Low-cost AMD/ROCm stationary-expert fabric for configurable trillion-parameter sparse MoE inference, with packed-INT4 HIP kernels, activation-only RoCE transport, hardware/BOM design, release gates, and reproducible roofline tooling.
What is the manishklach/expertmesh GitHub project? Description: "Low-cost AMD/ROCm stationary-expert fabric for configurable trillion-parameter sparse MoE inference, with packed-INT4 HIP kernels, activation-only RoCE transport, hardware/BOM design, release gates, and reproducible roofline tooling.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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