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Samsung weighs halting OpenAI chip project after investing in rival Anthropic
Samsung has slowed work on a custom AI chip for OpenAI, with the project stalling amid its $65 billion investment in rival Anthropic. The companies aren't expected to split entirely, but competing priorities have cooled the partnership.
Samsung reconsiders AI chip project with OpenAI as Anthropic deal takes priority
Samsung is reconsidering its commitment to develop custom processors for OpenAI, with work on the project slowing significantly due to strategic differences between the partners. The South Korean tech giant has shifted focus toward other priorities, according to reports.
The collaboration began in 2024 after OpenAI CEO Sam Altman visited South Korea. Samsung started designing a specialized neural processing unit chip for inference based on ARM architecture. Development had progressed substantially until recently, when the final stages stalled.
The shift stems largely from Samsung's $65 billion investment in Anthropic, OpenAI's competitor. Anthropic, which develops the Claude language model, announced the funding round brought its valuation to $965 billion. Samsung confirmed it will supply memory, storage, and logic chips to the startup.
Samsung possesses capabilities that few investors can match. While competitors like Micron and SK Hynix focus solely on memory production, Samsung owns its own semiconductor division, Foundry, allowing it to manufacture complex graphics and logic chips independently. This advantage makes the Anthropic partnership particularly valuable.
The deal presents a conflict of interest for Samsung. Supplying chips to both OpenAI and its rival Anthropic creates competing priorities, especially when one partnership offers greater profit potential and aligns with Samsung's manufacturing strengths.
A complete breakdown between Samsung and OpenAI is not expected. The companies continue fulfilling existing contracts in related technology sectors, suggesting the relationship remains intact despite the cooling partnership on AI chips.
For development teams evaluating chip suppliers and generative AI and LLM infrastructure, this shift underscores how hardware partnerships depend on broader business strategy. Understanding AI for IT & Development requires tracking not just technical capabilities but the commercial relationships shaping chip availability.