Background
<cite index="2-1">Anthropic is reportedly in early talks with Samsung to build its own custom AI chip, as AI firms push to cut compute costs and reduce reliance on Nvidia hardware.</cite> <cite index="2-3">According to a report by *The Information*, the plans are still in their early stages but appear to focus more on cost control than on outright performance gains.</cite>
The urgency behind the move is rooted in Anthropic's ballooning infrastructure bill. <cite index="13-5">When SpaceX filed its S-1 registration document with the U.S. Securities and Exchange Commission (SEC) in mid-May, the document revealed that Anthropic has agreed to pay xAI—Elon Musk's AI company—$1.25 billion every month through May 2029 for access to the Colossus 1 data center in Memphis, Tennessee.</cite> <cite index="12-6">The deal grants Anthropic access to more than 220,000 Nvidia Graphics Processing Units (GPUs) across SpaceX's Colossus I and Colossus II data centers.</cite> <cite index="11-7">The terms of the deal allow either side to terminate the contract with 90 days' notice.</cite>
The Samsung Discussions
<cite index="6-4,6-5">The conversations are still preliminary; Anthropic has not decided what the chip will do, how it will fit into a server, or how powerful it needs to be.</cite> <cite index="6-30">Anthropic is specifically evaluating Samsung's two-nanometer manufacturing process and its advanced chip packaging facilities.</cite> <cite index="9-35,9-36">Samsung's 2nm process uses Gate-All-Around (GAA) nanosheet transistors, an architecture that offers significantly better power efficiency and higher performance compared to older FinFET designs.</cite>
<cite index="19-14,19-15">Anthropic's chip conversations are not primarily about training—the resource-intensive process of teaching a model on massive datasets. They are about inference: the continuous, real-time process of serving Claude's responses to millions of users per day.</cite> <cite index="19-6">OpenAI's Jalapeño inference chip, unveiled June 24, 2026, reportedly showed roughly 50% cost savings compared with standard GPU inference in early testing.</cite>
<cite index="1-7">Anthropic declined to comment on the Samsung discussions beyond a statement that "Amazon Web Services's Trainium chip, Google Tensor Processing Units and Nvidia graphic processors will remain central to how the company scales its compute strategy."</cite> <cite index="1-8">Samsung also declined to comment.</cite>
Personnel Signal
<cite index="20-2,20-3,20-4">OpenAI's second chip hire, Clive Chan, announced his move to Anthropic on June 7, 2026. Chan spent 2.4 years at OpenAI working on the company's Broadcom AI chip project, which is planned for delivery in the second half of 2026.</cite> <cite index="23-3">Several observers noted Chan's experience working on OpenAI's custom chip efforts and previously at Tesla's Dojo supercomputer project, leading to questions about whether Anthropic may deepen its investment in AI hardware and infrastructure.</cite>
Strategic and Financial Context
<cite index="31-1,31-2">Anthropic raised $65 billion in its Series H funding round, valuing the company at $965 billion post-money.</cite> <cite index="31-11,31-12">Joining the round as strategic infrastructure partners were Micron, Samsung, and SK Hynix—whose technologies play a critical role in the world's supply of memory, storage, and logic chips. As demand for Claude continues to grow, these relationships are expected to help Anthropic scale its compute reliably.</cite>
<cite index="19-9">Samsung had been developing a custom AI chip for OpenAI—an ARM-based inference neural processing unit—before those talks stalled in early June 2026 due to what Korean media described as strategic differences between the two companies.</cite> <cite index="6-31">Winning a marquee AI client would give Samsung a showcase customer as it works to close the gap with Taiwan Semiconductor Manufacturing (TSMC), the industry's dominant foundry.</cite>
<cite index="6-10,6-11,6-12">Nvidia controls about 74% of the global AI chip market, a level of concentration that gives one company outsized influence over pricing across the industry. Custom silicon, designed around a lab's own model architecture, offers one of the only ways around that dynamic.</cite>
Outlook
<cite index="2-26">Custom chips take time to design, test, manufacture, and deploy, and any Anthropic–Samsung project would still be early.</cite> <cite index="5-22">The direction of travel is nonetheless unmistakable: the biggest labs increasingly treat bespoke hardware as strategic, not optional.</cite> With a near-trillion-dollar valuation, a $1.25 billion monthly compute bill anchored in the SpaceX S-1, and a chip-design hire from OpenAI's own silicon team, Anthropic's infrastructure calculus has shifted from cost management to competitive moat.