Picture: BitBytec · Original illustration, BitBytec
What was announced
On 26 October 2026, NVIDIA and Meta said they will expand their work on Muse and the Muse family of models to improve inference and training performance, citing popular demand for useful AI agents. NVIDIA's press release says Meta's Muse models and agents, which use NVIDIA's infrastructure, have delivered frontier-level benchmark performance and surging consumer downloads since launch [1]. Those claims are the companies' own and the release gives no figures.
The money and the hardware
NVIDIA says it will invest $3 billion in Meta's equity offering. The release's forward-looking statements refer to NVIDIA's proposed investment, including its anticipated completion and any closing conditions, so the deal is described as expected rather than finished [1].
Meta intends to expand its deployment of NVIDIA infrastructure, including Vera Rubin and Vera CPUs, for what the companies call next-generation AI agents, aiming for maximum performance per watt. Meta will also deploy NVIDIA Spectrum-X Ethernet networking and BlueField-4 to support network efficiency and throughput [1].
Agent safety and monitoring
The companies are also considering further collaboration on the NVIDIA OpenShell Reference Architecture. That includes NVIDIA OpenShell for safe deployment of agents and NVIDIA Sentry for monitoring agent behaviour [1]. The release describes these as options the companies will consider rather than commitments.
Meta and NVIDIA say they intend to deepen their work on optimisations across workflows to maximise performance and improve total cost of ownership [1]. In plain terms, they want to make running AI agents cheaper and faster.
What the executives said
NVIDIA's founder and chief executive Jensen Huang said AI agents represent "a new computing paradigm — software that understands our goals, reasons, uses tools and gets work done on our behalf"[1]. He added that the partnership is about optimising the computing infrastructure end to end for capable, efficient and secure agents.
Meta's founder and chief executive Mark Zuckerberg said Muse is how Meta brings "personal superintelligence to everyone" [1].
Why it matters
For business readers, the announcement shows how tightly the biggest AI model builders and chip makers are linked. A chipmaker investing in a customer's equity offering, while that customer buys more of its hardware, is a notable arrangement, and it is worth reading future filings to see how the details are reported. This article only reflects what the companies have said in their own release.
It also shows where the industry is heading. Both companies frame agents, meaning software that takes actions on your behalf, as the next main way people use computers. The attention to security and monitoring suggests that controlling what agents do is becoming as important as how fast they run.
What to watch
Practical effects for ordinary users and smaller businesses will be indirect. More efficient infrastructure could lower the cost of serving agents, and Meta's apps are where many people will meet Muse. The release does not give dates for the new deployments, prices or product changes, so those details remain to be announced.
Sources
- NVIDIA and Meta to Expand Collaboration on Muse and Muse Family of Models Amid Robust Growth — NVIDIA Newsroom (primary source)
Written with AI from the sources listed, checked against them before publishing.