# Broadcom Becomes Anthropic's Lender as Well as Its Chip Supplier - Custom Silicon vs Nvidia - Week of October 5, 2026

> A synthesis of what investor and operator podcasts said about custom AI silicon versus Nvidia GPUs for the week of September 28 to October 5, 2026, built around reports that Broadcom will lend Anthropic up to $42 billion to lease its chips, the Anthropic S-1's compute commitments, a chip founder's view that hyperscaler chips exist mainly to cut Nvidia's prices, Nvidia's $150 billion buyback and first Vera Rubin production customer, and Micron's take-or-pay memory contracts running to 2031.

## Custom Silicon vs Nvidia

### Week of October 5, 2026: Broadcom Becomes Anthropic's Lender as Well as Its Chip Supplier

---

**Last week the big custom-chip news was that Anthropic would become Broadcom's largest customer. This week we learned how Anthropic is going to pay for it: partly with Broadcom's own money.** On Bloomberg Intelligence's podcast, Bloomberg's tech managing editor Sarah Fryer reported that "Broadcom has agreed to lend Anthropic... as much as $42 billion to lease its chips." On Monetary Matters, Ed Zitron, reading from Anthropic's newly filed IPO prospectus (the S-1), described a separate "$35 billion deal" where "Anthropic is only responsible for $5 billion in the event of its insolvency."

That matters a lot for this letter's central question. For two years the main attack on Nvidia has been "circular financing": Nvidia investing in or lending to customers who then buy Nvidia chips. Now the custom-chip champion is doing the same thing, at scale, for a single customer. The custom-silicon trade just picked up the same weakness its fans have been pinning on Nvidia.

Meanwhile Nvidia had a strong week. It announced a **$150 billion** addition to its share buyback, Morgan Stanley made it a top pick, and CoreWeave put the first paying customer into production on Nvidia's next-generation Vera Rubin chips. The insiders who spoke this week were also blunt about custom chips. The CEO of chip startup Fractile told No Priors that "there's a bit of a joke today" that the hyperscalers' own chips exist mainly "to reduce the price that people pay NVIDIA."

A quick refresher for new readers. An **ASIC**, or custom chip (the industry also says **XPU**), is a chip a company designs for its own specific job, Google's TPU, Amazon's Trainium, OpenAI's new chip, instead of buying a general-purpose Nvidia GPU off the shelf. Companies like **Broadcom, Marvell, MediaTek and Alchip** are the engineering partners that turn a customer's design into a real chip made at TSMC. This letter tracks whether custom chips are eating into Nvidia's lead, and whether the whole build-out can keep paying for itself. Throughout, "relayed" means a company figure repeated second-hand on a podcast, worth checking against filings.

## TL;DR

- **Broadcom is financing its biggest new customer.** Bloomberg reports Broadcom will lend Anthropic up to **$42 billion** to lease its chips, and counts more than **$1 trillion** of "circular financing deals, largely driven by NVIDIA" ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3DA0FY_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FAjb4xJnAEO5-2FPAa4gdprBdjivvBFppK6H5BjCgKsPhcmpNQ30gbtlrB3nvfyoTrcYl7uWltZsoVC9d9Dmhh-2BuVZOJSGbspEJvc7Bd3T83WSNAgGIhFDQ7S1Z9nhXrLYUA-3D-3D)). Ed Zitron says one **$35 billion** Broadcom-arranged deal leaves Anthropic on the hook for only **$5 billion** if it goes bust ([Monetary Matters, Ed Zitron](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOiF7Ewy2QArPyMKuALtwOM0dYCH6EiSjpsTGJmRqq0JP2DPtM3-2FhjtOTVSbDzQacBZxRG2b5QKu8FYb0nFgTtLV-2FnrXeLoLebyrE-2B0Iw72txg-3D-3DW-zn_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FMRWYEhzpilx7V2h1xAj2Sis-2F24QZqN32BeFCpq3Hf8EwgcbYLn-2BgkLB7OsUvs2txsKEKdx9z7CVo9Rx6pJpQtGOZ3IQfRis9bAG-2BThzhR0AKZ6QEw8bISzFsaeHltWs5A-3D-3D)), a filing relayed second-hand.
- **Anthropic's S-1 puts numbers on the custom-chip bet**, but podcasts quoted it differently: "just north of $500 billion" of commitments (Bloomberg Intelligence), "over $400 billion" of non-cancellable compute deals with "over $100 billion" in leasebacks with Broadcom, and elsewhere "$252 billion" (both Zitron). Read the filing before you trade on any one of them.
- **An insider says the quiet part out loud.** Fractile CEO **Walter Goodwin**: hyperscaler chips are "architecturally quite similar," and "the joke" is their "primary purpose is to reduce the price that people pay NVIDIA" ([No Priors](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOj-2FEVmnRbNzbX4ortyhu-2FEOBo0E17asWDekGjKnIuMfwZPVpWKXcqkOe-2B6iqKyZxQmGjoHqrXCogSYpNWLBvsp5ev9RF2JcGkQ1Qv68B5QN8A-3D-3DNdhV_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FIvtjcLVf4LSX7gW2Nb2sJInq4Jrro2ZeOcmF5dMwahCESkrUvk5j3HTsBpJNBM2kVTifg3yuX-2FipA4bFBTxokHLE646l2NLon-2B50jTEKu642FKobR1aRuRuHdQ0anTVOQ-3D-3D)). He also names OpenAI's chip: "OpenAI now with Jalapeno."
- **Nvidia's week: $150 billion more buyback, a Rubin customer in production, and a design win over Cerebras.** CoreWeave CEO Michael Intrator said Cognition is "the first client in the world to enter into production on Vera Rubin," and Jim Cramer relayed a SemiAnalysis report that OpenAI's GPT-6.1 runs on "an NVIDIA GPU," not Cerebras ([Squawk on the Street, 9/30](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg0BYxiaoe9xk8vaxXilumO7CouI-2BDg7lNGQYRPZF2NiV-2BCaOtEGYbqBeEVI6ZOGLptzDlXvzbjIri84i-2FbvhMfqfc8J2fclq-2BSy-2Ffd55oohg-3D-3DPzyx_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FC-2BjTy86SpHQQKiRhXVjs1k2ycmwfp7ym8cGWRs4caJJ5pWU-2FVYIuYSpODfFy-2BACwMx6qUSfaOiDDQ6BxHBKSCmEqUvdzm6j0YcznH5rSj9utc12o3kYGkXQPqeHn8ps0g-3D-3D)).
- **The financing argument for Nvidia got sharper.** Analyst Ben Pouladian: "You can try to finance TPUs, but you can't finance like a lot of these other custom startup types of chips." His image: the GPU is "Rodeo Drive." "What street is TPU on? What street is Tranium on?" ([Monetary Matters, Ben Pouladian](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOh-2ByHvp-2FifJ6gWty-2FKFD7cwWklbM48wD33nXsNoQxf-2Bd-2BBC02jRXA3bal3BcoNyvDMnjjmVsHNv4DQxgEIKpeA-2FGSXZRmFdf2xB41ZHWUGpPQ-3D-3D3-_K_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FKX4d0kJiGqLbBtZ3BM8Dlr0Fqckqvlgm0BpVToO8FWsi9-2FLOV44NsF90h4MpMAgBdjL9S2C83CU2wjHnaRy9KcKUBKJjds26hKeiJt4Ogi0i0okXW5XOpOxD3aHNT4C1g-3D-3D)).
- **Old Nvidia chips are worth more than when they were new.** Crusoe CEO **Chase Lochmiller**: prices for renting Hopper GPUs today are "higher than the rates that were being charged three years ago when they were brand new" ([20VC](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhn8UNSIzkhCNbRHnr09sQ0VgHkUOj3n8-2Bn-2BD-2FLplDlrNz7n4llUGsYcLGGeQqmYmVFVatBayScnT29Udl3n4eSEB8zli43Mq56Npg32fQLJA-3D-3D9FLr_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FNnHNiO72AmN8qil0b7BS-2FzlRY-2FOPxHUOd0gEhx273z9Yu9yuxwfN2rvtaeXi1-2FXj9ctwFjf7fwdpH8PT0cHmC9pFLnhUWNTr04ojyBSckD54mgnKoJC2sJgsR7nKbx9jA-3D-3D)).
- **The China cost threat, from a former Intel and AMD chip chief.** Raja Koduri: a gigawatt of AI compute costs the West "$50 to $60 billion," of which "$45 billion... goes to these things called GPUs." China's target is "less than 10 billion dollars," which he calls "a five times to six times cost disparity" ([TechSurge](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOgo3eTi7p9XC-2FgAh9i1BXN49rcnQT5Gk3Xl0d-2BfqjbiHPe9dhQArPMHGznCy1NVyv1g4ASso7KAf2DvoDssmfALllbVBIG1Rj2lvsg2OjmLSw-3D-3DQk5l_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FA38Xgc-2Ba8KYVpkAGWHDzaH-2FuLYrcatvTaqvU5KkbdrPp9zRIRHsWSO8OdYhzIXhE9dijYWaxNaYwPvjoJ7-2Bz6zCWm7VZKWd3TRXPB64HO9oPv6FEfchaTjVxHtbt7Pn-2Bw-3D-3D)).
- **Memory beat again.** Micron printed an 87% gross margin and guided about 86%, with long-term customer contracts now running to 2031 ([Squawk on the Street, 10/1](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjZT6oUvOekMr-2BVTaLcYclmCE2qMjeOz74ry4mmfYX4Gz-2Bzn-2B2cCXjkb8Fqhq-2BuiGuIUP7DMRwZ31DQ43owfIjkk0kWlEz4nCpAY4SzZLwesQ-3D-3DXDXv_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FAwx3K8jvDdILC9RWfHXK4SOFkEndNfvohSiwx9ubEmz6GNlPM00JXUDiIrZ8yqVsMrFB7WwfiDTun8Ig56ie-2BLGzCucTXobrWvgz1-2B4b-2ByND4Je5TSLQqhD5w3QCzWTbA-3D-3D)); Bloomberg Intelligence says new memory factories won't add meaningful supply until "end of 2028" or "more like a 29 story."

