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Exclusive Content Why Meta's AI Chip Announcement Has Broadcom Investors Paying AttentionReported by Leo Miller. Article Posted: 3/18/2026. 
Key Points - Meta publicly confirmed Broadcom as its custom chip partner for the first time, removing lingering doubts about one of Broadcom's most important AI relationships.
- The MTIA chip roadmap is expanding from ranking and recommendation into generative AI inference—a workload many expect to dominate AI compute by decade's end.
- One notable gap in Meta's announcement: no generative AI training chip, lending weight to reports that its most ambitious custom silicon project has been shelved for now.
- Special Report: Elon Musk's $1 Quadrillion AI IPO
In a recent announcement, the Magnificent Seven tech giant Meta Platforms (NASDAQ: META) unveiled four customized artificial intelligence (AI) chips. The news follows semiconductor design behemoth Broadcom's (NASDAQ: AVGO) earnings report, where CEO Hock Tan explicitly addressed Meta. Meta's announcement effectively acknowledges the partnership with Broadcom and has clear positive implications for AVGO, though there are also some negatives to consider. What does this mean for Broadcom going forward? META and AVGO Confirm MTIA Partnership Your portfolio may look stable right now, but Weiss Ratings is warning that a wealth-destroying event is already unfolding, and most investors are completely unprepared. If your retirement depends on an IRA, 401(k), or blue-chip stocks, the stakes are too high to ignore. Millions were blindsided the first time this happened. Find out what the mainstream media is missing and the exact steps you should take to protect yourself now. See the full warning Market watchers long suspected Meta was a buyer of Broadcom's custom AI processors, but Broadcom had not explicitly named Meta on earnings calls until now. On Broadcom's Q1 2026 call, Tan said, "Contrary to recent analyst reports, Meta's custom accelerator MTIA road map is alive and well. We're shipping now." MTIA, which stands for Meta Training and Inference Accelerator, is a family of chips developed in partnership with Broadcom. Tan's comment followed reports that Meta had halted development of its most advanced custom training chip, codenamed Olympus. Meta explicitly named Broadcom in its press release: "Meta Training and Inference Accelerator (MTIA), our family of homegrown AI chips developed in close partnership with Broadcom, has remained and will continue to be an important part of Meta's AI infrastructure strategy." While the market largely expected this partnership, mutual acknowledgment removes any remaining doubt. The Good: META-AVGO Partnership Expands Into GenAI The title of Meta's post, "Four MTIA Chips in Two Years: Scaling AI Experiences for Billions," directly supports the bullish scenario Broadcom described on its call. Hock Tan noted many customers are developing two custom chips with Broadcom per year—the same pace Meta outlined—lending credibility to Broadcom's claims and suggesting deeper customer relationships. Meta is deploying MTIA for a range of workloads, including training and inference on its ranking and recommendation (R&R) models. Training refers to building more capable models; inference is the deployment of those models to answer queries and perform tasks. R&R training and inference help Meta deliver more engaging content and better-targeted ads across its apps, which together reach roughly 3.5 billion users—more than 40% of the world's population—creating substantial demand for custom silicon. The MTIA series also extends beyond R&R. Meta plans to use MTIA 450 and MTIA 500 for GenAI inference, with mass deployments expected in 2027. GenAI inference likely covers chatbot queries, image and video generation, and AI business agents in WhatsApp. While Meta's LLaMa models aren't considered state-of-the-art compared with ChatGPT, Claude, or Gemini, they remain useful and monetizable—Meta AI already has over 1 billion users. For Broadcom, MTIA's expansion into GenAI inference is a positive development: supporting both core and emerging workloads logically leads to more chip sales. The Bad: META-AVGO GenAI Training Chip Takes a Back Seat Meta's announcement did not include a GenAI training chip, reinforcing reports that Olympus development has been scaled back. Meta's CFO Susan Li recently told attendees at the Morgan Stanley Technology Conference that Meta "expects" and is "hopeful" it can expand custom silicon for training "eventually." This is a headwind for Broadcom, which likely would have been co-developing Olympus. It's encouraging that Meta hasn't abandoned its training ambitions entirely, but the timeline for Broadcom to realize significant revenue from a GenAI training chip may have lengthened. AVGO and META: Powering the Growth in AI Inference Overall, Meta's relationship with Broadcom is now fully substantiated and appears to be broadening outside of GenAI training. That matters because many expect inference to overtake training as the dominant AI workload in coming years. McKinsey predicts inference will grow at a compound annual rate of about 35% over the next five years and account for more than half of AI compute by 2030. That outlook supports Broadcom's strategy: as Meta deepens its use of MTIA—especially for inference—Broadcom stands to benefit from increased demand for custom accelerators. | 
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