Mark RadarMARK RADAR
About
EN
Sign in

Nscale Signs $3.5 Billion Compute Deal With Figure

2 reports · First detected 2026-09-04 · Last active 2026-09-04

Figure is developing humanoid robots for manufacturing, logistics and household applications, with its Helix AI model combining vision, language and motor control. Training increasingly capable models and operating robots at scale require substantial computing capacity, making reliable access to AI infrastructure a critical factor in Figure’s effort to accelerate product development and commercial deployment.

Nscale said in September 2026 that it signed a multiyear agreement to provide Figure with at least $3.5 billion of computing resources, with the commitment potentially rising to $6 billion. The AI cloud provider will also take an equity stake in Figure and become its preferred compute supplier, supporting development of the next generation of Helix models and humanoid robotic systems.

All Coverage

2 original reports

The Backstory

The history behind this event
Anthropic Signs $45 Billion Nscale AI Compute Deal2026-08-27 · 3 reports · similarity 0.80

Training and running generative AI models requires vast data-center capacity, advanced chips and power, making access to compute a central battleground for leading developers. Anthropic has been expanding its infrastructure footprint as it competes with OpenAI, while UK startup Nscale is building large-scale AI data centers. The agreement also underscores the strategic importance of Nvidia’s Vera Rubin platform in the next wave of model development.

Anthropic agreed to spend about $45 billion with Nscale to secure computing resources powered by Nvidia’s latest Vera Rubin chips. Support under the agreement is expected to begin by the end of 2027, giving Anthropic additional capacity for training and serving its AI systems. The deal is the latest step in the company’s compute-buying push and marks a significant escalation in its cloud and data-center spending.

Mark Radar|MARK RADAR

If you search news on Google, you can set Mark Radar as a preferred source—our coverage will show up more often in your results. Set as preferred source on Google →

All times are in Taipei time (GMT+8)