## What's new

Ranked by how much each item moves numbers for a portfolio: customer and financing news first, then company results and operator commentary, then opinion.

### 1. Broadcom turns lender: the Anthropic deal comes with Broadcom's own money.

The single most important custom-silicon development this week wasn't a chip. It was a loan.

**What was reported.** On **Bloomberg Intelligence** ("Micron Gives Bullish Forecast, Even as Pay Raises Crimp Margins," October 1), **Sarah Fryer, Bloomberg's managing editor for technology**, said: "Chip maker Broadcom has agreed to lend Anthropic... as much as $42 billion to lease its chips." She put it in context: "We've tracked altogether over $1 trillion in these types of circular financing deals, largely driven by NVIDIA" ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3D8MMW_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGcMnoE5B-2FPB88yCdNEf5qIJZA2RKSZa0WU9CWyjZE1-2FG0VGYI2MrjbCJ1ASYGhQ9BqD3TMvfKFQAlSKVkaJ0SeZcG-2B5WbXO1WuhQ6TAWMiAs0igSPSBUHdGUD4yJScscw-3D-3D)).

A quick definition. **Circular financing** means a supplier puts money into a customer, as a loan, an investment or a guarantee, and the customer uses it to buy the supplier's product. It makes the supplier's sales look bigger, but the supplier now carries the customer's credit risk.

**What the S-1 reportedly says.** Anthropic filed its IPO prospectus last week, and several podcasts picked through it. On **Monetary Matters with Jack Farley** ("Ed Zitron on Anthropic's IPO (S-1), AI Debt, and Counterparty Risk," October 1), Ed Zitron, a well-known AI skeptic, so weigh the tone accordingly, laid out the Broadcom piece ([Monetary Matters, Ed Zitron](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOiF7Ewy2QArPyMKuALtwOM0dYCH6EiSjpsTGJmRqq0JP2DPtM3-2FhjtOTVSbDzQacBZxRG2b5QKu8FYb0nFgTtLV-2FnrXeLoLebyrE-2B0Iw72txg-3D-3DrCmv_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FE0m1BxVC8uTlwU5SF4UJFgxFJjkt63MJobRrLoJTyXr8ICv373Mt4JdhB4A-2F-2BdyWV2auSGulWwYamsFIbikCMXCKbo-2BzQ1KNhgw8R14m-2BVFqZUcmkhEuoLBOXJeNSg-2F-2Fg-3D-3D)):

- **The size.** "Anthropic has over $400 billion worth of non-cancellable computer agreements. With over $100 billion, I think it was, with that going to leasebacks with Broadcom." (Note the "I think it was.")
- **The structure.** "One of them is a $35 billion deal where Apollo and Blackstone, maybe? Basically, Broadcom did $35 billion of loans, but Anthropic is only responsible for $5 billion in the event of its insolvency. And Broadcom has to pay them back otherwise." He adds that the fallback plan is that "they try and sell the TPUs to someone else."
- **Two layers of exposure.** "They are buying TPUs directly from Broadcom that they then put in Google data centers and Google rents back to Anthropic. And also, Google is buying TPUs to serve Anthropic's compute on top of that."

**The Broadcom bulls' own podcast flagged it too.** On **Collect Cash** ("BREAKING: Broadcom Just Signaled a Major Buying Opportunity," September 30), a bullish host still warned that "Broadcom is on the hook for roughly $29 billion in guaranteed ties for its XPU platform. If a lab like Anthropic or OpenAI suddenly stumbles... Broadcom isn't just a bystander." He added that "roughly 45% of Broadcom's revenue comes from just 5 customers" ([Collect Cash](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOho3Xdm8OBrgPDRWYnqCh3ZYrKGtCScmF1R-2B5MF2WY8AawsvCoF7tfuiXuHR1qDdFg3YC4pwp75N8y3FzHP-2BELWNNxd2G6dnIvHvJ6zV73McQ-3D-3D4vgq_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FLW8ZrehadJCCS-2Fughwwd1WF2mZkB71JAPWN7thPzohOteSpWerf8Sq8L6tvnRnm6SD72cwpKHIBNcNTIfxm-2BIWiogsWS-2B63aE354ITLegX-2BfED3pZCiESFrkDFTuH1rlw-3D-3D)).

**A warning on the numbers.** Three podcasts gave three different exposure figures: $42 billion of lending (Bloomberg), a $35 billion deal with a $5 billion Anthropic backstop (Zitron), and $29 billion of guarantees (Collect Cash). They may describe different slices of the same arrangements, or some may be wrong. The S-1 and Broadcom's next 10-K are where to settle it. I'd treat the direction as solid and the exact figures as unconfirmed.

**Why it matters.** Last week Morningstar told us Anthropic is set to pass Google as Broadcom's biggest customer in 2027, at roughly $60 billion. This week we found out Broadcom is helping fund the purchases, and in at least one structure is carrying most of the loss if Anthropic fails. Three takeaways:

- **Broadcom's custom-chip revenue is now partly lender-quality revenue.** The question isn't just "will Anthropic order?" but "can Anthropic pay?"
- **The fallback depends on reselling TPUs**, exactly the thing Nvidia bulls say custom chips are bad at (see item 4).
- **The "circular" critique now applies to both sides.** Nvidia bears lose an easy talking point. Broadcom bulls gain a new risk to explain.

### 2. Anthropic's S-1: the custom-chip trade now has a prospectus.

Anthropic matters to this letter because it's the biggest outside buyer of Google's TPUs and the customer behind Broadcom's 2027 ramp. Its S-1 is now the closest thing we have to an audited view of custom-chip demand. Here's what podcasts said it contains, and where they disagree:

- **Bloomberg Intelligence's Jake Silverman:** "If you look at the prospectus from Anthropic, they're talking about just north of $500 billion in terms of commitments over several years" ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3D-uSY_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FBcUjRgDWA-2Bf0-2FgQ6IbUet0IRvcSCGuWXF4yK2QKhcbIFYd-2Bm4JL3qzoy1TG3ZEPjtxLtchFVxLgEBmUqY-2BfvBB97f5gi6NbxsgNp2QLfF4HlM-2FwysfdxFfb2jAdfb503A-3D-3D)).
- **Ben Pouladian (BEP Research):** "they've committed over a half a trillion dollars over the next few years on compute contracts. I don't think that's Tranium. I think a lot of that is probably NVIDIA GPUs and Google TPUs" ([Monetary Matters, Ben Pouladian](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOh-2ByHvp-2FifJ6gWty-2FKFD7cwWklbM48wD33nXsNoQxf-2Bd-2BBC02jRXA3bal3BcoNyvDMnjjmVsHNv4DQxgEIKpeA-2FGSXZRmFdf2xB41ZHWUGpPQ-3D-3DLwDH_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FG-2B9RtbpJos4Hk4xIlaVqZ8IJ7n8AGKYqrnqtnrrDiip6G0MZ43InACF0jzPh-2Fz3WxGCt5OpuO2DCtI7AYhy4dpqk9gCNkR-2FfW-2BBudmjlf04QrU3hqVazoui57ddeibn5g-3D-3D)). That's his opinion about the mix, not a figure from the filing.
- **Ed Zitron:** "over $400 billion" of non-cancellable agreements, and separately "those $252 billion in non-cancellable compute agreements, those are factored into analyst expectations for Google, Amazon, and Microsoft" ([Monetary Matters, Ed Zitron](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOiF7Ewy2QArPyMKuALtwOM0dYCH6EiSjpsTGJmRqq0JP2DPtM3-2FhjtOTVSbDzQacBZxRG2b5QKu8FYb0nFgTtLV-2FnrXeLoLebyrE-2B0Iw72txg-3D-3DZ5X8_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FAY0ZiK5H42fRHXMIDpFJQxeSSrB884LNCfzUCc2fbaj8SHAkaXRqzgBiFqLAADAQ8AczBxw6jtsqZWsU2atmp9uq3u3aSDoetmDQT9zvv-2F3akqBlTm4TsAdiiGVzcaQyQ-3D-3D)).
- **On CNBC's Halftime Report**, the Anthropic S-1's risk language got airtime: Scott Wapner read out "catastrophic or existential risk to humanity," and the panel referenced roughly **$51.8 billion** of planned cloud and infrastructure spending in the coming year ([Halftime Report](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjGzZNcJaqVCQa-2BOBhTcFPQwLH0jp-2BYdEFP9NCFnJrDAYJ7P5C4970NUzJYnWMYxm3TL-2BIBteknBAHXCzZ603gHXUhrNkPsYgaMTRpJ07WRqg-3D-3DDevx_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGTjrfBNH1DbCRUSZspJQlb1vcKfsbX30-2BuWw-2FDt3iznU393GqXfom0OGYL9vubcwJjTj7OEPeWGDjI6q3DONKy3Mm5-2F2hiRT3DmwPiuNdf-2B3l3N0usk6OaPiBktUi9OWw-3D-3D)).

