#NVIDIA

TSMC's Arizona Fab 21 has begun mass production of NVIDIA Blackwell wafers using the custom 4NP process, but these wafers must be shipped to Taiwan for CoWoS-L advanced packaging. This highlights a critical gap in the US semiconductor supply chain: while advanced logic fabrication is now possible domestically, the US still lacks high-volume advanced packaging and HBM memory capabilities, creating ongoing reliance on Taiwanese facilities and delaying full supply chain independence until at least 2028-2029. The 4NP process is a customized 4nm-class node for NVIDIA, and CoWoS-L combines chip-on-wafer-on-substrate with an RDL interposer and local silicon interconnect. Amkor, TSMC, and SK Hynix are building packaging and HBM capacity in the US, but these facilities are not yet operational.

NVIDIA has released Qwen3.6-27B-NVFP4, a 27-billion parameter language model quantized to 4-bit floating point using the custom NVFP4 format. This enables efficient inference on compatible NVIDIA hardware, particularly Blackwell GPUs. This release is significant for local LLM deployment, as it offers a strong 27B model with reduced memory footprint and bandwidth requirements. It demonstrates NVIDIA's push to enable high-quality inference on consumer-grade hardware through advanced quantization. The model is based on Qwen3.6 and uses NVFP4, a 4-bit floating-point format introduced with NVIDIA Blackwell architecture. NVFP4 employs a two-level scaling strategy with a fine-grained E4M3 exponent and a secondary FP32 scalar to maintain accuracy at ultra-low precision.