CrewAI Integration With NVIDIA AI For Production-Grade AI Agents
Today we announce a major collaboration with NVIDIA, to fully integrate CrewAI with NVIDIA NIM microservices - part of the NVIDIA AI Enterprise software platform. This means any NVIDIA customer and engineers using models hosted on NVIDIA can now power CrewAI Agents and Flows with it.
It’s incredible to think about how far the market has come. We have seen thousands of AI Agents use cases by now and this integration is about to enable even more.
From production use cases on large enterprises like PwC, to startups tackling big challenges like Parloa, we are thrilled to support all use cases across many industries, and this collaboration now guarantees a world class experience for NVIDIA’s customers as well.
The integration of CrewAI with NVIDIA AI Enterprise and the NIM microservices marks a leap forward in the development of production-grade AI agents
– said Justin Boitano, Vice President of Enterprise AI Software Products at NVIDIA.
This collaboration empowers developers and organizations to harness high-performance inference capabilities for the latest foundation models, enabling scalable and secure deployment of AI agents across various industries and workflows.
A Broader Vision for AI Agents
While the demo we’re showcasing with NVIDIA NIM—AI agents that automatically write documentation for projects—is a fantastic example of what’s possible, especially given how it’s powered by the new Llama 3.3 model from Meta (absolutely amazing model), this integration is about much more than one use case. It’s about unlocking the full potential of AI agents across a wide range of industries and workflows.
AI Agents will become more autonomous, widely adopted and empower the workforce, but how fast this happens hinges on them having high precision, being easy to build, fast and universal.
By integrating with NVIDIA’s NIM platform, we show our commitment to keep providing businesses with an agent orchestration platform to tackle challenges like:
- Controllable Cost with Great Throughput: NIM can run on customer’s infrastructure, which allows for better monitoring of cost and versatility.
- Data Privacy and Security: Making sure your agents are not exposing any data and all information is respecting data locality.
- High Precision Workflow Automation: From simplifying operational processes to enabling seamless collaboration across teams, AI agents are transforming how work gets done.
- Agency with Consistent Result: Whether it’s adjusting to changing conditions in real time or learning from new data, our agents are built to stay ahead of the curve, while supporting guardrails that guarantee consistent results
Real-World Impact Across Industries
The potential applications of this collaboration are vast, touching nearly every corner of the business world. If you want to know how your company compares with the broader market check this report with insights from over 4500 professionals building AI Agents.
This latest work represents our shared commitment to pushing the boundaries of what AI can achieve. Together, we’re laying the foundation for a future where intelligent automation isn’t just a competitive advantage—it’s the standard.
At CrewAI, our mission has always been to make AI agents accessible, actionable, and transformative for everyone. With NVIDIA NIM support, we’re accelerating that vision. Whether it’s automating documentation, optimizing workflows, or unlocking new opportunities, this integration is about delivering real-world impact.
We put together a more technical demo for you to try get started by checking github or with the blueprint on NVIDIA
We’re just getting started.