**Why it matters.** The gap between "$252 billion" and "$500 billion" is too big to wave away. It's the difference between total commitments and the strictly non-cancellable portion, or a misreading. Either way, the customer that last week's issue called "the single company the whole custom-silicon trade depends on" now has its commitments in a public document. For Broadcom and Google, the useful exercise is to map the S-1 commitments against their backlog. For Amazon, Pouladian's claim that Trainium is *not* the main beneficiary is worth testing against AWS's own disclosures at Q3 earnings.

### 3. Insiders on custom chips: "reduce the price people pay NVIDIA."

The best insider conversation on custom silicon this week came from a startup founder, not a hyperscaler. On **No Priors** ("The Future of Frontier Model Architectures with Walter Goodwin, Fractile Founder and CEO," October 2), host **Sarah Guo (Conviction)** spoke with **Walter Goodwin**, who is building an inference chip ([No Priors](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOj-2FEVmnRbNzbX4ortyhu-2FEOBo0E17asWDekGjKnIuMfwZPVpWKXcqkOe-2B6iqKyZxQmGjoHqrXCogSYpNWLBvsp5ev9RF2JcGkQ1Qv68B5QN8A-3D-3DTaHT_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FOgZ5M53OrWl0Wqcj8SdGUPPAYoq7P9BvIGKGtxB9DRctwAldvHMKzoh8wTDcJgXQ9GwxJXzFTIdO-2FDZDwi-2Fa-2FyZ-2FTIFjze-2FqODNw9NZnwDEJEcTdQhzjLI5wCkbmQAv0A-3D-3D)).

**The chips are more alike than they look.** Goodwin listed the in-house efforts, "Google with the TPU, Meta with MTIA, Microsoft with Maya, OpenAI now with Jalapeno," and said they are "ultimately developed and delivered in partnership with... a relatively small number of what we might call ASIC houses." "Broadcom is the largest, you know, $2 trillion company that help people kind of realize these designs." Under the hood: "all of these chips, you have HBM... the same kinds of bets on tensor cores to do your matrix multiplications, the same advanced packaging with TSMC."

**What Broadcom actually adds.** He explained the hand-off in plain terms. The customer designs the logic; Broadcom turns it into a physical chip. "In Broadcom's case... it will be ownership of analog IP that is used for chip to chip connectivity. And it is this kind of physical placement that is specific to a given process node at TSMC." In plain English: Broadcom owns the hard, unglamorous parts, the circuits that let chips talk to each other, and the layout that makes a design work on a specific TSMC manufacturing process. That's the moat that keeps customers coming back.

**The pointed line.** "There's a bit of a joke today that the sort of first party efforts, their primary purpose is to reduce the price that people pay NVIDIA. And there may be some truth to that as well, because those efforts are kind of architecturally quite similar, right? So it's a bet that is not on enabling a fundamental capability that those other chips cannot enable."

**Nvidia's system advantage.** "If you crack open an Nvidia system it has anywhere between kind of six and nine custom chips all built by Nvidia." Custom-chip programs mostly build one.

**Speed and money limits.** Even with faster design tools, "from the moment you send the chip to them to getting it back is, you know, three to five months, even in a kind of super hot lot scenario." And to make financial sense, "you have to have really a kind of three to five year amortization window for that chip." (Amortization window = how long the chip must earn money to pay back its cost.) His view of what wins: "if you can just find a way to structurally carve out a three to six months advantage, you will be winning all of those deployments."

**Why it matters.** This is a useful corrective to the "custom chips are taking over" story. If the main value of a TPU or MTIA is bargaining power, then custom chips cap Nvidia's *prices* more than its *volumes*. That's bad for Nvidia's margins, but it also means custom programs only need to be "good enough," which supports the ASIC houses (Broadcom, MediaTek, Alchip) whatever happens to the chips' performance. It also fits Morningstar's view last week that custom chips are "gross margin dilutive" for the designer: the whole point is a cheaper chip.

### 4. The financing case for Nvidia: "What street is TPU on?"

On **Monetary Matters** ("Token Bill Dwarfs CPU Bill | Ben Pouladian on Meta's Muse, Anthropic S1, and Why All Roads Still Lead to NVIDIA," September 30), **Ben Pouladian of BEP Research**, a long-time Nvidia bull, made the sharpest version of last week's Jensen Huang argument ([Monetary Matters, Ben Pouladian](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOh-2ByHvp-2FifJ6gWty-2FKFD7cwWklbM48wD33nXsNoQxf-2Bd-2BBC02jRXA3bal3BcoNyvDMnjjmVsHNv4DQxgEIKpeA-2FGSXZRmFdf2xB41ZHWUGpPQ-3D-3DZfD4_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FO4QhpB83cyji22F7XoRPjpagHBYuVDVkcQQGbvj1RkIFTB8VcaHIDZJYUbjm5Rz1rOXP3jhlFbo-2FnmsDaQjnW5plUYXKxxZQwWXgpvUh5EGIFBjQl0DaBW42zpStNS2Gw-3D-3D)).

- **Lenders understand GPUs.** "That's the whole point of the fungibility and the financeability of compute through NVIDIA hardware and their stack... You can't finance training. You can try to finance TPUs, but you can't finance like a lot of these other custom startup types of chips." ("Fungible" means interchangeable: if one renter leaves, another can use the same chip.)
- **The real-estate analogy.** "This is like digital real estate at its core... Your GPU is like your High Street, Rodeo Drive, Bond Street... Fifth Avenue type of location. And you know, once that space goes vacant, there's a list of people waiting to fill up that spot. The question is, what street is TPU on? What street is Tranium on?"
- **On Elon Musk's switch.** "All roads and rockets lead to NVIDIA... Elon Musk, who for many times was like, oh, we're going to build our own GPU. We're going to do Dojo... And then he comes out and says, you know what? Scratch that." Pouladian describes Tesla and SpaceX as now on Nvidia's "NVL 72 Vera Rubin platform... exclusive NVIDIA." That is his characterization, not confirmed by Tesla on this podcast.
- **On Trainium.** "Their Tranium chips sort of kind of fell behind. If you remember a few years ago, a lot of Claude was trained on Tranium and you would have a lot of outages."
- **On AMD.** He sees AMD "squeezed in the middle": if OpenAI has Jalapeno, Meta has MTIA and Microsoft has Maia, "why would they try to buy an AMD product for inference?" He's also skeptical of AMD's first full-rack system, Helios: "basically twice the size of a Blackwell system... already I'm hearing that there's potential delays... the thing weighs like eight tons." The delay talk is hearsay.
- **The software argument.** Asked what goes wrong for an Amazon buyer who skips Nvidia, he pointed to shared improvement: with "a Tranium or a TPU, which is basically internal to your own use, how is that open source? How is everyone going to be able to improve on that?... You save on cost, but then again, not everyone's using it."

Host Jack Farley also raised a useful data point from TrendForce: across chips, memory, substrates and capacitors, "everyone was tight to very tight except for GPUs, which was balanced." That helps explain why Nvidia shares lagged "every single other part" of the chip sector this year.

**Why it matters, and how it connects to item 1.** Pouladian's argument is that custom chips are hard to finance because nobody else wants them. Zitron's description of the Broadcom-Anthropic deal, Broadcom covering most of the loss, with a plan to "sell the TPUs to someone else" if things go wrong, is that exact problem showing up in a real contract. TPUs are probably on a better street than a startup's chip (Google can always use them). But the lenders asked Broadcom to stand behind the deal. That's what you do when the collateral isn't Fifth Avenue.

### 5. Nvidia's week: $150 billion buyback, a Rubin customer live, a win over Cerebras.

**Vera Rubin is in production.** On **Squawk on the Street** (9 a.m. hour, September 30), **CoreWeave co-founder and CEO Michael Intrator** said: "We brought our first client. It is the first client in the world to enter into production on Vera Rubin architecture. Cognition, great client of ours" ([Squawk on the Street, 9/30](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg0BYxiaoe9xk8vaxXilumO7CouI-2BDg7lNGQYRPZF2NiV-2BCaOtEGYbqBeEVI6ZOGLptzDlXvzbjIri84i-2FbvhMfqfc8J2fclq-2BSy-2Ffd55oohg-3D-3Dv5X2_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FOC23sS0Mr-2BYb-2Bxf8j9E2cFtNk6Ial9mUdPkWdkZ-2Fcci1l7BrQISxXlYarcbYpQ-2BfzvBNqg12IXng2kQpZpfcHQXcwRNsABfQs7Cm5aZLBucalmCKUBWmM7NmoXwnUrt4A-3D-3D)). He explained that Vera Rubin "brings together the GPU... and also NVIDIA's CPU" in a single server. Last week CoreWeave had announced a Rubin cluster; this week a named customer is running on it.

