NVIDIA Blackwell
A GPU architecture series introduced by NVIDIA that supports NVFP4 four-bit quantized inference and includes models such as B200, targeting large-scale AI training and inference.
Timeline (last 90 days)
DeepInfer only supports the NVIDIA Blackwell architecture and Huawei Ascend chips.
DeepInfer maintains separate operator implementations for the two ISAs, Blackwell and Ascend.
To judge whether DeepInfer is suitable, you only need to answer three conditions: whether you have Blackwell or Ascend hardware, whether you run only V4.1-Flash, and whether it is an offline scenario; if all three are "yes", it is worth a try.
Nemotron 3.5 Bolt deployment goes through vLLM and supports NVIDIA Ampere (A100), Hopper (H100-80GB), and Blackwell platforms.
Blackwell's native hardware-level support for MX block-level scaling allows scaling factors to be fused with matrix multiplication operations during execution, which is the fundamental reason why FA4 MX8 performance numbers cannot be directly transferred to Hopper.
OpenAI has begun large-scale deployment of NVIDIA Blackwell architecture GPUs interconnected with NVLink technology in its inference services.
All Facts (8)
sm_103是NVIDIA Blackwell架构的CUDA计算能力标识符
85%UnverifiedNVIDIA Blackwell架构理论AI算力相比Hopper提升约2.5倍
75%UnverifiedTo judge whether DeepInfer is suitable, you only need to answer three conditions: whether you have Blackwell or Ascend hardware, whether you run only V4.1-Flash, and whether it is an offline scenario; if all three are "yes", it is worth a try.
50%UnverifiedDeepInfer only supports the NVIDIA Blackwell architecture and Huawei Ascend chips.
50%UnverifiedDeepInfer maintains separate operator implementations for the two ISAs, Blackwell and Ascend.
50%UnverifiedNemotron 3.5 Bolt deployment goes through vLLM and supports NVIDIA Ampere (A100), Hopper (H100-80GB), and Blackwell platforms.
50%UnverifiedBlackwell's native hardware-level support for MX block-level scaling allows scaling factors to be fused with matrix multiplication operations during execution, which is the fundamental reason why FA4 MX8 performance numbers cannot be directly transferred to Hopper.
50%UnverifiedOpenAI has begun large-scale deployment of NVIDIA Blackwell architecture GPUs interconnected with NVLink technology in its inference services.
50%