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DeepSeek Launches FlashMLA, an MLA Decoding Kernel for Hopper GPUs

  • DeepSeek has released FlashMLA, a decoding kernel for Hopper GPUs, to improve computational efficiency for AI applications.
  • The kernel supports variable-length sequences and achieves high performance speeds of up to 3000 GB/s for memory tasks and 580 TFLOPS for computing.
  • FlashMLA is available on GitHub for exploration and use, and is expected to impact sectors like cryptocurrency trading algorithms.
  • DeepSeek recently announced the launch of five open-source repositories and has a collection of 14 open-source models and repositories on Hugging Face.

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