Cerebras Teams Up with Hugging Face, DataRobot, and Docker to Revolutionize AI Inference for Developers
At the RAISE Summit in Paris, France, Cerebras Systems unveiled a series of groundbreaking partnerships with industry leaders Hugging Face, DataRobot, and Docker. These collaborations aim to democratize access to Cerebras’ ultra-fast AI inference capabilities, empowering developers and enterprises to build the next generation of intelligent, real-time agentic AI applications. By integrating Cerebras’ world-class inference performance into widely used platforms, these partnerships are set to redefine how developers create, deploy, and scale AI systems.
Hugging Face + Cerebras: Supercharging Agentic Applications
One of the most exciting announcements is the integration of Cerebras’ AI inference capabilities with Hugging Face’s SmolAgents library—a popular toolkit that enables developers to build intelligent agents capable of reasoning, using tools, and executing code with just a few lines of Python. Now powered by Cerebras’ lightning-fast inference and deployed seamlessly via Gradio on Hugging Face Spaces, SmolAgents can deliver near-instantaneous responses, significantly enhancing interactivity and user experience.
To demonstrate the potential of this collaboration, Hugging Face and Cerebras showcased a demo financial analysis agent. This agent evaluates investment portfolios and generates actionable insights—all in real time. The combination of Hugging Face’s intuitive framework and Cerebras’ high-performance inference creates a powerful platform for building real-world applications that can keep pace with users’ demands.
“With Cerebras, SmolAgents become not just smart, but lightning fast,” said Julien Chaumond, CTO and Co-founder of Hugging Face. “We’re excited to see developers build real-world agents that can actually keep up with their ideas.”
This partnership bridges the gap between cutting-edge AI research and practical application, enabling developers to create interactive, intelligent agents that are both efficient and scalable.
DataRobot + Cerebras: Optimizing Agentic AI with the syftr Framework
DataRobot, a leader in enterprise-grade AI platforms, has integrated Cerebras’ inference capabilities into its newly launched open-source framework, syftr. Designed to automate agentic workflows, syftr simplifies the process of building and deploying production-grade agentic AI applications. With Cerebras’ unparalleled inference speed, syftr now delivers an unmatched toolchain for creating Pareto-optimal agents—those that achieve maximum performance with minimal resources.
“Syftr was built to optimize agentic AI for real-world scenarios and data, and now—integrated with Cerebras’ industry-leading AI inference performance—it delivers an unmatched toolchain for production-grade agentic apps,” said Venky Veeraraghavan, Chief Product Officer at DataRobot. “We’re thrilled to give our customers the fastest, easiest way to deliver business value from agentic AI, including the ability to build optimal RAG (Retrieval-Augmented Generation) applications with minimal manual effort.”
This collaboration empowers enterprises to harness the full potential of agentic AI, from automating complex workflows to generating actionable insights. By combining DataRobot’s robust framework with Cerebras’ speed, businesses can accelerate innovation while reducing operational overhead.
Docker + Cerebras: Simplifying Deployment for Millions of Developers
In another major development, Cerebras has partnered with Docker to bring its blazing-fast inference capabilities to one of the most developer-friendly ecosystems in the world. With over 20 million developers using Docker, this integration makes it easier than ever to deploy sophisticated multi-agent AI stacks.
Using Docker Compose, developers can now spin up powerful AI environments in seconds. Simply define your models, agents, and Cerebras APIs, then launch your full agentic setup with a single command. This streamlined process eliminates the need for complex configurations or rewrites, allowing developers to focus on innovation rather than infrastructure.
“Developers want to move fast without getting tangled in infrastructure,” said Nikhil Kaul, VP of Product Marketing at Docker. “With Docker Compose now supporting agentic apps, they can build sophisticated AI systems locally and scale them into production with the exact same workflow. It’s about giving every developer the superpower to experiment and deploy, without the headaches of translating dev setups into production reality.”
This partnership removes barriers to entry, enabling developers to rapidly prototype and deploy AI solutions. Whether working on local machines or scaling to cloud environments, Docker and Cerebras provide a seamless path to production.
Enabling the Next Generation of Agentic AI Applications
The combined efforts of Cerebras, Hugging Face, DataRobot, and Docker represent a significant leap forward in the accessibility and impact of AI inference. By leveraging Cerebras’ ultra-fast inference technology, these integrations unlock new possibilities for developers and enterprises alike.
- For Developers: These tools lower the barrier to entry, making it easier to experiment with and deploy advanced AI applications. From building intelligent agents to automating complex workflows, developers can now achieve results faster and with greater efficiency.
- For Enterprises: Businesses gain access to scalable, production-ready solutions that drive tangible value. Whether optimizing supply chains, analyzing financial data, or enhancing customer experiences, organizations can leverage agentic AI to stay competitive in an increasingly dynamic market.
A New Era of AI Innovation
The partnerships announced at the RAISE Summit underscore Cerebras’ commitment to pushing the boundaries of what’s possible in AI. By collaborating with industry leaders like Hugging Face, DataRobot, and Docker, Cerebras is ensuring that its groundbreaking technology reaches a broad audience of innovators and problem-solvers.
As Julien Chaumond aptly noted, “We’re excited to see developers build real-world agents that can actually keep up with their ideas.” Similarly, Venky Veeraraghavan emphasized the transformative potential of syftr when paired with Cerebras’ inference capabilities. And Nikhil Kaul highlighted how Docker’s integration empowers developers to focus on creativity rather than complexity.
Together, these collaborations are paving the way for a future where AI is not only smarter but also faster, more accessible, and easier to deploy. For developers, enterprises, and end-users, this marks the beginning of a new era—one where intelligent, real-time agentic AI applications become the norm rather than the exception.
With Cerebras leading the charge, the possibilities for innovation are virtually limitless. As these technologies continue to evolve, we can expect to see even more groundbreaking advancements that reshape industries and improve lives around the globe.
About Cerebras Systems
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to accelerate generative AI by building from the ground up a new class of AI supercomputer. Our flagship product, the CS-3 system, is powered by the world’s largest and fastest commercially available AI processor, our Wafer-Scale Engine-3. CS-3s are quickly and easily clustered together to make the largest AI supercomputers in the world, and make placing models on the supercomputers dead simple by avoiding the complexity of distributed computing. Cerebras Inference delivers breakthrough inference speeds, empowering customers to create cutting-edge AI applications. Leading corporations, research institutions, and governments use Cerebras solutions for the development of pathbreaking proprietary models, and to train open-source models with millions of downloads. Cerebras solutions are available through the Cerebras Cloud and on-premises.
