Anthropic in Talks With Samsung to Build a Custom 2nm AI Chip

Anthropic has opened early discussions with Samsung Electronics about manufacturing a custom AI chip, according to reporting from The Information that surfaced on July 2 and has since been corroborated by several other outlets. The talks are still at a conceptual stage — Anthropic hasn't settled on what the chip would actually do, how it would slot into a server rack, or how powerful it needs to be. But the direction of travel is clear: the company behind Claude wants a card, however small at first, in a compute game currently dominated by Nvidia.

What's Actually Being Discussed

Reporting points to Samsung's upcoming 2-nanometer process, internally known as SF2P, as the likely manufacturing node — a step up from the 4-nanometer node Samsung already uses for other AI customers. The 2nm generation relies on gate-all-around transistors, which wrap the gate around all four sides of the channel instead of three, a structural change from the FinFET design used in the previous generation. In practice that translates into either meaningfully better performance at the same power draw, or similar performance at meaningfully lower power — the kind of efficiency gain that matters enormously when a chip's entire job is running millions of Claude inference requests a day. Samsung's appeal isn't limited to the fab itself: the company also produces its own high-bandwidth memory, meaning a single partner could in theory supply both the logic die and the memory stacked around it, rather than Anthropic having to coordinate two separate suppliers for compute and memory.

Why Now: A Chip Engineer and a Rival's Head Start

The timing lines up with two events. In early June, Anthropic hired Clive Chan, one of the first engineers on OpenAI's custom silicon team and a contributor to Jalapeño, the inference chip OpenAI built with Broadcom and unveiled on June 24. Early tests of Jalapeño reportedly showed roughly 50% lower inference costs than standard GPU-based serving — a number large enough to make every other frontier lab pay attention. Anthropic's own relationship with Samsung already runs deeper than a cold pitch: Samsung, alongside SK Hynix and Micron, took part in Anthropic's Series H funding round in May, a raise that reportedly pushed Anthropic's valuation toward the $1 trillion mark. That existing financial relationship likely made the chip conversation easier to start.

Samsung's Bigger Play — And Meta's, Too

Anthropic isn't the only AI lab Samsung is courting for 2nm business. The same reporting cycle described Samsung in parallel talks with Meta over its next-generation MTIA accelerator — a contract reportedly worth well over $6 billion that could mark a shift away from Meta's earlier chips, which were built by Taiwan's TSMC. Google is reportedly evaluating Samsung for part of a future Tensor Processing Unit run as well. For Samsung, landing even one marquee AI lab as a logic customer would be a meaningful proof point after years of trailing TSMC on advanced-node yields; landing several would start to look like a genuine shift in where the industry sends its most important orders. None of this threatens Nvidia's position overnight — independent estimates still put Nvidia's share of the AI chip market at around 74%, arguably higher than before this custom-silicon wave began — but it does add one more name to a growing list of labs and hyperscalers building an alternative rather than only renting one.

The Real Prize Isn't the Chip

It's worth being honest about how early this is: Anthropic has said publicly only that its existing partners — including Amazon, Google and Nvidia — remain central to how it runs Claude today, and the company may ultimately decide the economics of building its own silicon aren't worth it. But even an unfinished chip program can be useful. Any AI lab currently negotiating compute allocation with Nvidia has a stronger hand at the table if it also has a credible, funded alternative in development, whether or not that alternative ever ships at scale. Anthropic is also reportedly exploring options with Microsoft's Maia chips and UK inference startup Fractile, which suggests this is a deliberate multi-vendor hedge rather than a single bet placed on Samsung. The supplier that ends up mattering most here may not be the one whose name goes on the finished chip — it may simply be whichever one gives Anthropic the most leverage over its own cost curve.

Sources: The Information — Anthropic in Talks With Samsung on Custom AI Chip (Jul 2, 2026) · TechCrunch — Anthropic discussing a new custom chip with Samsung
Reporting only; not investment advice.