Memory chipmaker Netlist files complaint seeking import restrictions on Micron and AI companies' products
Netlist filed a complaint at the U.S. International Trade Commission seeking to block imports of Micron memory chips and products from Google, Nvidia, and Broadcom, alleging infringement of patents covering high-bandwidth memory technology used in AI infrastructure. The filing follows Netlist's 2024 victory in securing a USD 445 million patent verdict against Micron in Texas federal court, and recent settlements with Samsung worth USD 421 million. The complaint targets DRAM devices and graphics processing units, servers, and other products that incorporate the allegedly infringing memory technology.
Netlist's latest action at the U.S. International Trade Commission represents an escalation in the company's broader intellectual property enforcement campaign. The filing builds on substantial legal victories secured in 2024 and 2025, including a half-billion-dollar judgment against Micron and a major settlement with Samsung, both stemming from disputes over high-bandwidth memory technology critical to AI systems. These proceedings demonstrate how patent disputes in semiconductor manufacturing can span multiple legal venues simultaneously.
The complaint specifically targets products incorporating Micron's memory components, extending the dispute beyond the chip manufacturer itself to major technology companies that integrate these components into AI infrastructure. This approach leverages the ITC's authority to restrict imports, potentially creating market pressure on multiple fronts. The timing reflects intensifying competition within the AI computing sector, where memory bandwidth has become a performance-critical differentiator.
An import restriction could significantly disrupt AI infrastructure development and deployment timelines for affected companies and their customers, potentially affecting data center buildouts and AI service availability. Semiconductor supply chains would face pressure to source alternative memory technologies or restructure product designs. Industry-wide implications could include increased development costs and possible price increases for AI computing resources. Conversely, the outcome may influence how memory technology patents are licensed and enforced across the semiconductor sector going forward.