Anthropic Turns to Samsung to Build a Custom AI Chip of Its Own
Anthropic is in talks with Samsung to design its own AI silicon, a week after OpenAI unveiled its Broadcom chip. The compute arms race just went vertical.
The News
Anthropic is in discussions with Samsung to develop a custom artificial-intelligence chip, according to a report from The Information published on Thursday, 2 July 2026. The two sides have opened talks, but the essential details remain unsettled.
According to the reporting, Anthropic has not yet decided what the chip will be used for, how it will slot into a server, or how powerful it needs to be. In other words, this is an early-stage conversation rather than a signed deal.
Anthropic was careful to frame the move as an addition rather than a replacement. The company said a diversified hardware stack, drawing on chips from Google, Amazon and Nvidia, would remain central to its compute strategy. The Samsung talks follow April 2026 reporting from Reuters that Anthropic was weighing custom silicon to insulate itself against persistent chip shortages.
Why It Matters
The timing is the story. The Samsung discussions surface barely a week after OpenAI announced its own custom inference processor, codenamed Jalapeno, built with Broadcom. Suddenly the two best-funded model developers are both chasing bespoke silicon within days of each other.
That is not a coincidence so much as an inevitability. Training and serving frontier models on general-purpose Nvidia accelerators is ruinously expensive, and supply is rationed. Google has spent years building its Tensor Processing Units, and Amazon has pushed its Trainium line for exactly this reason. When the last major players start designing their own chips, it signals that renting compute at market rates has become a competitive liability rather than a convenience.
Samsung is an intriguing partner. It already manufactures chips for Nvidia, runs an AI-chip factory in South Korea, and has reportedly held its own conversations with Google about chip development. For Anthropic, a foundry relationship with Samsung is a hedge against being at the back of the queue at TSMC, where every AI firm on earth is currently jostling for capacity.
Indian Angle
For India, this is a reminder that the AI contest is increasingly being fought in silicon, not just software, and that is precisely the layer where India is weakest. The country consumes enormous quantities of cloud GPU capacity but designs and fabricates almost none of it. Every time a firm like Anthropic locks in bespoke supply, the effective cost and availability of general-purpose accelerators for everyone else, including Indian startups, tightens.
That pressure lands directly on India's model builders. Sarvam and Ola-backed Krutrim are training Indian-language models on rented or imported hardware, and Krutrim has already flagged ambitions to design its own AI chip, Bodhi. The Anthropic-Samsung talks show how far the frontier has moved: owning your silicon roadmap is becoming table stakes, not a moonshot.
There is a policy dimension too. The India Semiconductor Mission has backed fabrication plants such as Micron's assembly unit in Sanand and the Tata-PSMC fab in Dholera, but those target mature and legacy nodes, not the cutting-edge processes that AI accelerators demand. Watching Anthropic route around chip scarcity through Samsung underlines how much ground MeitY and Indian industry must still cover before domestic AI compute is anything close to self-reliant.
FAQ
Has Anthropic confirmed a deal with Samsung?
No. The Information reported that the two companies are in discussions. Key questions, including the chip's purpose, server integration and performance, remain undecided. This is an early-stage negotiation, not a finalised agreement or a public product announcement.
How does this compare with OpenAI's chip?
OpenAI announced a custom inference processor, codenamed Jalapeno, with Broadcom roughly a week earlier. Both firms are pursuing bespoke silicon to cut costs and reduce dependence on Nvidia, mirroring Google's TPU and Amazon's Trainium programmes.
Will Anthropic stop using Nvidia chips?
Unlikely in the near term. Anthropic said a diversified stack including Google, Amazon and Nvidia chips would stay pivotal to its strategy. Custom silicon is being positioned as a supplement to secure supply, not a wholesale replacement.
What does this mean for Indian AI startups?
Tighter access to bespoke supply raises the stakes for firms like Sarvam and Krutrim, which still rely largely on imported hardware. It strengthens the case for India to accelerate both chip design talent and advanced-node fabrication ambitions.
Where can I read the original report?
The scoop was first reported by The Information and covered by TechCrunch, linked in the source paragraph below.
This story was reported by TechCrunch. Read the full original coverage at TechCrunch.