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Meta - Broadcom push toward custom chips

by Susana SchwartzSusana Schwartz
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Meta - Broadcom push toward custom chips

Screenshot 2026-04-15 at 10.00.45 AM (1)
Yesterday’s Meta – Broadcom announcement about a multi-year, multi-GW collaboration highlights a shift toward custom-built AI accelerators (MTIA chips) that reduce reliance on general-purpose GPUs. 
 
The announcement is the latest attempt by a large Nvidia customer to reduce the “Nvidia tax” now that lead times for HBM components have grown to 3 to 7 months. Adding Meta to Broadcom’s roster (alongside Google and Anthropic) reinforces its “XPU” platform dominance for hyperscalers that increasingly seek out bespoke silicon.
 
With electricity as a primary constraint, custom silicon can be 30–40% more power-efficient than general-purpose GPUs. In use cases where a Nvidia H100 might be seen as “overkill,”  MTIA chips might deliver more performance-per-watt, and lower per-token costs, with some estimates saying custom silicon could reduce inference costs by 30–60%, compared to commercial GPU clusters.
 
As stated in RCR recently, owning your own hardware to “squeeze costs” out of internal operations makes sense, but there still has to be some dependency on Nvidia to keep flexible compute options open for third-party customers that tap Nvidia GPUs and its comprehensive ecosystems and developer environments.
 
For Broadcom, this announcement positions it as one of the primary architects of the shift toward custom AI accelerators. Analysts at J.P. Morgan estimate the first GW phase of the MTIA deployment in 2027 represents a $12–$15 billion revenue opportunity for Broadcom, including networking.
Susana 2

Susana Schwartz
Technology Editor
RCRTech

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