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vLLM adds Megatron reinforcement learning support for Kimi Delta Attention

2 articles1 sourcesince Nov 4Last article 39m ago ·

Overview

AISummary of 2 articles

vLLM says it has added day-zero reinforcement learning support through its integration with Megatron, covering training–inference consistency for Kimi Delta Attention.

In its November 4, 2026 post on X, vLLM says Inferact's work also includes cache and state management for serving long-running agents.

The announcement comes from vLLM's own X account. A second post from the same day, also from vLLM, repeats the claim and attributes the cache and state work to @inferact. The reports do not include independent testing or benchmark results.

Written by AI from the articles below · updated Nov 4, 11:48 AM ET

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Latest developmentNov 4, 11:40 AM ET
vLLM adds day-zero reinforcement learning support with Megatron

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The articles in this story. Times are ET.

Nov 4
  1. vLLMOfficial
    vLLM adds day-zero reinforcement learning support with Megatron

    AIvLLM says it now supports reinforcement learning from day zero with Megatron, covering training–inference consistency for Kimi Delta Attention. The work also includes cache and state management for serving long-running agents, according to the post by @inferact.

    Image from @vllm_project's post
  2. vLLMOfficial
    vLLM adds Day-0 reinforcement learning support with Megatron for Kimi Delta Attention

    AIvLLM says it has Day-0 reinforcement learning support through its integration with Megatron. Inferact's work covers training–inference consistency for Kimi Delta Attention, along with cache and state management for serving long-running agents.

    Image from @vllm_project's post

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