Hardware
Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell
This NVIDIA technical article addresses how low-bit mixed-precision pre-training accelerates large language model training, where optimizing numerical precision can reduce training time across distrib
This NVIDIA technical article addresses how low-bit mixed-precision pre-training accelerates large language model training, where optimizing numerical precision can reduce training time across distributed systems. The guide demonstrates using NVFP4 quantization with JAX and MaxText on NVIDIA Blackwell GPUs to achieve up to 5x higher throughput compared to BF16 precision. NVFP4 checkpoints are compatible across NVIDIA Hopper, Blackwell, and Ampere GPU architectures through specialized quantization kernels.
Source: NVIDIA Developer | 2026-06-08