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thrml

AI Development Libraries

thrml is an open-source library by Extropic AI for thermodynamic computing and probabilistic machine learning.

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Pricing

Open Source

Fully open-source library available at no cost on GitHub.

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Available On

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WebsiteDocsGitHubllms.txt

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AI Development LibrariesLocal InferenceAI Infrastructure

Listed Mar 2026

About thrml

thrml is an open-source library developed by Extropic AI, hosted on GitHub, focused on thermodynamic computing and probabilistic machine learning primitives. It provides researchers and developers with tools to explore and implement thermodynamic approaches to AI and machine learning. The project is in early/active development and is publicly available for contribution and experimentation.

  • Open-source codebase — Clone or fork the repository directly from GitHub to get started with thermodynamic ML primitives.
  • Thermodynamic computing focus — Implements concepts from thermodynamic computing, enabling novel probabilistic inference and sampling approaches.
  • Research-oriented — Designed for researchers and engineers exploring next-generation hardware-software co-design for AI.
  • GitHub-hosted — All source code, issues, and contributions are managed through the GitHub repository at extropic-ai/thrml.
  • Python-based — Built for the Python ecosystem, making it accessible to the broader ML research community.
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Pricing

OPEN SOURCE

Open Source

Fully open-source library available at no cost on GitHub.

  • Full source code access
  • Community contributions
  • GitHub issues and discussions
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Capabilities

Key Features

  • Thermodynamic computing primitives
  • Probabilistic machine learning tools
  • Open-source and community-driven
  • Python-based library
  • Research-oriented design

Integrations

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Developer

Extropic AI

Extropic AI builds thermodynamic computing hardware and software for next-generation AI acceleration. The company develops novel probabilistic computing systems that leverage thermodynamic principles to enable more efficient and powerful machine learning. Extropic's team combines expertise in physics, hardware engineering, and machine learning to push the boundaries of AI infrastructure.

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