Outerbounds provides a structured foundation that AI agents need to produce high-quality code quickly. To illustrate the point, the article shows an example of a complete, production-grade system built by Claude on Outerbounds.

The new Deployments API allows you to create container images and deploy online services and agents programmatically at scale. Read the article for practical examples, including embedded Claude Code!

Learn how AI agents can be used to add visualizations and custom UIs to ML/AI projects in minutes, with a high degree of confidence in their correctness.

This article outlines Metaflow’s design philosophy and walks through its core features that you can use to assemble your own tailored ML/AI platform.

Our CoreWeave integration lets you seamlessly attach high-performance GPUs to your existing cloud account - without incurring data egress fees or hitting I/O bottlenecks. See the full article to learn how it works.

The just released Metaflow 2.18 comes with the long-awaited support for conditional and recursive steps, needed by agentic systems. Take a look at a cool example showing autonomous deep research agents in action!

This article introduces autonomous inferencing - a way to process large volumes of prompts or run compute-intensive agentic systems with performance that surpasses off-the-shelf inference solutions - take a look at the benchmarks!

Today, we’re releasing a major upgrade to Outerbounds, including real-time inference, agentic deployments, first-class asset and model tracking, and powerful new APIs and UIs for custom evaluations.

See how the latest set of container optimizations in Outerbounds allow you to reduce task startup latencies by 4x or more.

Thanks to our integration with Nebius, you can add a cost-effective pool of top-notch GPUs in your environment without having to setup new infrastructure, change policies, or migrate data.

Use the new @checkpoint decorator in Metaflow to save progress and recover easily if a training or fine-tuning task fails

If you are using Snowflake, this article is a must-read. It features 7 key patterns showing the benefits of using Snowflake and Outerbounds together.

Learn how to unify compute across Slurm, Kubernetes, and various clouds using Outerbounds, and the new @slurm decorator.

Learn what makes Outerbounds tick under the hood and get answers to FAQs asked by platform engineers.

Learn how Fast Bakery, a new feature in Outerbounds, helps you containerize ML/AI projects much faster than typical alternatives.

We are thrilled to announce our presence at KubeCon North America 2024, happening from November 12–15 in Salt Lake City, Utah.

Outerbounds has joined Google Cloud Partner Advantage, bringing our full-stack ML platform to Google Cloud Marketplace to help teams streamline and scale machine learning workflows using Google Cloud services like Vertex AI and Google Kubernetes Engine.

Outliers is a new podcast from Outerbounds that offers real-world lessons from leading experts in machine learning and data science, designed to help you build and scale impactful AI/ML systems.

Outerbounds is HIPAA compliant, reinforcing our commitment to secure, scalable machine learning solutions for the healthcare industry.

Our recent fireside chat with Hailey Schoelkopf from EleutherAI explored the future of open-source AI, highlighting the critical role of transparent research infrastructure, the importance of robust evaluation tools, and the potential of localized and multimodal models to serve diverse communities.