Reports
AI-generated structured vendor updates
TSMC Starts 4nm Production in Arizona, Reshaping AI Chip Supply Chain
TSMC's Arizona Fab 21 has begun volume production of 4nm (N4) chips, its first advanced fab in the US. With $40B investment and 50K wpm capacity, Apple, NVIDIA, and AMD are initial customers. A second fab targeting 3nm by 2028 signals a fundamental shift in global chip manufacturing ecosystem from Asia-centric to US-localized.
台积电与Amkor达成亚利桑那先进封装10年期合作
...
Intel Unveils Rack-Scale AI Inference with Xeon 6+ and SambaNova RDU, Targeting Agentic Workloads
Intel announces rack-scale AI infrastructure combining Xeon 6+ (288 cores, Intel 18A) and SambaNova SN-50 RDU for agentic inference. Also launches Vector Core Compute cloud with decoupled prefill/decode using Xeon, SambaNova, and NVIDIA Blackwell. Aims to disrupt GPU-centric inference by offering lower TCO and higher density.
NVIDIA and SK hynix Co-Architect Next-Gen Memory for AI Factories, Locking HBM4 to Vera Rubin
NVIDIA and SK hynix announce a multi-year tech partnership to co-develop next-gen memory for Vera Rubin, RTX Spark, and Jetson Thor. Separately, SK Telecom deploys a gigawatt-scale AI cloud using the full DGX stack, targeting 2027. This elevates SK hynix from supplier to co-architect, strengthening NVIDIA's lock-in on HBM and the AI ecosystem.
Intel's 18A Xeon 6+ and Rack Scale AI: A CPU-Centric Challenge to NVIDIA's Inference Empire
At Computex 2026, Intel launched the 18A-node Xeon 6+ processor, the Rack Scale AI platform with SambaNova's SN-50 RDU, and a fully disaggregated inference service (Vector Core Compute). This CPU-centric hybrid architecture targets agentic AI inference workloads, directly challenging NVIDIA's Vera Rubin NVL72 and GPU-dominated ecosystem.