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Memory-Efficient Attention Kernels

Evaluate and integrate next-generation attention kernels to boost throughput while safeguarding reproducibility and reliability.

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Evaluating claims critically

Questions to ask kernel authors or vendors:

  • What hardware and batch configurations achieved the advertised speedups?
  • How does performance scale with sequence length and head count?
  • Are there known precision or stability caveats?
  • How is memory fragmentation handled under multi-tenant loads?
  • Is there a roadmap for new architectures (next-gen GPUs, accelerators)?
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