After Tesla, Samsung Eyes Meta Platforms for $6.5 Billion AI Chip Agreement: Report – Tesla (NASDAQ:TSLA)
Samsung is reportedly courting Meta Platforms for an AI chip agreement valued at roughly $6.5 billion, following earlier engagements tied to Tesla, according to Korean media reports. The Seoul Economic Daily says Samsung Foundry is poised to take on production of Meta’s in-house AI accelerator, the Meta Training and Inference Accelerator (MTIA), beginning with its third generation on Samsung’s cutting-edge 2-nanometer process.
Samsung Foundry to Build Meta’s MTIA Gen-3 on 2nm
Per the Seoul Economic Daily, Meta’s third-generation MTIA is expected to enter mass production at Samsung Foundry using the company’s advanced 2nm node. While specifics such as volumes and timelines were not disclosed, the move would mark a significant win for Samsung’s foundry business as hyperscalers increasingly invest in custom silicon to power AI training and inference at scale.
What Is MTIA and Why It Matters
MTIA is Meta’s proprietary accelerator tailored for AI workloads across its platforms, from recommendation engines to emerging generative AI features. By designing chips in-house, Meta aims to optimize performance per watt, reduce costs, and lessen reliance on third-party silicon—particularly GPUs—while improving control over its infrastructure roadmap. A third-generation MTIA manufactured on a leading-edge node would signal a step-change in efficiency and compute density, crucial for handling ever-larger models and data throughput.
Why 2nm Is a Big Deal for AI
Moving to a 2nm manufacturing process generally delivers higher transistor density and better performance at lower power compared with prior nodes. For AI accelerators, that translates into more compute in the same footprint, improved performance-per-watt, and potentially lower total cost of ownership in data centers. As training and inference demands surge, these gains can unlock higher throughput and more responsive AI services. If Samsung can ramp 2nm production reliably, it strengthens its position against rivals vying for AI-era foundry leadership.
Status of Talks and Industry Context
Meta, Samsung, and Anthropic did not immediately respond to requests for comment. Details of any agreement—including scope, schedule, and final value—could evolve as discussions progress. Still, the reported pursuit of a deal with Meta underscores Samsung’s broader push into AI semiconductors following high-profile collaborations in automotive and AI compute, including those linked to Tesla.
Beyond wafer fabrication, Samsung has been investing across the AI chip stack—from advanced packaging to memory—seeking to provide end-to-end solutions. That strategy aligns with hyperscaler needs, where performance, energy efficiency, and rapid scaling are top priorities. As more cloud providers and AI labs design custom chips, foundry partners capable of delivering leading-edge nodes at volume stand to capture significant share.
The Bigger Picture
The race to supply AI silicon is reshaping the semiconductor landscape. TSMC, Samsung, and Intel are competing aggressively for next-generation nodes, while tech giants increasingly build specialized accelerators to complement or partially offset GPU demand. A potential multibillion-dollar MTIA Gen-3 program at 2nm would highlight the scale of investment required to keep pace with AI workloads—and the importance of tight collaboration between chip designers and manufacturing partners.
For investors and industry watchers, confirmation of mass production plans and timelines will be key milestones. If Samsung executes smoothly on 2nm for MTIA, it could bolster the company’s credibility in AI foundry services and deepen its relationships with top-tier customers across social, automotive, and AI research.
Editor’s note: Parts of this article were assisted by AI tools and reviewed by an editor.