**Demand and margins, per CoreWeave.** "There has absolutely not been any reduction in orders." On rising rates: "the margins that we are earning are expanding faster than the rates are going up."

**A CPU boom inside the GPU boom.** Jim Cramer asked whether the ratio of GPUs to CPUs (regular processors) is heading to "GPU-1, CPU-4." Intrator didn't give a ratio but said "you are going to see substantial demand for CPUs across the board. They are going to be inside the GPU servers. They are going to be independent of the GPU servers." AI agents, software that takes many steps on its own, use a lot of ordinary computing. That's good for Nvidia's own CPU, for Arm (whose designs sit inside Nvidia's and most hyperscalers' CPUs), and for AMD and Intel.

**OpenAI's newest model runs on Nvidia.** Same episode, Cramer: "I thought Cerebrus... were the chip for OpenAI's latest GPT 6.1... [SemiAnalysis] did break the story this morning. No, Cerebrus does not have that. It is an NVIDIA GPU, low batch size." That is a report relayed on air. (Batch size is how many user requests a chip handles at once; "low batch" usually means prioritizing speed for each user.) OpenAI is building its own chip with Broadcom and has worked with Cerebras, yet its flagship model still landed on Nvidia.

**The buyback.** Several shows covered the announcement. On **Halftime Report**, Josh Brown: "$96 billion this year in free cash flow. Next year, that number could be $375 billion in free cash flow on $680 some odd billion in revenue... What is he supposed to do with the money? Employee pizza parties?" He called the authorization "the biggest stock buyback in the history of planet Earth" ([Halftime Report](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjGzZNcJaqVCQa-2BOBhTcFPQwLH0jp-2BYdEFP9NCFnJrDAYJ7P5C4970NUzJYnWMYxm3TL-2BIBteknBAHXCzZ603gHXUhrNkPsYgaMTRpJ07WRqg-3D-3DzzLU_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FBWDjQEoi4sL69Sw3Q6veFFdNiagQLfcPakNQUpto7Eig7VqFbge3W858K9pSqosOa-2FRnL7olfVMB92zkKH2-2BC6z6oYwu022E5Nbc-2Fx3NAprYiHlRmHSVbfOL0KPA-2FwFXQ-3D-3D)). Those are his projections. A compilation episode on the **Elon Musk Podcast** pegged it as a $150 billion addition to a $235 billion total, "roughly $15 billion a month," with Nvidia at "24 times" forward earnings ([Elon Musk Podcast](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg2-2Bm11bwc0KU-2F1n-2FVaedNk212GwQmarpPaOl-2BLziq-2BymH755hJb6qPr7ERQ1EF2VNTLhGADQQauYRzTKVbwdoufQ132FdM55m3HkqygE6O9w-3D-3DfSfi_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FP-2FCD3gpUY6rzlCSRxi6iaiS1-2BWsrosMr5oYJ8dlcbCy0VSXz4SIoJChdMds5xHvNzoD5xdtZ2gnSWz2nY2mWG8qTpzOUJjedDk4J58TXTKZnb3EQRGTiup-2BBTWfoH3S9A-3D-3D)).

**The stock.** Brown framed it as a breakout setup: "if this stock breaks out of 235, which is the high from April." On **Schwab Network**, the Morgan Stanley top-pick call came with a $300 target; host Tom White noted "competition for specialized chips from Marvell and Broadcom. But their customer base is pretty widespread here" ([Schwab Network](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhx0C-2B1uyUj0osrvDodpDH1olKMstUBK6k-2F6vb6U4bi8Ha-2B8HAXz-2BnPxe7icIw1V8bL-2B83h-2BSebpWlhpY9kOiHa-2FIA1MnruV7PlbTM2NUV6qA-3D-3DW-Xp_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGFnjZUcD7xzllfadpMVSTzU58Ldyl-2FDADrAH1OJ4YLTG8hs88xOk164WIRiStIZZd-2BdUx59jgTKr9fWkIExbIZBgV4bD5GG1khYHHJ6N8skoXOSyU9410lO2UFKz3LhZw-3D-3D)). Bloomberg Intelligence's Kunjan Sobhani, on **Bloomberg Tech**, was cooler: the buyback "doesn't do anything to address the fundamental risks that can the capex from hyperscalers sustain, the rising competition from the ASIC areas" ([Bloomberg Tech](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOi499pqVc1kK6i4McXwyxYSEu-2BuZc2kQJS7gkzS1tLYMQOEh73toQlBonCysV8SiJ6lEaPV39Uv9ZyIJn-2BnjiV-2B-2By53WABSqqOFQsubYkceLQ-3D-3D503d_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FPx1du2c9uBvqkDG8Q4vzlcmP0rydb5jN0KvEoNa56LUTTVxENZwqppTK08ata0Im9KZETJ9LBwqfTo93qlbMUApGTDUrxs-2BF6YZZya6cWXRZD3wA6bv3w2vNJ0BYWbfwg-3D-3D)).

**Nvidia also pushed further into the rest of the data center.** Nvidia's new agent-security software (OpenShell, with "Sentry" enforcement running on its BlueField networking chips) came up on several shows. **Justin Boitano, Nvidia's enterprise AI lead**, described "millisecond scale containment and quarantine" of misbehaving AI agents ([Elon Musk Podcast](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg2-2Bm11bwc0KU-2F1n-2FVaedNk212GwQmarpPaOl-2BLziq-2BymH755hJb6qPr7ERQ1EF2VNTLhGADQQauYRzTKVbwdoufQ132FdM55m3HkqygE6O9w-3D-3D2txi_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FDcR3Gy2zxDZ2gaWE9NOrw4Oi5qxwVEvS3sd7KmNCUJ6fZ3-2Fe4Pa2BIywCEKu-2FyOaaV97BESIc3pO7dT7jQ1ZqPAtTgherWSwtT7jT2A0rUsalujHQzjYAQDbSEkinw7Zg-3D-3D)). The host's summary: "You can view the code for OpenShell all day long, but you have to buy the Bluefield DPU... It is an open door that leads directly into a proprietary building." Pouladian noted the sandbox "works on x86 ARM and NVIDIA chips, but not on AMD."

**Why it matters.** Goodwin's "six and nine custom chips" line explains the strategy. Every layer Nvidia adds, CPUs, networking chips, security, is another part a custom-chip program has to match or buy from someone else. The custom-chip case is strongest for the AI accelerator alone. It gets weaker as the competition becomes the whole rack.

### 6. Old GPUs are earning more than new ones did.

Last week the depreciation debate swung toward the bulls on evidence that chips stay in use for six to nine years. This week a data center CEO added a sharper data point.

On **20VC** ("The Future of Datacentres... Why Everyone Gets GPU Depreciation and AI's Energy Costs Wrong," October 3), **Chase Lochmiller, CEO of Crusoe**, told Harry Stebbings ([20VC](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhn8UNSIzkhCNbRHnr09sQ0VgHkUOj3n8-2Bn-2BD-2FLplDlrNz7n4llUGsYcLGGeQqmYmVFVatBayScnT29Udl3n4eSEB8zli43Mq56Npg32fQLJA-3D-3D46dn_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FIFrRxVV-2Fmsp-2BgIi6ZS8elE3aaNeS8Qh-2B88bmQqt7g8brmYCBSqml9spRTLJTQMAvfdWyAVpGeW6gamwK9x30lwiKvcwIb0ImgJpNY8KGWNpOZKl-2FqUEEusx-2Ftdnzv6IHA-3D-3D)):

- **Hopper is worth more now.** "When we started to make really substantial purchases with hoppers... in 2023, the feedback we got was like, well, we don't even know if this is going to be valuable after year three, right? Here we are three years later and the prices being charged for utilizing hoppers is higher than the rates that were being charged three years ago when they were brand new."
- **Six years is the norm, and he wants longer.** "We use a six year depreciation cycle. That's sort of the standard across the industry." Crusoe's managed AI services exist partly to "extend the depreciation cycle beyond six years," because "there's also going to be demand... for much cheaper alternatives... with a older generation of chip."
- **Where the value sits.** "The GPU is actually the most valuable thing in the entire data center... So it's the thing you want to make sure you're keeping busy."

**Why it matters.** This is real evidence for Pouladian's "Rodeo Drive" argument: three-year-old Nvidia chips are renting for more than they did new. We don't have a similar public data point for a three-year-old TPU or Trainium, because those aren't rented out on an open market the same way. That missing data is part of the problem for custom chips.

### 7. A former GPU chief on China's cost threat, and why the newest chip may not matter.

**Raja Koduri**, the former chief architect of Intel's graphics group and earlier a graphics chief at Apple and AMD, now runs **Oxmiq**, which he described as "a broadcom for NeoCloud." On **TechSurge** ("Gaming Chip Pioneer Raja Koduri on China's AI Cost Advantage and Moving Beyond the GPU," September 29), host **David Goldman (Celesta Capital)** drew out some striking numbers ([TechSurge](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOgo3eTi7p9XC-2FgAh9i1BXN49rcnQT5Gk3Xl0d-2BfqjbiHPe9dhQArPMHGznCy1NVyv1g4ASso7KAf2DvoDssmfALllbVBIG1Rj2lvsg2OjmLSw-3D-3DiLfS_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FOjIS-2BQcDQEkdV195FpjZhwXF9-2Fktbp0x3JBdgd5E8548FeerVMM08hVH8zG73rTP6AlmDCMmUj7p2e-2F09fJVuvpiovvNOFNTPiyC0sUJIAn1uMalrxSue-2B8MjBC3eRarA-3D-3D)).

