Checked fact 43519 Nov 2026Research

The post says NeMo RL currently uses a communication-group approach for resiliency, and that resiliency support using NCCL shrink and grow APIs is planned for future updates.

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The exact words it rests on

NeMo RL currently uses the first approach for resiliency support. Resiliency support using NCCL shrink and grow APIs is pla

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 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 NeMo RL currently uses a communication-group approach for resiliency, and that resiliency support using NCCL shrink and grow APIs is planned for future updates.” ai notis, checked 9 Nov 2026. Source: Accelerating Reinforcement Learning Weight Refit with the Reshard Collective (NVIDIA). https://ainotis.com/c/4351

As a reference (APA style)

ai notis. (2026, November 9). The company says: The post says NeMo RL currently uses a communication-group approach for resiliency, and that resiliency support using NCCL shrink and grow APIs is planned for future updates [Checked claim 4351]. ai notis. https://ainotis.com/c/4351

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