Anthropic has entered early-stage discussions with Samsung Electronics to develop a custom AI chip, signaling a strategic shift as AI labs vie for greater control over the hardware crucial to powering advanced machine learning models. While specifics about the chip’s design, intended use, and capabilities remain undecided, this initiative reflects Anthropic’s efforts to mitigate its dependence on external suppliers and optimize performance and cost efficiency.
Currently, Anthropic relies on Nvidia GPUs, Google TPUs, and Amazon chips for training and inference tasks. However, supply shortages have exposed vulnerabilities in this model, prompting the company to consider building its own silicon to secure more reliable access to computing resources. Samsung’s advanced semiconductor manufacturing, including its cutting-edge 2-nanometer technology, presents an attractive partnership opportunity to enter custom chip production even before Anthropic finalizes the chip architecture.
This development follows a broader industry trend where leading AI firms seek to internalize hardware capabilities to strengthen their infrastructure. Notably, OpenAI recently introduced Jalapeño, its first AI accelerator developed with Broadcom, which boasts improved energy efficiency and is designed specifically for large language model inference at scale. This underscores the movement away from pure model innovation toward ownership and optimization of the supply chain — from chip design and fabrication to deployment.
Samsung stands to benefit significantly from such collaborations by expanding its foundry business and highlighting its leadership in advanced process technologies, positioning itself as a key player in the emerging AI semiconductor market. For Anthropic, partnering with Samsung could provide a scalable manufacturing route that enhances long-term competitiveness. Together, these efforts mark a critical phase in the AI race, emphasizing hardware sovereignty as a decisive factor in sustaining growth and advancing capabilities.