Meta and NVIDIA expand training and inference collaboration for Muse models
Meta and NVIDIA will expand joint optimization work to improve training and inference performance across the Muse model family; Meta also plans to scale Vera Rubin, Spectrum-X and BlueField-4 infrastructure.
AT A GLANCE
Key points
- The collaboration focuses on optimizing training and inference workflows for Muse models.
- Meta plans to expand deployment of Vera Rubin, Vera CPUs, Spectrum-X and BlueField-4.
- The companies will evaluate OpenShell and Sentry for agent security and behavior monitoring.
What is changing?
NVIDIA and Meta announced an expansion of their technical partnership to improve training and inference performance for Muse and the Muse family of models. The companies aim to optimize Muse workflows end to end, raising performance while reducing total cost of ownership.
According to the announcement, Meta plans to expand its use of NVIDIA Vera Rubin systems and Vera CPUs for next-generation AI agents, while deploying Spectrum-X Ethernet and BlueField-4 infrastructure. The companies will also consider additional collaboration around OpenShell for safe agent deployment and Sentry for monitoring agent behavior.
NVIDIA also said it will invest $3 billion in Meta’s equity offering. While that financial element is part of the agreement, the main product implication is joint optimization across the training, inference, networking and security layers supporting Muse models.
Explore the original sources
Source date: 26 October 2026.
Published by AI Radar: 27 Oct 2026, 10:03 (Istanbul, UTC+3). Updated: 27 Oct 2026, 10:10.
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