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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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Procurement and governance considerations

  • For externally sourced kernels, review licenses, maintenance cadence, and community support.
  • Establish security vetting for third-party code (supply chain reviews, static analysis, sandbox testing).
  • Track total cost of ownership: engineering effort to integrate, maintain, and debug vs performance gain.
  • Document risk assessments when deviating from vendor-supported paths; auditors may ask why a bespoke kernel powers regulated workloads.
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