- **What a gigawatt costs.** "Every gigawatt today is a 50 to 60 billion dollar capital expense, out of which 45 billion dollars goes to these things called GPUs." Demand math: "we need over 400 gigawatts of new compute infrastructure by 2030. It's around 24 trillion dollars of capital needed... I don't think we have that capital."
- **China's target.** "The target for China Inc. for gigawatt is to be less than 10 billion dollars. We are at 60... That is a five times to six times cost disparity." He'd assumed three years: "I see indications that they will be able to do it much sooner than that."
- **Why older chips can win.** "You can take TSMC 7 nanometer die, which is... first launched in 2019... attach it to DRAM... 3D stack, hybrid bond it. Okay. You get 10x the bandwidth than the current HBM. And 10x token generation rate. That package will beat [Vera] Rubin." His point: "the assumption that the advanced technology by... logic process node is necessary for winning in inference... is not quite accurate. You need advanced packaging. You need ways to combine memory and compute."
- **Memory is the bottleneck.** "The bottleneck has shifted quite significantly to how you deal with memory hierarchy... You have SRAM. You have HBM. You have the NAND tier." He noted an Nvidia NVL72 rack needs roughly 15 DRAM wafers for every logic wafer, which is why he expects designers to lean more on SRAM (fast memory built into the chip itself).
- **Custom by package, not by chip.** "Doing a new package is a, you know, literally three months exercise... Doing new silicon is many years." For enterprise customers, "you could easily cut 20 to 30 percent of that cost."

Fractile's Goodwin made a similar point on No Priors: his design offers "25 times more bandwidth per chip than an HBM based chip."

**Why it matters.** Two operators, independently, said the next fight in AI chips is about memory and packaging, not who has the newest TSMC process. If that's right, Nvidia's lead on the leading-edge process matters less over time. Advanced packaging and memory makers matter more. And China, cut off from leading-edge tools but not from packaging, has a route to cheap inference. Koduri is selling a competing product, so treat the "beats Rubin" claim as a pitch, not a benchmark.

### 8. Networking from inside Cisco: custom silicon in the switch.

On **The Real Eisman Playbook** ("What the AI Boom Looks Like From Inside Cisco with Sam Badri," September 28), **Cisco's head of investor relations** walked Steve Eisman through the networking side ([The Real Eisman Playbook](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjt7AeaTJcte0yLTgT3pRq5m-2FP-2BLZdeaZpcDo3VyGVk-2BSuGofBHl2zI0FHMk2e3QDpecIesZ3VBR0ZAmMb9dlxqnKuB8zQ29w5pxXxGoLX8ZQ-3D-3De4h-_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FJsSdmwZurTEMT71yiPWab-2F8Vx-2BiI7vbl6h0be-2F7erv6OQbJrRGrp6Pg4zbi9pn4l70Ia6ov6dY727Dyd4muvaI23LfdWfzb42w0fHMB-2Bk-2BBPQXzE2q4whXWnsxo7UYEnA-3D-3D)):

- **Cisco makes its own networking chip.** "We have our own Silicon. So Silicon One goes into our switches... Whereas for Arista, they typically are buying someone else's Silicon." (Arista's main supplier is Broadcom.)
- **When it turned.** "The point in time it changed for Cisco when we started seeing significant demand for specifically our Silicon One-based systems... This was probably between six and nine months ago." Cisco's hyperscaler business is "almost doubling in FY27" but is still "below 20%" of revenue.
- **Power per rack is exploding.** "Back then in the 200 megawatt world, you'd hear about 35, 40 kilowatts per rack, right? Today, you have roadmaps that are talking about 150 to 650 and eventually like megawatts at the rack level."
- **On concentration.** Eisman raised that roughly 70% of Nvidia's receivables come from five accounts. Badri's answer was to watch "token consumption or token growth" as the "quality of the demand vector."

**Why it matters.** Cisco winning hyperscaler switch business with its own chip is a modest competitive point against Broadcom's Tomahawk switch chips, which power most of the Ethernet AI networks that custom-chip clusters rely on. The rack-power numbers matter for every accelerator: 150-650 kilowatt racks are Nvidia-class densities, and they set the bar for power and cooling suppliers.

### 9. Memory: Micron beats, contracts stretch to 2031, supply stays tight until 2029.

Last week we previewed Micron's results. They landed this week, and they were strong.

- **The numbers.** Per the **Schwab Network** earnings show, data center revenue of **$18 billion vs. $11.34 billion expected**, and gross margin of **87% vs. 86.2% expected** ([Schwab Network, EARNINGS ALERT: MU](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjYMjjMm6apgTZx0mi3zULP1j1fjRVYS46ECaDX5PmLZhgw2Jpqnp4apZOZgbZgwjwdu-2BELHjVRjqLdwBAqm-2BdTi27sCGnWwrWFiNgf45tJ6Q-3D-3D4k5c_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGdSWGwIXe6r1Ec9P3ldcR5R-2F964Wo6tSp0p7xhn2GnARmMdG9CT5bkpo7R0UaAD9TIBoYFuBS54YyEgQAPKOQ5u0Lm-2ByA2sAgo58pVxXinPtWs9qELuiwTowKCTcQ2J0g-3D-3D)), figures relayed on air. On **Squawk on the Street**, Micron's CEO discussed guidance of about **86.25%** gross margin, **26** strategic customer agreements with extensions to **2031**, and **$250 billion** of capex across Idaho, New York and Virginia ([Squawk on the Street, 10/1](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjZT6oUvOekMr-2BVTaLcYclmCE2qMjeOz74ry4mmfYX4Gz-2Bzn-2B2cCXjkb8Fqhq-2BuiGuIUP7DMRwZ31DQ43owfIjkk0kWlEz4nCpAY4SzZLwesQ-3D-3DcDay_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FFfhzwa-2BRLwd9GDal3A2hTN-2BEMb8Hlc9WATdnR3XqGzM-2BJ-2Bh74alN33-2F7LhSRigvgEjqJ9Sd69HHXym3HXw2Q31kNFAi-2BdN8W3ljERKJwZXuX8ai7DllBaGn9QfSj-2BMBvg-3D-3D)). The Futurum Equities podcast headlined a **$61.5 billion** Micron guide ([Futurum Equities Podcast](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjh-2F2k9vR7wQ1VoDAGeSY693b0fwl25idQkltgOvnr5q8T96si5-2B2-2BtQdKNXMK7j-2FFzTJaHo-2BAOf8vuu3RVTLbuBRvg2qfIdqCC1E9lyY-2BSLA-3D-3DjDUs_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FBpYXaOwBgehhxw01kkZKHpgWEFHcVsdd-2BUk1gYyuAwzjTLN4bDLKRz-2BAuUyf8-2BcF645IYcFaPKXadQfMDs8LECmvqh1xgNoiWkNLRcUHzvd2yXOY-2FCiEEtWLsTBjykgfQ-3D-3D)).
- **Contracts, not spot deals.** Bloomberg Intelligence's **Jake Silverman**: "They call them strategic customer agreements, SCAs. So there's these long-term contracts. They're take-or-pays. They're not like the contracts of a few years ago where it was just one-year volume commitments" ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3Djozf_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FCv2SkdrzkuG8MYqZpTZuPJ3WVa5JBZyHe8C4dwjGBuZdJasNqk52M1XYwfcdvvyg20Gwm2ejQaUlAnuNqCVoSsxHRtepgru6cWEUlxbRwT-2FyEDbmg50BxIqrmCalBsyog-3D-3D)). (Take-or-pay: the customer pays whether or not it takes delivery.)
- **No new supply soon.** "A lot of these fabs are really coming online at the end of 2028 for meaningful capacity... It's more like a 29 story."
- **Silverman's custom-chip take:** "Some of the companies that are helping these hyperscalers design their own chips are probably going to get a little bit more of that benefit, at least near term... it doesn't mean NVIDIA isn't well positioned." He noted Nvidia's edge in "wafer commitments from TSMC" and being "first to everything adopting things like co-packaged optics, HBM4."

Dan Ives (Yorkville Ives), on **The Pomp Podcast**, put the shortage more broadly: "Our Asia checks show a 13 to one demand. Like demand supply 13 to one for chips in Asia," and "you don't have equilibrium to late 2028, early 2029 in terms of chips" ([The Pomp Podcast](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjWSVJ1qNpXX3tWrFAB5EzecDrhmczuO3-2F3tU3nRLfm76p1-2BrpESR-2FvFRcJHP92RNReuKTwKI2sfFsGgXcnvy5dJ-2FHoi-2FRTY7S9iU4ekIe59Q-3D-3DbiqM_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FHgVZrfmAOykWoe-2FkJLgtNbTVBilnfBqssoQMjL-2FShKZwbhXJk9nkSds0wVYYhjw-2Fqbor3mohFk-2FwddC2c37ezBhlIEeKKa2b-2B0D8siL1fDq4iTIE7sGuIySXrAm194qKg-3D-3D)).

