Nscale and Figure Forge $3.5 Billion Partnership to Propel Humanoid Robot Development with 100,000 Nvidia GPUs

September 3, 2026
Nscale and Figure Forge $3.5 Billion Partnership to Propel Humanoid Robot Development with 100,000 Nvidia GPUs
  • Nscale signs a multi-year partnership with Figure to deploy up to 100,000 Nvidia GPUs, anchored by a $3.5 billion compute commitment to propel Figure’s next generation of humanoid robots.

  • The collaboration emphasizes a vertically integrated model where Nscale provides power, compute, and orchestration while leveraging NVIDIA infrastructure to optimize model training and deployment.

  • Together, they aim to push physical AI by expanding data and compute for Figure’s Helix, with validation using Nvidia Vera Rubin GPUs and Nvidia Isaac Sim.

  • Figure builds its Index dataset from diverse real-world activities, filtering vast user-contributed video data to train broader robotic capabilities.

  • Humanoid robotics funding is surging in 2026, with about $8.6 billion raised year-to-date, nearly double all of 2025, signaling strong market momentum.

  • Industry expectations suggest robots could help offset labor shortages by 2035, though profitability and payoff timing remain uncertain.

  • Figure’s revenue plan centers on converting extensive training and data into scalable, billable robot deployments beyond demos.

  • Figure specializes in autonomous general-purpose humanoid robots for industrial and home use, headquartered in San Jose, California.

  • A core challenge for Figure is scaling physical intelligence, requiring massive compute and data to enable real-world perception, understanding, and interaction.

  • Figure’s Helix AI model integrates perception, reasoning, and motor control, demanding high-throughput compute for real-world robotics deployment.

  • Figure has historically raised large rounds with high valuations and is expanding beyond software into physical intelligence and robotics.

  • Figure has paid contributors around $15 million to date and plans to substantially increase spend on data and compute to move robots toward reliable, general-purpose work.

Summary based on 12 sources


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