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More Reading from MarketBeat.com Why Meta's AI Chip Announcement Has Broadcom Investors Paying AttentionSubmitted by Leo Miller. Article Published: 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's "Hidden" Company
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, during which CEO Hock Tan called out Meta by name. Meta has now publicly acknowledged the relationship with Broadcom, a development that has clear positive implications for AVGO. However, there are also potential negatives to consider. What does this mean for Broadcom going forward? META and AVGO Confirm MTIA Partnership San Francisco is the strangest city in America right now—you can hop into a self-driving car and be chauffeured by a robot, but out the window you see addicts slumped in doorways, open-air drug markets, the mentally ill screaming at the sky, and entire city blocks consumed by homeless encampments. It's ground-zero for the most disruptive technological forces of our age, and Erez lives in the Bay Area plugged into the capital, the connections, and the companies reshaping the world—the advancements in AI, blockchain, computing, and biosciences are unlike anything the world has seen before, and a tsunami of disruption is coming for everything all at once. During our most recent broadcast, we exposed what we're calling the most asymmetric opportunity of our careers: an overlooked financial company hiding a multi-billion-dollar blockchain asset Wall Street hasn't priced in—it's one of those rare situations Warren Buffett would describe as raining gold when all you have to do is step outside if you want to get rich. Watch the broadcast before the window closes now Market observers have long assumed Meta is among Broadcom's customers for custom AI processors, but Broadcom rarely named Meta explicitly on earnings calls—until now. During 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 — Meta Training and Inference Accelerator — is a family of custom chips developed in close collaboration with Broadcom. Tan's comments followed reports that Meta had halted development of its most advanced custom training chip, codenamed Olympus. Meta explicitly referenced Broadcom in its MTIA announcement: "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." Markets broadly accepted the partnership before, but the mutual, public acknowledgment now removes lingering 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. Tan noted many customers are moving to develop roughly two custom chips per year with Broadcom—the same pace Meta outlined—lending credibility to Broadcom's claims that it is deepening relationships with key customers. Meta is deploying MTIA across multiple workloads, including training and inference for its ranking and recommendation (R&R) models. Training develops more capable models; inference uses those models to answer queries and perform tasks. R&R training and inference enable Meta to deliver more engaging content and more targeted advertising to its users. Meta has about 3.5 billion users across its apps—more than 40% of the world's population—so its compute needs are massive and well-suited to Broadcom's offerings. The MTIA lineup also extends beyond R&R. Meta plans to use MTIA 450 and MTIA 500 for GenAI inference, with broad deployments expected in 2027. GenAI inference likely includes chatbot queries, image and video generation, and AI-powered business assistants in WhatsApp. While Meta's LLaMA models are not universally considered state-of-the-art compared with competitors like ChatGPT, Claude, and Gemini, they can still be useful and monetizeable. Meta AI already has over 1 billion users, creating a significant opportunity to generate revenue from those models. For Broadcom, MTIA's expansion from R&R into GenAI inference is a clear positive: supporting both established and emerging workloads should translate into more chip sales. The Bad: META-AVGO GenAI Training Chip Takes a Back Seat That said, Meta's announcement did not include a GenAI training chip, which reinforces reports that Meta has scaled back Olympus development. Meta's Chief Financial Officer, Susan Li, echoed a cautious stance at the Morgan Stanley Technology Conference, saying Meta "expects" and is "hopeful" it can expand use of custom silicon to train AI models "eventually." That pause is a potential negative for Broadcom, which would likely have co-developed Olympus with Meta. Meta hasn't abandoned its ambitions for a GenAI training chip, but its comments suggest the timeline for Broadcom to earn meaningful revenue from such a project may have lengthened. AVGO and META: Powering the Growth in AI Inference Overall, Meta's relationship with Broadcom is now clearly confirmed and appears to be expanding substantially outside of GenAI training. Importantly, many analysts expect inference to outpace training as the dominant AI workload in the 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 trend supports Broadcom's outlook: as Meta leans into inference workloads—and Broadcom supplies the silicon to run them—the partnership looks increasingly valuable for AVGO. |
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