Nvidia Has Discussed $1 Billion Figure AI Investment
Nvidia continues to support the robotics firm following a massive Series C funding round.
Updated on Oct. 7, 2026 in Artificial Intelligence

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Nvidia has reportedly discussed a $1 billion investment in robotics company Figure AI. The startup, which reached a $39 billion valuation in September 2025, has now raised approximately $1.9 billion in total funding.
Why it matters
Figure AI requires significant computing resources and data to scale production of its robots and advance its proprietary Helix AI model. This support helps the startup maintain its momentum in the competitive robotics and AI hardware sectors.
Figure AI plans to leverage 100,000 Nvidia Vera Rubin GPUs as part of a $3.5 billion compute commitment from Nscale. This infrastructure is designed to train and deploy advanced robotics models.
The players
Figure AI
This company is a developer of general-purpose autonomous humanoid robots designed for industrial and commercial use.
Nvidia
This technology corporation is a leading designer of graphics processing units and hardware essential for artificial intelligence development.
Nscale
This UK-based infrastructure firm provides high-performance computing capacity and maintains operational partnerships in the AI sector.
The details
Figure AI and the UK-based firm Nscale announced a partnership on September 3, 2026, which includes a $3.5 billion commitment for AI compute capacity. Nscale intends to deploy these GPU resources, potentially expanding the commitment to over $6 billion in the future.
Timeline
Figure AI was founded in 2022.
Nvidia joined the Figure AI Series C funding round in September 2025.
The partnership with Nscale was announced on September 3, 2026.
Nscale targets initial GPU deployments for the second half of 2027.
The Tech Race
The deployment of the Nvidia Vera Rubin GPUs represents a critical shift toward specialized hardware for training complex robotics models. This move positions the partnership as a major player in the race to scale physical AI capabilities across industrial sectors.
While the deal focuses on industrial hardware, it signals a long-term shift toward more capable and efficient autonomous robots. Users may see these advancements reflected in improved automation speeds and lower operational costs for commercial services.
The takeaway
The move underscores the growing interdependence between major hardware suppliers and AI-driven robotics startups. Companies that secure access to massive computing resources are now better positioned to dominate the next generation of industrial automation.
Further reading
Learn more about the evolving landscape of Artificial Intelligence.
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