Micron, Anthropic Sign AI Infrastructure Supply Agreement
- •Micron Technology signed a supply agreement with Anthropic to provide memory and storage for AI data centers.
- •Micron joined Anthropic's Series H funding round, which valued the AI firm at $965 billion after raising $65 billion.
- •Anthropic is using Micron’s memory systems to improve the efficiency of training and serving its Claude model family.
Micron Technology entered a strategic agreement with Anthropic on June 22, 2026, to supply memory and storage hardware while participating in the company's Series H funding round. This deal aims to support the escalating demand for high-bandwidth components necessary for scaling data center operations. According to Tom Brown, Anthropic's co-founder and chief compute officer, the company’s compute strategy relies on optimizing the full technology stack, specifically focusing on how memory and storage systems impact the efficiency of training and serving Claude models. While the exact financial terms of the supply agreement and the specific size of Micron's investment remain undisclosed, Anthropic reported raising $65 billion during its Series H round, which resulted in a company valuation of $965 billion.
This partnership is part of a broader push by Anthropic to secure essential computing capacity. The developer has recently finalized infrastructure deals with major firms, including CoreWeave, Broadcom, and SpaceX. In addition to the hardware supply, Micron will collaborate with Anthropic to assess how memory and storage configurations perform across complex AI workloads and their integration with other infrastructure components.
Micron confirmed that it has already integrated Claude models into its own internal operations. The company is currently utilizing these systems for agentic (autonomous AI agents capable of multi-step task execution) workflows spanning engineering, enterprise functions, and manufacturing, with plans to scale these applications further. Anthropic, which recently released the coding assistant Claude Code, initiated a confidential filing for a U.S. initial public offering on June 1. The collaboration highlights the increasing importance of hardware-software co-design in the AI sector as developers race to secure long-term infrastructure stability.