Checked fact 43509 Nov 2026Research

The post says NCCL M2N Reshard, an open source reference implementation of the Reshard collective, is available through the NVIDIA/nccl-extensions GitHub repo, and that NeMo RL is an open source framework that can use it.

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The exact words it rests on

NCCL M2N Reshard, an open source reference implementation of the Reshard collective, is available through the NVIDIA/nccl-extensions GitHub repo.

What the source said when we opened it, on 9 Nov 2026.

The source

Accelerating Reinforcement Learning Weight Refit with the Reshard Collective
NVIDIA · 2026-11-06

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Checked

Checked by the notis newsroom on 9 Nov 2026, against the source above.

In the story

Nvidia reports its Reshard call cuts DeepSeek-V3 weight refit from 14.9 to 2.6 seconds in its own tests. 9 Nov 2026

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The company says: “The post says NCCL M2N Reshard, an open source reference implementation of the Reshard collective, is available through the NVIDIA/nccl-extensions GitHub repo, and that NeMo RL is an open source framework that can use it.” ai notis, checked 9 Nov 2026. Source: Accelerating Reinforcement Learning Weight Refit with the Reshard Collective (NVIDIA). https://ainotis.com/c/4350

As a reference (APA style)

ai notis. (2026, November 9). The company says: The post says NCCL M2N Reshard, an open source reference implementation of the Reshard collective, is available through the NVIDIA/nccl-extensions GitHub repo, and that NeMo RL is an open source framework that can use it [Checked claim 4350]. ai notis. https://ainotis.com/c/4350

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