A collection of responses from an AMA event where Chip Huyen and Ville Tuulos addressed questions about machine learning infrastructure.

We’re excited to be in Chicago later this month for KubeCon North America.

Load and process tabular data at lightning speed using Apache Arrow and Metaflow.

How to run massively parallel Stable Video Diffusion for production use cases, producing new images and videos automatically in a highly-available manner.

Join Jacopo Tagliabue and Hugo Bowne-Anderson in a live code along session to dive into how to build a production-grade recommender system.

Reactive, configurable, cheaper LLM fine-tuning with Metaflow

Ethan Rosenthal joins Hugo to discuss how you can build your career and the layers of a full machine learning stack in your organization.

We use Metaflow to train Dolly, to show an example of fine-tuning LLMs and what it takes to use these models in practice.

An interview with Federico Bianchi, a postdoctoral NLP researcher at Stanford exploring the boundaries of large language models.

Using the new event triggering feature in Metaflow, you can compose systems using workflows

A fireside chat about product management for ML products across various industries.

Outerbounds is now available on all cloud marketplaces. Learn why and how to develop ML/AI systems quickly without cloud lock-in.

By reading a new book, Effective Data Science Infrastructure, you will learn how to set up infrastructure for ML and data science applications, similar to the stack that powers Netflix and hundreds of other modern companies.

How can you leverage modern tools to apply a state-of-the-art machine learning infrastructure stack in practice?

Today, we release support for cost-efficient distributed training and other high-performance computing workloads in Metaflow. Read this post for the backstory.

Learn how you can get started with full-stack ML today in a hands-on, project-driven course using production-grade ML systems.

Explore four major new features in the Outerbounds Platform

How to get started today with ML in production: tools, workflows, and mental models.

Use new Metaflow Sandboxes to evaluate Metaflow and the full infrastructure stack behind it in the browser without having to install anything locally

A conversation with Russell Brooks and Hugo Bowne-Anderson on the journey to reproducible and automated ML-powered software.