On October 27, 2026, NVIDIA and Meta announced an expanded partnership centered on Meta's Muse assistant and the Muse family of models, aiming to improve training and inference performance while lowering costs. In the same announcement, NVIDIA said it would invest $3 billion in Meta's equity offering, adding a shareholder relationship to the existing ties between chip supplier and model builder.
The work starts with end-to-end optimization for Muse
The two companies said they will optimize workflows for Muse from end to end so the models run faster on NVIDIA infrastructure at a lower total cost of ownership. Meta plans to expand deployment of Vera Rubin and Vera CPUs, paired with Spectrum-X Ethernet networking and BlueField-4, to support next-generation agent workloads. Meta said Muse models have seen surging downloads since launch, with NVIDIA compute as the infrastructure behind them, and the new deal turns an existing dependency into deeper joint tuning. For Meta, the compute bill is the heaviest part of its financing plan, so joint optimization directly affects whether that money is well spent.
The $3 billion investment is not a done deal
The investment deserves separate scrutiny. NVIDIA said it "will invest $3 billion," while the announcement's forward-looking statements caution that completion depends on closing conditions. Just a day earlier, Meta unveiled a financing plan of up to $95 billion, with NVIDIA, AMD and Broadcom expressing combined non-binding interest of up to $5 billion. In other words, $3 billion is the amount NVIDIA has indicated, not shares already purchased; the actual outcome will appear in later offering documents, and neither the stake nor the price has been disclosed.
The security tools are still only under consideration
Two further items in the announcement remain at the "considering collaboration" stage: safe-deployment capabilities under NVIDIA's OpenShell reference architecture, and Sentry, for monitoring agent behavior. Neither comes with a product description, timetable or performance figure. For enterprise users, what is concrete is the expanded compute deployment and the joint optimization of Muse; the security collaboration can only be judged once specific releases appear. What matters about this deal is not any single specification but the signal itself: as model companies fund compute by issuing shares, a chip supplier is tying itself to the same boat with real money, making Muse's fortunes part of NVIDIA's own story.