**Why it matters.** Every AI accelerator, GPU or custom, needs high-bandwidth memory (HBM). If memory makers have locked customers into take-or-pay contracts through 2031 and new factories don't arrive until 2029, memory is the part of the chip bill that won't get cheaper soon. That hurts custom chips more than Nvidia: Silverman's point is that Nvidia's purchasing scale gets it to the front of the line. Last week's "shortage to a glut" warning looks early.

### 10. Also this week, briefly.

- **AMD buys World Labs.** 20VC's news roundup and the Futurum podcast both noted AMD buying Fei-Fei Li's World Labs for about **$8.2 billion** ([20VC news roundup](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhGWUF48mFwpRHgL7FLqeVyb3CXk7TMDmmOoLxNz1ClPfXYkxuEq4Nl-2Fvac6EhIuBMjqF5LI5CiO2dhf-2BLdAuGi1QTzuZALbWasJdULZUtCiQ-3D-3DTcXO_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FPdnbXW8HLa7H3VJKrUpy19u4iRKb1W5dcEzb1-2B65gu4VeMVGZeSrvpr1YHgtIoi-2FQcb8SQAcnYxqU35c3aMk4-2FsfzVP6Ln-2FFoYdDe3T-2FSr3Rr9Ihee0UEDzJtlNgXxmsw-3D-3D)). It's about AI talent and "physical AI," not chips, per the Futurum discussion.
- **OpenAI on hardware.** At OpenAI Dev Day, Sam Altman said "New hardware is very hard to do," about consumer devices, not chips, and on Nvidia's agent-safety tool, "I think it's a good thing... I don't think it's a full solution" ([Halftime Report](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjGzZNcJaqVCQa-2BOBhTcFPQwLH0jp-2BYdEFP9NCFnJrDAYJ7P5C4970NUzJYnWMYxm3TL-2BIBteknBAHXCzZ603gHXUhrNkPsYgaMTRpJ07WRqg-3D-3DJV_S_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FJx43qWQNQ5hmkKyelpIVL3zPaIYnLeWlF-2ByH5-2ByuT95zX9tUF3-2F1aWcSctNHN7oQNGDMQjkin3fz6cXxiOi7ySCWoDtGcoYkSVoWwt-2B1tMj3JNg7y9H-2FSblDESXAP9wuA-3D-3D)).
- **Custom silicon at "half the price."** Collect Cash quoted Broadcom CEO Hock Tan: "co-develop a chip for specific workloads and you'll beat any standard GPU at half the price," and claimed OpenAI's Jalapeno "is already shipping and reportedly beating NVIDIA's top GPU on inference workloads at half the cost" ([Collect Cash](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOho3Xdm8OBrgPDRWYnqCh3ZYrKGtCScmF1R-2B5MF2WY8AawsvCoF7tfuiXuHR1qDdFg3YC4pwp75N8y3FzHP-2BELWNNxd2G6dnIvHvJ6zV73McQ-3D-3DYn3D_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FFPCrkhZtuGAtaH97H2B5wxlvoDKi0xtpN6MiWAhu1MM6pyQLuSkfeus09oodPkFmT-2F2Hlml-2BcfifzSEwjO1pm33VvLIm-2BMPjt1hxB6CcvjIiL5mxNh6Y00R2ZcNjO57Nw-3D-3D)). No source was given for that claim, so treat it as unverified.
- **The skeptic's line on Nvidia.** On **Motley Fool Hidden Gems**, Lou Whiteman: "Google, Amazon, Microsoft, Meta, OpenAI, they're all at least trying to make their own chips. No one is going to stop doing business with NVIDIA, but... that is going to put a cap maybe on upside growth" ([Motley Fool Hidden Gems](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhCfQy3A-2BCdW-2Fq9-2F-2FeFPgIsX-2FOnwrhKS1snt8hJLUGI-2F9zpbN5GDx9lgjQP5VHhH0-2FAgEErQweCheozVLy2VjPLFH6G3NdNSaTuqLXstY2kEw-3D-3DlbX6_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FNLcuklKHgFmCF4gIoCNDWEJgS9dxJx8oWiZB9e8ySFoI9zTKEMI-2BXJBlyxFmwEq6mZ-2BVKtMzv-2BaqLGMCtMJp-2Fp3ck0Gz4k-2FANh2qFGcUat7-2F1sW-2BPmll-2Bj7ZwP4Ry36FQ-3D-3D)).

## The debate

**The question:** do hyperscaler custom chips take lasting market share and cap Nvidia's market and margins, or do CUDA, full-system engineering and Nvidia's pace of innovation keep general-purpose GPUs on top?

**The case for custom chips.** Even this week's skeptics conceded the basic economics. Hock Tan's pitch, as relayed, is "half the price." Koduri says GPUs take "$45 billion" of every ~$55 billion gigawatt, a cost line every buyer has a reason to attack. Goodwin, an insider, says the in-house chips at Google, Meta, Microsoft and OpenAI are all real, all built by a handful of ASIC houses, and all aimed at cutting what they pay Nvidia. Anthropic's S-1 reportedly lays out hundreds of billions in commitments, with Broadcom and Google's TPUs taking a large share. And the next performance gains may come from memory and packaging rather than the newest manufacturing process, ground where Nvidia's lead is thinner. If custom chips only need to be "good enough" to win bargaining power, they don't have to beat Rubin; they just have to exist.

**The case for Nvidia.** This week was mostly theirs. Vera Rubin is running a paying customer. OpenAI, which has its own Broadcom chip *and* a Cerebras relationship, put its newest model on Nvidia GPUs. Three-year-old Hopper chips rent for more than they did new. Lenders treat GPUs like "Rodeo Drive" and custom chips like a side street, and the Broadcom-Anthropic deal, where Broadcom reportedly carries most of the loss and the fallback is reselling TPUs, is a live example of that. Nvidia keeps adding layers (CPUs, networking, security chips) that a single custom accelerator doesn't replace. And Nvidia has the cash to buy back $150 billion of stock while still financing its ecosystem.

**The new angle this week** is that both sides now finance their customers. The "circular financing" critique was Nvidia's problem. Now Broadcom is lending tens of billions to Anthropic, its biggest new customer. The difference: Nvidia's money is spread across many customers and backs a chip anyone can rent. Broadcom's is concentrated in one lab and backs chips that are harder to resell. Custom chips win on price per unit of compute. Nvidia wins on how easily its chips can be financed.

**Where I come out this week:** custom chips are clearly capping what hyperscalers pay Nvidia, but this week showed the custom-chip ramp is being financed on the chipmaker's own balance sheet, so I'd keep Nvidia as the core holding and treat Broadcom's Anthropic ramp as a credit question as much as a growth story until the S-1 numbers are reconciled.

## Stocks in play

Every ticker with new podcast commentary this week. Most of this is analyst opinion rather than company disclosure, and the filing-based figures are relayed second-hand.

**AVGO (Broadcom).**
- *Bull:* Anthropic and OpenAI ramps underway; Collect Cash relays AI chip revenue up 221% to $16.7B last quarter, with guidance of $58B this fiscal year, $115B in 2027 and $230B in 2028; an insider (Goodwin) calls Broadcom the largest of the ASIC houses with the analog and layout know-how that keeps customers locked in ([No Priors](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOj-2FEVmnRbNzbX4ortyhu-2FEOBo0E17asWDekGjKnIuMfwZPVpWKXcqkOe-2B6iqKyZxQmGjoHqrXCogSYpNWLBvsp5ev9RF2JcGkQ1Qv68B5QN8A-3D-3Dnk73_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FAA59sVpSmZDyQq4BKs-2F3cPTbh8QtmPp-2B7fkcuupciMT3b20wa92l-2Bleg-2BtjvRQ5flcr4rqtEpZaeVnW-2F8J-2BqkTY347Uf3DcFf1-2Fed21-2FEv89wxSLG8n6xw-2FD0TVYgoQkg-3D-3D), [Collect Cash](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOho3Xdm8OBrgPDRWYnqCh3ZYrKGtCScmF1R-2B5MF2WY8AawsvCoF7tfuiXuHR1qDdFg3YC4pwp75N8y3FzHP-2BELWNNxd2G6dnIvHvJ6zV73McQ-3D-3DQwgs_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGopfNTmn8VTXjFDgJVRdRnZl9leqcOXdLO-2FoOPYuFVdAjiYqhmVkD1PpUY0bXVbUZYVQSXTvvdGaw61kQ74Sya7MxZ1BP4HXOaepD-2B0Uz8qGJYVEEJSfVXOejAwu5aSFg-3D-3D)).
- *Bear:* up to $42B of lending to Anthropic; a reported $35B structure where Anthropic owes only $5B in insolvency; ~45% of revenue from five customers; the fallback is reselling TPUs, which Nvidia bulls say is hard ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3DH91n_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FIuOnYEIiDI6RIgkQQNGayfF6rkr2cTGYqHRhCTBJJ9Out-2FZyvsMPGCLKnfvsfQAbDIctqg1dVF5YTsPJ4gVcKS6Y8nqmwgvWVYJHTiLvpHICMPrkpTSNdNHHAZI5K95iQ-3D-3D), [Monetary Matters, Ed Zitron](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOiF7Ewy2QArPyMKuALtwOM0dYCH6EiSjpsTGJmRqq0JP2DPtM3-2FhjtOTVSbDzQacBZxRG2b5QKu8FYb0nFgTtLV-2FnrXeLoLebyrE-2B0Iw72txg-3D-3DWcF1_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FL789beezaZ3NZ-2BGTTvdunmZt-2BOgTYW2TVfMF-2BJ17rpR60IdpM4yVX-2B4teaX7dqCdAET0gnOBP0K8IA-2Bd37h-2B-2BY3WR2AJA4WgDh3bbfvuOH5AuJUkhCQFL8Ehxy57C0LIw-3D-3D)).
- *Watch:* Broadcom's disclosure of guarantees and customer financing in its fiscal Q4 report and 10-K (fiscal year ends early November); how the S-1's Broadcom lease figures reconcile.

