Semidynamics Unveils 3nm AI Inference Silicon and Full-Stack Systems
Semidynamics has unveiled its 3nm AI inference silicon and full-stack infrastructure, marking its expansion into vertically integrated AI systems announced in a press release. The company’s roadmap includes chips, boards, and rack-level systems designed to support large-scale AI inference workloads in advanced data centers.
The new architecture introduces a memory subsystem aimed at reducing bandwidth bottlenecks and improving efficiency for high-concurrency AI applications. Semidynamics achieved silicon readiness at the 3nm node with TSMC in December 2025, confirming its transition toward production-grade silicon.
The company’s vertically integrated offering includes the 3nm AI inference silicon, boards, and racks for multi-accelerator AI platforms. Partnerships supporting the initiative include EuroHPC Joint Undertaking, HPE, Bull (Atos Group), Telefónica, Multiverse Computing, E4 Computer Engineering, and Megware, each contributing to system design, deployment, and optimization.
Founded in 2016 and headquartered in Barcelona, Semidynamics focuses on developing high-performance silicon and infrastructure solutions for AI and HPC workloads.
We hope you enjoyed this article.
Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.
Also, consider following us on social media:
More from: Data Centers
Subscribe to Silicon Brief
Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.
Whitepaper
Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation
The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.
Read more