AI & ML from the Trenches: A Climate Tech Special – Equilibrium Energy and Perennial Earth
A summary of recent talks from enterprises building machine learning platforms for Climate Tech with Metaflow.
Fortnightly posts covering major Metaflow and Outerbounds releases, community events, case studies, and all things machine learning infrastructure.
A summary of recent talks from enterprises building machine learning platforms for Climate Tech with Metaflow.
This post introduces high-level trends at the intersection of biology and AI, discusses new (and old) technical challenges in building reproducible and scalable systems for AI-driven computational biology, and how frameworks like Metaflow can help address them.
Join Hugo Bowne-Anderson for two live courses on building full-stack machine learning systems.
You can now apply to access cloud GPUs directly in NVIDIA's DGX Cloud through Outerbounds - just add @nvidia to access GPUs at scale!
Outerbounds is now available on all cloud marketplaces. Learn why and how to develop ML/AI systems quickly without cloud lock-in.
Outerbounds is going global in 2024. This page shows our event calendar for spring 2024.
We share a six-step process for understanding cloud costs, attributing, and minimizing them. The process is conveniently integrated in the Outerbounds platform.
There are many ways to deploy models and perform inference. Here, we share our decision rubric for model deployments using LLM inference as an example.
Metaflow and Outerbounds were at PyData Global! We hosted sessions on full stack ML and emphasized discussions on the evolution of the compute layer of the ML stack. This post organizes the presentations in a quick choose-your-own-adventure read.
The future will be powered by dynamic, data intensive systems - built by happy humans using tooling that gives them superpowers
Get started for free