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DeepSeek Unveils FlashMLA, A Decoding Kernel That’s Make Things Blazingly Fast

DeepSeek has launched FlashMLA, an innovative Multi-head Latent Attention decoding kernel optimized for NVIDIA’s Hopper GPUs, achieving 3000 GB/s memory bandwidth and 580 TFLOPS. It reduces memory overhead by 40-60% and enables efficient processing of variable-length sequences. FlashMLA demonstrates significant performance improvements and is open-sourced to enhance AI infrastructure, receiving rapid community support.

Source: cybersecuritynews.com –

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