Outerbounds, the developer of Metaflow, a leading open-source ML/AI framework co-created with Netflix, unveiled key platform enhancements. The new features support the full lifecycle of ML/AI projects, enabling enterprises to:
- Develop ML/AI systems faster and securely within their own cloud environments using cutting-edge development tools. The new features include built-in solutions for software supply chain management, allowing container images to be baked in seconds, drastically simplifying and speeding up ML/AI experimentation and production deployments.
- Scale the training of even the most demanding models across GPU clusters with robust fault-tolerance.
- Deploy highly available production workflows on Outerbounds’ managed platform, including state of the art GenAI models, ensuring SLA guarantees and the security required by regulated industries and innovative startups.
The platform manages a wide range of use cases, from supervised machine learning tasks like fraud detection and medical image analysis to cutting-edge generative AI applications, including private large language models (LLM), powered by state-of-the-art models from NVIDIA NIM microservices, seamlessly integrated into the platform.
Savin Goyal, CTO of Outerbounds, noted, “With open-source Metaflow, which we launched at Netflix five years ago, we’re uniquely positioned to collaborate with hundreds of leading ML/AI organizations like Amazon, Ramp, Autodesk, and Mozilla – and of course Netflix. Together, we’ve developed the features they need to power real-world ML/AI use cases today. These features are now available to Outerbounds customers, enabling them to develop and deliver projects significantly faster, giving them a competitive edge in the race to drive sophistication and efficiency across industries.”
SOURCE: PRNewsWire