**NVDA (Nvidia).**
- *Bull:* $150B buyback addition; first Vera Rubin customer in production at CoreWeave; GPT-6.1 reportedly on Nvidia, not Cerebras; Hopper rental prices above launch levels; ~24x forward earnings; Morgan Stanley top pick with a $300 target ([Squawk on the Street, 9/30](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg0BYxiaoe9xk8vaxXilumO7CouI-2BDg7lNGQYRPZF2NiV-2BCaOtEGYbqBeEVI6ZOGLptzDlXvzbjIri84i-2FbvhMfqfc8J2fclq-2BSy-2Ffd55oohg-3D-3DXrWt_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FH9wfc25kt86c1YzvP-2BBcR3DAcQE2ftr4bOl1MFW6efyUiWAw1Sykw5TgZUZyYCWLE1P1dma-2BrzNZRvn4MeTtwzIuKafh9H-2FOPP9bwJ6NatKXCfp2UfifwWmAY3kzHnPqQ-3D-3D), [20VC](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhn8UNSIzkhCNbRHnr09sQ0VgHkUOj3n8-2Bn-2BD-2FLplDlrNz7n4llUGsYcLGGeQqmYmVFVatBayScnT29Udl3n4eSEB8zli43Mq56Npg32fQLJA-3D-3DEM17_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FNgg8FVcShXjg6WRih88hReJrfSc6ppls7R0VS0SqIp2bGx6h2oq6q95fE0GMsFYXSigB-2FOKf-2BAkM-2FKKja3zOjekyW-2FkbS7N8mYhunPOJbBcUykAcxhuOq5MSMVyl2oAHQ-3D-3D), [Schwab Network](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhx0C-2B1uyUj0osrvDodpDH1olKMstUBK6k-2F6vb6U4bi8Ha-2B8HAXz-2BnPxe7icIw1V8bL-2B83h-2BSebpWlhpY9kOiHa-2FIA1MnruV7PlbTM2NUV6qA-3D-3DVPvC_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FNF-2BFBs5XjNlRTVZ03nGpW71YK8v7vQHuW-2Flns9ahTW8mjjHmvFZVojYi0iD27rp1Lq4gDPi16mZwgE-2FX9buseGqEvAE7zekn4mCbgaHw8dCDyYmUJNplkyzQL1MmFDXpQ-3D-3D)).
- *Bear:* insiders say custom chips exist to cut Nvidia's prices; TrendForce shows GPUs "balanced" while every other chip category is tight; Koduri's China cost target of under $10B per gigawatt; heavy customer concentration ([No Priors](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOj-2FEVmnRbNzbX4ortyhu-2FEOBo0E17asWDekGjKnIuMfwZPVpWKXcqkOe-2B6iqKyZxQmGjoHqrXCogSYpNWLBvsp5ev9RF2JcGkQ1Qv68B5QN8A-3D-3DO1M0_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FO9VrD6PSWXf3vt-2FNzn1n67QkPLMkNYroWsrKQ8tPMKIugyD9k-2F2X3JMeLysLUY37n1Dljr1KoJylIDksKmzSK3xBPOtnA1BeTmXX4NptjxR-2BB0lTosVAjuM16acMxTKHQ-3D-3D), [TechSurge](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOgo3eTi7p9XC-2FgAh9i1BXN49rcnQT5Gk3Xl0d-2BfqjbiHPe9dhQArPMHGznCy1NVyv1g4ASso7KAf2DvoDssmfALllbVBIG1Rj2lvsg2OjmLSw-3D-3DVula_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FCd5u7-2BLu-2BEXu4z2ko6AT-2FB-2Fs9M861lcK9aU-2BDkx3-2BfoTHax42MzPvgBFzTjnwszHlvweGkLxhwuw95uqdkYfwsBQfwpFvVpoDD04hJ0zgdBNAJqN68vhYNmuj1b-2FA-2B79g-3D-3D)).
- *Watch:* whether the stock clears its April high of ~$235 (per Josh Brown); Rubin customer adds; any confirmation of the Tesla/SpaceX "exclusive" claim.

**GOOGL (Alphabet).**
- *Bull:* TPUs are central to Anthropic's commitments; TPUs probably sit on a "better street" than startup chips because Google can always use them itself.
- *Bear:* Zitron describes two layers of Anthropic exposure, Broadcom-built TPUs in Google data centers rented back to Anthropic, plus Google's own TPU purchases to serve Anthropic ([Monetary Matters, Ed Zitron](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOiF7Ewy2QArPyMKuALtwOM0dYCH6EiSjpsTGJmRqq0JP2DPtM3-2FhjtOTVSbDzQacBZxRG2b5QKu8FYb0nFgTtLV-2FnrXeLoLebyrE-2B0Iw72txg-3D-3DH09d_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FJe9spriUkIWp13lMngYmfYOaUAUeA75EtP4Qg5piUotcwY9-2FRXaEvN8c7JrXIyvcKIHxbnqd-2BWJs9kptw7jqldymNicnK26iL48-2BKPXi0R3Ym6jZvUGs64qtiKYyvM4gQ-3D-3D)).
- *Watch:* Google Cloud backlog at Q3 earnings, and how much of it is Anthropic.

**AMZN (Amazon).**
- *Bear:* Pouladian says Trainium "fell behind," cites past "outages" training Claude, and doubts Anthropic's S-1 commitments go mainly to Trainium ([Monetary Matters, Ben Pouladian](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOh-2ByHvp-2FifJ6gWty-2FKFD7cwWklbM48wD33nXsNoQxf-2Bd-2BBC02jRXA3bal3BcoNyvDMnjjmVsHNv4DQxgEIKpeA-2FGSXZRmFdf2xB41ZHWUGpPQ-3D-3D0WUA_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FAXJQVpDBYm0-2FQCZf4FGfn-2B-2BhQLo4AW4UeuJ4k1tp-2BFzr7eBdIdPgrAO23w6TkCvKa0ShhUqabXslexrfk4-2FGXTLasuEVR8qI9EXdZ19nJxm6dDOkpyc2OSwzNz3Uvf9qg-3D-3D)).
- *Watch:* Trainium 3 and Project Rainier commentary at Q3 earnings.

**META, MSFT.** MTIA and Maia were named by Goodwin as examples of "architecturally quite similar" in-house chips, and by Pouladian as reasons hyperscalers won't buy AMD for inference. No deployment or roadmap detail. *Watch:* MTIA and Maia commentary at late-October earnings.

**AMD.**
- *Bull:* host Jack Farley noted AMD has outperformed Nvidia year to date; Ives says AMD is "just starting"; World Labs deal adds AI talent.
- *Bear:* "squeezed in the middle"; Helios rack "twice the size of a Blackwell system," ~8 tons, with reported possible delays (hearsay); excluded from Nvidia's agent sandbox ([Monetary Matters, Ben Pouladian](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOh-2ByHvp-2FifJ6gWty-2FKFD7cwWklbM48wD33nXsNoQxf-2Bd-2BBC02jRXA3bal3BcoNyvDMnjjmVsHNv4DQxgEIKpeA-2FGSXZRmFdf2xB41ZHWUGpPQ-3D-3DIcWj_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FJHML92kFZW4QSTUdgl66CLL34yhG8zU6q3sfCd7l-2Bj0y1PKQGLFltEl1aaqlm4Y4PSqY5-2B5nhQdWrhMhAUytV06YqtyvOIzcNhJ-2FYgNg-2FBDyIGDGkjhvhfH2gsDXNI3QQ-3D-3D)).
- *Watch:* Helios ramp timing; management guided to end of this year into early next.

**MU (Micron) / SK Hynix / Samsung.**
- *Bull:* 87% gross margin beat; ~86% guide; take-or-pay contracts to 2031; meaningful new supply not until 2028-29 ([Bloomberg Intelligence](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhnjF3GvHzXEz-2BlOnolJy-2FKvsEVUqNTj4lT7pl2E9rJSzhJsY0-2Bwl4wGYNzZzNPmmfQfNSXzHFPGM2JJuRhwxMn2pDYgrhh1ucQaZNMyD3Upw-3D-3D3Tm8_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FElk8cCviFlhXJJf9k8bZmCRcMWZQ3BTib3IfxHFf8XJ4HfzlHQhiztcQFbWJyKeYt5wSaK2qE0GS7G2lmQ31F89bZiLJjihVzmI0zv3PxKvRpRUHcP9dAClu-2FePlZU4rA-3D-3D), [Squawk on the Street, 10/1](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjZT6oUvOekMr-2BVTaLcYclmCE2qMjeOz74ry4mmfYX4Gz-2Bzn-2B2cCXjkb8Fqhq-2BuiGuIUP7DMRwZ31DQ43owfIjkk0kWlEz4nCpAY4SzZLwesQ-3D-3DWYuQ_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FBhvtszuDZfKB0CX2NbMqtQ-2FUNO-2FztlAZwv6Ayp9Fnzc8rssgnypGRNdGFtQYmVSVcaOG-2BdjYQ8FKcBOanmK1Un9x0YJa29SCH8t6Du6CksVx7rEgGnRD7sAIGnFCmCxZA-3D-3D)).
- *Bear:* Bloomberg's episode title flags pay raises crimping margins; $250B of capex is a big commitment if demand turns.
- *Watch:* whether the guide holds into the December quarter.

