Google DeepMind partners with Commonwealth Fusion Systems to optimise and control the SPARC tokamak with AI
Event confirmedAwaiting review
The takeaway
DeepMind announced a research partnership with Commonwealth Fusion Systems (CFS) for CFS’s SPARC tokamak, which aims to be the first magnetic-confinement device to produce net fusion energy.
Status
- Claim
Event confirmedAwaiting review
- Our reporting
- High confidence
- Verification
- Unverified claim
- Importance
- 3 of 5
- Last verified
- 29 September 2026
Your AI and this story
- GPT-6 AstraIn its training data
- Claude Opus 5.5In its training data
- Gemini 4 HydrogenIn its training data
- Grok 4.7In its training data
It happened before the cutoffs of all four assistants, so it can be in their training data.
Key facts
- TORAX: open-source, differentiable plasma transport simulator written in JAX; CFS: it ‘saved us countless hours’
- Three strands: fast simulation (TORAX), searching operating scenarios with RL/evolutionary algorithms, and RL real-time control (e.g. heat-load distribution)
- Builds on DeepMind’s 2022 RL tokamak magnetic-control work with EPFL’s Swiss Plasma Center (TCV)
- Google has invested directly in CFS
What happened
DeepMind and CFS said they would use AI to plan and run SPARC’s plasma campaigns before the machine reaches full power, with TORAX as the shared simulation layer.
Why it matters
It moves AI plasma control from academic demos (TCV, DIII-D) into the commissioning plan of a privately built machine that aims for net energy.
What is disputed or not yet verified
| Verification | Not applicable (partnership announcement) |
|---|
Sources
2 sources from 2 sites. Numbers match the chips in the text.
2 sources: 2 primary
Primary
- Google DeepMind: Bringing AI to the next generation of fusion energydeepmind.google, official
- TORAX on GitHubgithub.com, code
Changes
- Filed