Lambda and Oumi partner for end-to-end custom model development
Enterprises can now build and deploy custom models for their specific use cases 100x faster, with 10x better cost efficiency, and superior accuracy
TL;DR: Enterprises are stuck using large, closed off-the-shelf models that deliver unreliable, slow, and costly solutions with limited privacy, security, and control. Small, custom models are the solution, but they typically require deep expertise and months of effort. Today, we’re announcing a partnership between Oumi and Lambda to provide a complete solution for end-to-end model development and deployment, enabling custom AI in hours, not months, with real results such as 70% cost reduction and full control over technology and data privacy.
Generative AI has already transformed our daily lives, yet we’ve barely scratched the surface of its potential. What’s holding it back? Enterprises are stuck using large, closed off-the-shelf models (GPT, Gemini, Claude) that deliver unreliable, slow, and costly solutions with limited privacy, security, and control. While small custom models are the solution to achieve high quality, low cost, low latency, full privacy, security, and control, they’re far from easy to build; they typically require deep expertise and months of effort. Enterprises often lack one or both of these typical requirements.
A complete stack for custom model development
Today, we’re announcing a partnership between Oumi and Lambda for providing global enterprises with a complete solution for end-to-end model development and deployment. With Oumi, AI teams can build custom models dramatically faster and easier than ever before. They can then immediately deploy them on Lambda powered by NVIDIA AI infrastructure to achieve the speed, scale, and reliability production demands. Our platforms are already helping enterprises across healthcare, finance, customer support, media, commercial services, and more.
How a healthcare provider cut costs by 70%
A leading healthcare provider shows the value of using Oumi and Lambda to build and deploy high-performance custom AI models. They created an agent to extract information from medical records and automate processing. Out-of-the-box models, such as OpenAI’s, performed poorly on this task. So they used Oumi to build small custom models specialized for each part of their application. The results: 70% cost reduction, 20% improvement across quality metrics, and full control over their technology and data privacy.
How Oumi automates model development
You can achieve similar results using Lambda and Oumi. To build your own custom model, simply bring a task definition and any related data you have. Oumi automatically builds a comprehensive test set and evaluations, producing a side-by-side comparison of open and closed models using data synthesis when needed.
Next, Oumi’s intelligence finds the places where your model is failing and creates a training set to improve your model performance. Finally, Oumi automates fine-tuning to produce a custom model, intelligently selecting base models, tuning methods, and parameters.
The cycle repeats until you achieve the desired performance. Think of it as AI agents that turbocharge your workflow with automation and intelligence at every step of model development. The result: custom AI in hours, not months.
Lambda: GPU infrastructure for production AI
Deploying custom models is only as good as the infrastructure behind them. This is where Lambda shines. Lambda Cloud is built by engineers and for engineers, providing a highly optimized GPU platform powered by NVIDIA accelerated computing that supports the full lifecycle of modern AI systems. Whether you’re serving lightweight fine-tuned models or scaling large fleets of specialized agents, Lambda delivers the performance and flexibility required for real-world production workloads.
With industry-leading throughput, ultra-low latency networking, and predictable performance at scale, Lambda ensures your custom-trained models run exactly as designed. The Lambda platform includes secure VPC-isolated environments and seamless orchestration across clusters of NVIDIA Hopper GPUs.
Given all of these features, it came as a no-brainer for Oumi to partner with Lambda for deploying custom models.
Intelligence and infrastructure: the complete stack
This partnership breaks the bottleneck: AI teams can now build and deploy custom models 100x faster. Oumi’s intelligently designed platform embeds deep technical expertise from its engineers and research scientists, enabling teams to develop custom AI in hours instead of months. Lambda’s GPU infrastructure delivers the speed, scale, and reliability production demands. When issues arise with models “in the wild,” Oumi resumes the development cycle, fixes issues, and redeploys to Lambda’s cloud. This is only possible through Oumi and Lambda’s tight integration of AI intelligence and infrastructure.
Ready to transform your AI development?
Get started today and see what Oumi and Lambda can build together. There has never been a better time to develop and deploy fast, efficient, and high-performance custom AI solutions.
Being able to scale and iterate so quickly is huuuge