**CRWV (CoreWeave).**
- *Bull:* first Vera Rubin production customer; "absolutely not been any reduction in orders"; margins expanding faster than rates.
- *Bear:* rate-sensitive, debt-funded model.
- *Watch:* Rubin capacity additions and financing costs.

**CSCO (Cisco) / ANET (Arista).**
- *Bull (Cisco):* Silicon One driving hyperscaler business that's "almost doubling in FY27"; total FY27 revenue growth guided to 15% at the midpoint ([The Real Eisman Playbook](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOjt7AeaTJcte0yLTgT3pRq5m-2FP-2BLZdeaZpcDo3VyGVk-2BSuGofBHl2zI0FHMk2e3QDpecIesZ3VBR0ZAmMb9dlxqnKuB8zQ29w5pxXxGoLX8ZQ-3D-3DpyDr_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FH-2BfJ-2FaTxSRZb1rEDm8AZlHepBXUowhXmfCFxDuZOmxi5fk3w58y7FyWukSAOCXw-2FNWjN44ObwAqo9224ENj8-2FG8L59ukprpPP-2B7qHlficGYyscreX7RpzthhEiPoWhSsg-3D-3D)).
- *Bear (Cisco):* hyperscalers still under 20% of revenue. Arista grows faster because it's more concentrated in hyperscalers.
- *Watch:* Silicon One share gains against Broadcom-based switches.

## Read-throughs

- **Custom-chip IP (Arm).** The CPU theme is the read-through this week. If agents push the ratio toward several CPUs per GPU, as Cramer floated and CoreWeave's CEO broadly backed, the beneficiaries include Nvidia's own Arm-based CPU and the Arm-based CPUs inside hyperscaler racks (Google Axion, AWS Graviton) ([Squawk on the Street, 9/30](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOg0BYxiaoe9xk8vaxXilumO7CouI-2BDg7lNGQYRPZF2NiV-2BCaOtEGYbqBeEVI6ZOGLptzDlXvzbjIri84i-2FbvhMfqfc8J2fclq-2BSy-2Ffd55oohg-3D-3Dg-jV_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FB88jC1M473CCzdB89drB9O93cv5rxc-2FLJ2-2BKzI84yQJRZhri4RrBdxd8X-2B3xHqI56LC23LqlKiky9hZWdI5V8970Ck5AeSJupD8eeisOL80Er7PGTOfmUegcbpjjtVmjw-3D-3D)).
- **Connectivity (Broadcom, Marvell, Astera Labs, Cisco).** Goodwin called Broadcom's "analog IP that is used for chip to chip connectivity" central to its ASIC value. That's the same skill set behind its networking chips ([No Priors](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOj-2FEVmnRbNzbX4ortyhu-2FEOBo0E17asWDekGjKnIuMfwZPVpWKXcqkOe-2B6iqKyZxQmGjoHqrXCogSYpNWLBvsp5ev9RF2JcGkQ1Qv68B5QN8A-3D-3DqioX_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FGQSmwkwrWCGU-2F4HD8qozB7qWn6x68pjN8fu2Tdb8a4NDKBglb2mBIOaSmBOWIVEQ9V2qbHxGpob-2BohqXzvsAlsWPvD1Fn3cTuwIEdz4eqUhwTNexEA6xo4KzQyTZmHPvw-3D-3D)). Cisco's Silicon One gains are a modest competitive watch item for Broadcom's switch business.
- **ASIC design services (Alchip, MediaTek, GUC).** Goodwin's framing, many in-house chips, "a relatively small number of... ASIC houses," is supportive. If custom chips are mainly bargaining power, the design houses get paid whichever chip wins. Koduri pitching Oxmiq as "a broadcom for NeoCloud" suggests the model is spreading beyond hyperscalers ([TechSurge](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOgo3eTi7p9XC-2FgAh9i1BXN49rcnQT5Gk3Xl0d-2BfqjbiHPe9dhQArPMHGznCy1NVyv1g4ASso7KAf2DvoDssmfALllbVBIG1Rj2lvsg2OjmLSw-3D-3D6aBr_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FCoEwJdf-2FaTrq-2BMbOlbh-2B9A61yfAFk90ORA5GAIRMpJAy-2BEWfEnzwO5zbrafU1o6X4mhko1MobAFzkrW4iqLhkNwniuy0iVBu9bmiJ4AX21KdYnVKxn3hqI6JqRkrNOEYg-3D-3D)).
- **Advanced packaging and TSMC.** Two operators argued that packaging, not process node, is where inference gains come from: Koduri ("You need advanced packaging... a new package is... literally three months") and Goodwin ("the same advanced packaging with TSMC" across every chip). Bloomberg Intelligence highlighted Nvidia's "wafer commitments from TSMC" as an edge.
- **HBM / memory (SK Hynix, Micron, Samsung).** Micron's beat, take-or-pay contracts to 2031 and no meaningful new fabs before 2028-29 make memory the scarcest input for both GPUs and custom chips. Koduri's ~15 DRAM wafers per logic wafer in an NVL72 rack shows how memory-heavy these systems are, and why he expects more SRAM in future designs, a long-term risk to HBM content.
- **Power and data center infrastructure.** Cisco's rack roadmap (150-650 kW, heading to megawatts) and Crusoe's 28-week in-house electrical manufacturing versus a "100 week external lead time" point to power gear as another bottleneck ([20VC](http://url7324.matterfact.com/ls/click?upn=u001.idHmPrr2Geh7KYLAsTy7NkrIVb-2FgA4pmf2rMXQwGcOhn8UNSIzkhCNbRHnr09sQ0VgHkUOj3n8-2Bn-2BD-2FLplDlrNz7n4llUGsYcLGGeQqmYmVFVatBayScnT29Udl3n4eSEB8zli43Mq56Npg32fQLJA-3D-3DNy68_7mLGwmUci-2BLaXswv9WX1yTgqn3Wad-2FotHhzHgSNAZbU3NlWshjzJHWrN7dC8sRGuB3hHm-2BS-2BEqCwdbEuDuDg-2FLPNhiBXJSt6elpqAdmhWIQ0XwzvXZW-2FnNr-2BWeN9SBmfAFInZIzO6rMA1C-2Fus-2BlHwQkmFZCA7yb9neJgewCiioNqs9jenOBveGSxbAqr-2BmfJdseMRIc51pF2fffLcKlpwg-3D-3D)).

## What changed vs last week

1. **From "Anthropic becomes Broadcom's biggest customer" to "Broadcom is financing Anthropic."** Last week: Morningstar said Anthropic would pass Google as Broadcom's largest customer in 2027, at ~$60B. This week: reports of up to $42B in Broadcom lending to Anthropic, and a $35B structure with only a $5B Anthropic backstop. The growth story now comes with credit risk attached.
2. **Broadcom's guidance figures don't quite match.** Last week Morningstar relayed ~$120B of AI revenue in FY27 and ~$240B in FY28. This week Collect Cash cited $58B this year, $115B in 2027 and $230B in 2028. Close, but not the same; check the FQ3 transcript before using either.
3. **The "circular financing" critique moved across the aisle.** Last week it was aimed at Nvidia (the RiskReversal "70 cents" critique). This week Bloomberg put Broadcom's Anthropic loan in the same bucket.
4. **Anthropic's S-1 replaced estimates with a filing, but podcasts disagree on the totals.** Last week, Investing Experts put combined Anthropic and OpenAI chip commitments at "north of 1.2 trillion" through 2030. This week, Anthropic-only figures ranged from $252B (non-cancellable) to $500B+ (total).
5. **Nvidia's "flat for six months" stock is now a breakout debate.** Last week RiskReversal noted Nvidia "trading exactly where it was six months ago." This week: a $150B buyback addition, a Morgan Stanley top pick, and talk of a break above the April high.
6. **Vera Rubin went from "cluster announced" to "customer in production."** Last week CoreWeave described a Rubin cluster. This week its CEO named Cognition as the first production customer worldwide.
7. **The depreciation debate moved further toward the bulls.** Last week: chips in use 6-9 years. This week: Crusoe's CEO says three-year-old Hopper rentals cost more than new ones did in 2023.
8. **Micron's results came in ahead of last week's preview.** Last week: a guided 86% gross margin and a "shortage to a glut" warning. This week: 87% actual, ~86% guide, contracts to 2031, new supply not until 2028-29. The glut call looks early.
9. **The Hugging Face story is still unconfirmed.** Last week, The Wall Street Skinny discussed Nvidia "buying Hugging Face." This week the Hugging Face references were to a security "incident" that prompted Nvidia's agent-safety tools. No podcast confirmed an acquisition. Treat last week's item as unverified.

---

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