Cerebras Partners with Hugging Face, DataRobot, and Docker for Fast AI Inference

Cerebras Systems has announced partnerships with Hugging Face, DataRobot, and Docker to enhance AI inference capabilities, enabling faster and more interactive AI applications.

Cerebras Systems has announced new partnerships with Hugging Face, DataRobot, and Docker to enhance AI inference capabilities, announced in a press release. These collaborations aim to improve the accessibility and performance of Cerebras' ultra-fast AI inference, facilitating the development of intelligent, real-time AI applications.

Hugging Face's SmolAgents library, now powered by Cerebras inference, allows developers to create intelligent agents that deliver near-instant responses. This integration is showcased through a demo financial analysis agent capable of real-time portfolio evaluation and insight generation.

DataRobot has integrated Cerebras inference into its syftr framework, optimizing agentic AI for real-world scenarios. This collaboration provides a robust toolchain for production-grade AI applications, enabling businesses to build optimal RAG applications with minimal effort.

Docker and Cerebras have simplified the deployment of agentic applications by integrating Cerebras' fast inference capabilities into Docker Compose. This allows developers to quickly set up powerful AI stacks, enhancing the ease of experimentation and deployment without complex infrastructure challenges.

We hope you enjoyed this article.

Consider subscribing to one of several newsletters we publish. For example, in the Daily AI Brief you can read the most up to date AI news round-up 6 days per week.

Also, consider following us on social media:

Subscribe to AI Programming Weekly

Weekly news about AI tools for software engineers, AI enabled IDE's and much more.

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more