Anthropic has entered early-stage discussions with Samsung Electronics about manufacturing a custom AI chip, according to The Information and confirmed by TechCrunch. The chip’s specifications, power envelope, and server form factor have not been determined, placing the project in conceptual design.
The move comes one week after OpenAI announced Jalapeño, a custom inference processor co-designed with Broadcom and optimized for LLM and agent workloads.
Why Inference Hardware Matters for Agents
Agent deployments generate inference loads that differ structurally from standard chatbot interactions. A single agent task can involve dozens of sequential model calls: reasoning steps, tool use decisions, code generation, and output verification. Each call adds latency and cost. Custom silicon optimized for these patterns can reduce both, making complex multi-step agent workflows economically viable at scale.
OpenAI’s Jalapeño targets exactly this workload profile, claiming better performance-per-watt than competing chips. Anthropic’s chip initiative, while far earlier in development, signals that the company sees the same bottleneck.
Samsung’s Position in the AI Chip Stack
Samsung already manufactures chips for Nvidia and has discussed partnering with Google on its TPU fabrication, according to Korea JoongAng Daily. The company operates an AI chip factory joint venture with Nvidia in South Korea.
For Anthropic, Samsung offers fabrication capacity outside of TSMC, which is nearing capacity limits. Diversifying the manufacturing partner away from a single foundry reduces supply chain risk.
Vertical Integration Accelerates
Anthropic told TechCrunch that “a diversified hardware stack that includes chips from Google, Amazon, and Nvidia will continue to be pivotal to its compute strategy,” and declined to comment further on the Samsung discussions.
The context: Reuters reported in April that Anthropic was exploring custom chip production as a response to chip shortages. The Samsung talks indicate that exploration has progressed to active partner discussions.
Both Amazon and Google already offer custom-built chips (Trainium and TPUs respectively) as part of their cloud offerings. Anthropic and OpenAI are now following the same trajectory, moving from pure software companies toward vertically integrated inference infrastructure providers. For teams building on Claude or GPT APIs, the downstream effect is lower inference costs and faster response times for agent orchestration workflows.