FLAMIA Optimizes Attention Kernels for NVIDIA Blackwell GPUs
November 2, 2026
FLAMIA provides a family of attention kernels specifically for Blackwell architecture, supporting MXFP8 and mixed NVFP4/FP8 paths. It utilizes token-block scaling and fused quantization to prevent causal information leakage during high-throughput training.
HOW THIS AFFECTS YOU
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builderYou can achieve faster training and lower overhead when utilizing Blackwell GPUs for long-context models.
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researcherThis provides a mathematically consistent method for handling quantization in the forward and backward passes.