Team integrates SGLang into IBM Spyre in under a week with AI

The integration leveraged existing PyTorch hardware support and SGLang's clear extension points, reusing prior implementations. SGLang achieved 3.6× throughput over the reference PyTorch implementation on Spyre and matched vLLM performance on Granite 3.3 8B and Gemma 4 26B A4B workloads. RadixCache prefix sharing worked without any Spyre-specific changes.

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