Nvidia Claims 607.8 Tokens/Second Serving GLM-5.3 with vLLM on Two DGX Stations

Nvidia Reports Serving GLM-5.3 at 607.8 briefing

Nvidia claims GLM-5.3 runs at 607.8 tokens per second across two DGX stations with vLLM, highlighting high-performance large language model inference.

Edited by The Intel Brief Desk · 15 Nov 2026, 00:58 · 1 min read

Key takeaways

Nvidia claims that GLM-5.3 can be served at 607.8 tokens per second using vLLM across two Nvidia DGX stations, as reported in their official blog.
This performance figure is notable for large language model inference, but independent verification is lacking.
GLM-5.3 can be served at 607.8 tokens per second across two Nvidia DGX stations using vLLM.

What we know

Nvidia claims that GLM-5.3 can be served at 607.8 tokens per second using vLLM across two Nvidia DGX stations, as reported in their official blog. This performance figure is notable for large language model inference, but independent verification is lacking. GLM-5.3 can be served at 607.8 tokens per second across two Nvidia DGX stations using vLLM.

Why it matters

GLM-5.3 is a large language model, and vLLM is an inference engine designed for efficient serving of such models. Nvidia DGX stations are high-performance computing platforms optimized for AI workloads. Nvidia's blog post details their setup and performance metrics, but the information comes directly from the vendor and has not been independently corroborated.

What is still unknown

Enforcement details, remaining product questions, and independent tests are not in the reporting.

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Nvidia Reports Serving GLM-5.3 at 607.8 briefing

What we know

Why it matters

What is still unknown

Sources

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