Anthropic in Talks with Samsung Over Custom AI Chip, Report Says

Anthropic, the developer of the Claude family of large language models, is reportedly exploring a major hardware move. Notebookcheck reported on July 4 that the company is in talks with Samsung over a custom AI chip, signaling that Anthropic may be pursuing a dedicated silicon strategy rather than relying solely on off-the-shelf GPUs.

A custom chip partnership with Samsung would give Anthropic hardware tailored specifically to its model architectures, potentially delivering significant advantages in power efficiency and compute performance. For Anthropic, whose training and inference workloads are currently powered largely by NVIDIA GPUs, such a move represents a bid for greater hardware independence.

Samsung brings formidable capabilities to the table, spanning chip design, manufacturing via its advanced foundry processes, and its own Exynos line of processors. Partnering with a frontier AI lab like Anthropic would give Samsung a marquee AI chip client and strengthen its position in the rapidly growing AI silicon market.

Details of the talks remain scarce — no timeline, chip specifications, or commercial terms have been disclosed. However, industry observers note that a deal of this nature would accelerate the trend of deep integration between AI labs and custom chipmakers.

For Anthropic, the payoff goes beyond hardware performance. Custom chips mean greater technical autonomy, better cost control at scale, and insulation from GPU supply constraints that have bottlenecked the entire AI industry. For the broader chip market, each major AI company moving toward custom silicon chips away at NVIDIA's near-monopoly in AI training and inference.

This would not be Anthropic's first infrastructure bet. The company has raised billions in funding from investors including SoftBank, with a significant portion earmarked for compute infrastructure. A chip partnership with Samsung could be the centerpiece of that buildout.

Key things to watch: whether the talks mature into a signed deal, whether the chip targets training or inference workloads, and how deeply Samsung will be involved in the architecture design.