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How vLLM uses Nebius AI Cloud

As published on nebius.com. Captured by usedby on Oct 7, 2026.

What happened

vLLM, an open-source LLM inference framework, uses Nebius compute clusters and storage to test, benchmark and optimize inference for large models such as DeepSeek R1. This includes validating optimizations and RLHF workloads before releasing them to the community.

Summary written by usedby from the source page, in English. The figures are those of Nebius AI Cloud and vLLM, not ours.

By utilizing compute clusters, vLLM successfully scaled up inference experiments, integrating cutting-edge optimizations like multi-latent attention and multi-token prediction from the DeepSeek research paper into vLLM.

From the page. nebius.com, captured Oct 7, 2026

What the story claims, and what we checked

We compared the story with its live page on Oct 7, 2026.

  • The passage quoted aboveCheckedCopied word for word from the page, near the name of vLLM.
  • The numbers in our summaryCheckedEach one is printed on the page.
  • vLLM uses Nebius AI CloudCheckedConfirmed line. Latest check across sources: Oct 7, 2026.
  • The result itselfNot checkedWe quote it; we did not measure it.

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