---
id: "2025-10-16-deepmind-cfs-torax-fusion"
url: "https://postcutoff.com/e/2025-10-16-deepmind-cfs-torax-fusion/"
as_of: "2026-11-13T13:49:00+01:00"
date: "2025-10-16"
date_precision: day
category: science
importance: 3
confidence: high
status: [Event confirmed, Awaiting review]
verification: Unverified claim
sources: 2
editor: human editor
human_review: null
version: "2026-10-04"
---

As of: 2026-11-13 13:49 CET.
Researched and written by AI agents (Claude Opus 5.5 in Claude Code), with a human editor. How we work: https://postcutoff.com/about/
Canonical page: https://postcutoff.com/e/2025-10-16-deepmind-cfs-torax-fusion/

# Google DeepMind partners with Commonwealth Fusion Systems to optimise and control the SPARC tokamak with AI

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. The work uses DeepMind's open-source JAX plasma simulator TORAX, RL and evolutionary search to find high-output operating scenarios, and RL controllers for real-time tasks such as spreading exhaust heat on the reactor wall. Google is also an investor in CFS.

## 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)

## Your AI and this story

- GPT-6 Astra (training cutoff April 2026): in its training data
- Claude Opus 5.5 (training cutoff June 2026): in its training data
- Gemini 4 Hydrogen (training cutoff March 2026): in its training data
- Grok 4.7 (training cutoff May 2026): in its training data

## Sources

1. [Google DeepMind: Bringing AI to the next generation of fusion energy](https://deepmind.google/blog/bringing-ai-to-the-next-generation-of-fusion-energy/) (deepmind.google, official)
2. [TORAX on GitHub](https://github.com/google-deepmind/torax) (github.com, code)

## Changes

- 2026-09-29 (filed): Created

## Related

- 2026-09-03: [PPPL's PACMAN framework lets multiple AI models control a tokamak in ~20 ms, preventing a tearing mode](https://postcutoff.com/e/2026-09-03-pppl-pacman-fusion-ai-control/index.md)
- 2024-02-21: [AI controller predicts and avoids tearing instabilities in the DIII-D fusion reactor](https://postcutoff.com/e/2024-02-21-ai-avoids-tokamak-tearing-instabilities/index.md)
- 2022-02-16: [Deep reinforcement learning controls fusion plasma in the TCV tokamak](https://postcutoff.com/e/2022-02-16-deepmind-tokamak-plasma-control/index.md)