Anthropic and Samsung explore 2nm custom AI chip amid compute crunch

Anthropic flirting with its own custom silicon is another sign that frontier labs no longer want to live at the mercy of a few GPU vendors. If the Samsung collaboration materializes, it would give Anthropic a licensable, tightly optimized chip path similar to what Google achieved with TPU and what OpenAI is reportedly chasing with Jalapeño. That isn’t just about saving money; it’s about being able to schedule training runs, safety evaluations, and product launches on your own terms rather than fighting everyone else for H100s.

Strategically, this pushes the race to AGI deeper into the stack. The most ambitious labs are now full-stack hardware-software companies, designing models, training pipelines, and the chips they run on as one system. For Nvidia, this is a double-edged development: Anthropic still says Nvidia remains central to its roadmap, but every credible custom-chip effort is a potential future demand leak. For Samsung, the upside is obvious—moving from a follower in AI accelerators to a critical foundry partner for one of the top labs.

If Anthropic can secure reliable, cost-efficient compute through Samsung, it strengthens its hand against OpenAI, Google DeepMind, and Meta. Owning more of the hardware roadmap could translate directly into faster model iteration, more robust safety testing, and ultimately, more room to push the frontier without waiting for someone else’s supply chain to catch up.