Dare I say that Metaflow is making me like Kubernetes at least a little bit again.

You can still register for Nebius × @OuterboundsHQ webinar on building custom LLMs: https://t.co/xKwp4NRLbx. Join us tomorrow at 10 AM PDT. We’ll cover a modern stack for developing domain-specific models using the latest post-training tricks, including custom reward functions.

Ever wondered how much CPU, memory, GPU, disk, or network traffic your @MetaflowOSS steps use and how to optimize resource allocation? The open-source resource-tracker Python package does that (and more) with seamless #metaflow integration! Read more at https://t.co/dxt0XVH6Qw 🚀

Metaflow simplifies orchestration, optimizes compute and integrates with Airflow to streamline workflows. @SavinGoyal from @OuterboundsHQ shares insights on scaling infrastructure and lessons from his time at @netflix. Link in the comments. #AI #MachineLearning #Airflow

Nebius and @OuterboundsHQ form strategic partnership to deliver a full-stack solution for business-critical AI systems 🔀 Read the blog to find out more and start using the integration: https://t.co/sUHmgXf2KJ That’s right: Nebius AI Cloud, the ultimate cloud for AI innovators,

@rblalock I love @MetaflowOSS docs. Very well organized, clear, easy to navigate.

Learn how we conduct config-driven experiments and deployments at scale, and how you can do the same at home with a new Config feature in Metaflow!

If you're in the Bay Area, join us tomorrow evening at GitHub's SF office! Our Eddie Mattia will be discussing fine-tuning of LLMs using Metaflow, covering models ranging from 1 billion to 405 billion parameters 💪 RSVP @

AI meetup on Dec 10 at GitHub SF! Outerbounds' Eddie Mattia will cover cost-efficient fine-tuning of LLMs (1B–405B params) using Metaflow, showing how it integrates with workflows and cloud tools. RSVP:

@anushkmittal big time if it good for Netflix, is good for the rest of the world, for sure.

I reimplemented the entire curriculum of my Machine Learning program. I'm now using @OuterboundsHQ and @MetaflowOSS as the backbone of every pipeline in the program. It's a combination of open-source tools with technology that supports developing scalable, real-world systems.

Distributed training just got easier on Outerbounds! Now generally available, it supports multi-GPU setups with [@]torchrun and [@]metaflow_ray. Perfect for large data and models. Train efficiently, even at scale! 💡 #AI #DistributedTraining

Netflix uses data science and machine learning across all facets of the company and our Machine Learning Platform powers a wide array of applications ranging from all the way from infrastructure to content creation https://t.co/98esoV8S4d

Join us at #KubeCon for a healthy dose of AI Infrastructure on Kubernetes 🏗️

🚀 Epic #MLMixer at Exploratorium! 🌌 Insightful talks by @vtuulos, @sh_reya 🎓, @GokuMohandas of @anyscalecompute, @nikhilaravi of Meta, & @sarahcat21 of @AmplifyPartners! Fun & deep dives into genAI & LLMs! Thanks @OuterboundsHQ & AGI House for hosting! 🌟 #AI 🤖

What a panel! On the past, present, and future of genAI w/ - @nikhilaravi of meta - @GokuMohandas of @anyscalecompute - @sarahcat21 of @AmplifyPartners - academic cal bear eecs phd @sh_reya 🤌

Kicking off machine learning @ the exploratorium tonight is @vtuulos, @OuterboundsHQ CEO! Talking modeling, deployment, versioning, orchestration, compute, data, oh my!

Unsere #MachineLearning (ML)-Ingenieur:innen und Datenwissenschaftler:innen haben kürzlich ein neues ML-Modell entwickelt. Welche Rolle hierbei #Metaflow spielt und vor welchen Herausforderungen sie standen, erzählen sie in unserem Tech-Blog. ➡️

A major release, Metaflow 2.9, is out today 🎉 New: Build large, advanced ML systems by connecting flows and make them react to events in real-time! 🛰️ https://t.co/mmNKyzfWaY

Our (boring) prediction: #LLMs and #AI will become tools amongst other tools in the companies' tech stack (albeit super powerful ones 🦸). @MetaflowOSS helps manage the whole ML stack, LLMs included. Read more here: https://t.co/bwZGS8VrmP