SPEED-Bench
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- How to Serve GLM-5.3 Across Two NVIDIA DGX Stations
NVIDIA Technical Blog shows how to serve the quantized 753-billion-parameter GLM-5.3 locally with vLLM across two connected NVIDIA DGX Stations. Tensor parallelism splits weights and computation between the GB300 GPUs, keeping the roughly 464 GB checkpoint in GPU memory behind one OpenAI-compatible API. In NVIDIA’s SPEED-Bench test, throughput peaked at 607.8 tokens per second at concurrency 16 before falling to 385.0 tokens per second at concurrency 32.
NVIDIA Technical Blog · 🔥 5
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