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Develop innovative AI-powered apps

Experiment, innovate, and develop unique AI-powered apps. Take control of your models with custom AI workflows.

Use the latest open-source foundation models from HuggingFace. Fine-tune them PyTorch and Deepspeed using your own instructions and datasets.

Train and fine-tune on GPU clusters

Experiment on a GPU-powered cloud workstation, fine-tune foundation models and LLMs on an auto-scaling GPU cluster or use your own GPU resources. Parallelize training over multiple GPUs, monitoring utilization right in the UI.

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Operationalize AI

AI doesn’t build and run itself. You need the full stack of ML infrastructure to develop and deploy production-grade AI workflows.

Use Metaflow to develop workflows, feed them with data, run compute, and leverage versioning to track lineage from fine-tuned models to their foundations.

Trusted by the best

Metaflow is such an amazing tool!
Ben Brandt
Software Architect
,
Eventellect
Have been using Airflow in prod for several years now & looking forward to making a switch to Metaflow
Jacqueline Buros Novik
Head of Data and Analytics
,
Generable
In six weeks, a team that hadn’t used Metaflow before was able to build an ML-based model, A/B test its performance, which handily beat the old simple approach, and roll it out to production.
Thanasis Noulas
VP of Engineering
,
Trade Republic
Metaflow has made my daily life as an ML engineer so much easier, especially as we scale our efforts. I've never worked with a framework that works out of the box as well as metaflow.
Mike Bentley Mills
Senior Machine Learning Engineer
,
Valar Labs
Metaflow was recommended at work. I spent some time with it today... it's amazing. Their tagline is on-point: "Build and manage real-life data science projects with ease."
Martin Beierling-Mutz
Full Stack Developer
,
Heroic Story
The MLOps piece of tech I'm most excited about is @MetaflowOSS. Just from reading the docs I'm amazed at how a large, enterprise company like Netflix seems to have really, really grasped the developer experience in the way I'd only expect 'smaller' projects to do.
Mark Goodhead
Chief Executive Officer & Co-Founder
,
Synacti
we’ve been able to entirely switch over our research experimentation process to rely on Metaflow with great success.
Kelly Davis
Software Engineer
,
CNN
There's a lot of good ideas made practical in Metaflow to help ML projects and developers focus on what's important.
Matthew Seal
Principal Engineer
,
Confluent
"As an informal estimate, our #datascience team believes they were able to test twice as many models in Q1 2021 as they did in all of 2020, with simple experiments that would have taken a week now taking half a day."
Kelly Davis
Software Engineer
,
CNN
Metaflow - what a great tool!
Daniel Deychakiwsky
Senior Machine Learning Engineer
,
Spotify
Our complex, multi-stage workflows are codified and orchestrated using Metaflow.
Manoj Ganesan
Software Architect
,
23andMe
We are saving over 90% of the @awscloud cost in our #artificialintelligence model training phase. We've just finished the automation of our AI pipelines through the implementation of @MetaflowOSS , and the migration from http://H2O.ai
Rafael Garcia Navarro
Chief Data Scientist
,
Provenir
I've been extremely impressed by the Metaflow team. They have built something that's loved by everyone, so much so that they have Metaflow sad hours to encourage people say what can be improved. In my conversations with our users, I've often heard that Metaflow is one of the best software Netflix has ever built.
Nurcan Sonmez
Engineering Manager
,
Netflix
Very impressive level of polish in the Metaflow docs/tutorials. Pretty incredible how many details have been abstracted away by Metaflow.
Howard Wu
Analytics Consultant
,
Freelance
A space I'm excited about: 'open source on top of public cloud tech.' Instead of using open source libraries (which you have to run & scale, e.g. RabbitMQ), it uses infinitely-scalable off-the-shelf cloud services (e.g. SQS). Metaflow is a good example. https://docs.metaflow.org/metaflow-on-aws/metaflow-on-aws
Zack Kanter
Founder & CEO
,
Stedi
I really appreciate the clean syntax and the seamless transitioning from dev to dev-at-scale to prod-at-scale
Fabien Pertuy
Machine Learning Principal Scientist
,
sanofi
❤️ metaflow! The people-first API design is fantastic.
Adam Laiacano
Principal Engineer, Recsys & MLOps
,
NVIDIA
Built with the core idea of allowing ML engineers and data scientists to use Python as native way to work, this friendly approach has tremendously boosted Carsales productivity in ML
Samuel Than
Senior MLOps Engineer
,
Carsales
really love the event triggering feature in Metaflow
Sounak Mukherjee
Machine Learning Engineer
,
Staple AI
Thanks for a fantastic product ❤️
Sam Thelin
Principal AI Scientist and Technical Lead
,
SAP
Bumped into Metaflow at work, plus @HamelHusain seems excited about it, so I am excited about it 🙂 But after watching the video, wow 😲
Radek Osmulski
Senior Data Scientist
,
NVIDIA
I find it *extremely* satisfying that the tutorials for Metaflow (which was originally developed at Netflix) are organised in seasons and episodes 🤓
Francisca Concha-Ramirez
Data Engineer
,
BeZero Carbon
I've been using Metaflow for years now. I can't endorse it nor the people behind it enough.💥Parallelize hyperparameters across containers trivially 💥Persist, retrieve, reproduce results and data artifacts from forever ago 💥Stand up an API that serves resulting data
Will High
Senior Director, Data Science
,
Tala
Thanks for Metaflow: it's a pleasure to use!
Laure Vancau
Biomedical Data Engineer
,
Swiss Data Science Center
Metaflow records the result of every step to S3. IMO the ability of metaflow to expose individual components of a complicated process is a big deal. Like, a really big deal.
David Neuzerling
Manager, Econometrics
,
Mastercard
Metaflow has really been helping in speeding up our ds workflows
Utkarsh Vashisth
Machine Learning Engineer
,
sanofi
Maybe we'll be talking about this as the "Airflow for Data Science" in a few years. Not replacing Airflow, but in the sense that it's the default standard for orchestrating data science projects like Airflow does for data engineering pipelines.
James Densmore
Director of Engineering
,
HubSpot
wow I didn't realize how much of the infrastructure needs Metaflow takes care of!
Goku Mohandas
Machine Learning Lead
,
Anyscale
I haven’t yet heard a bad thing about metaflow.
Adam Laiacano
Principal Engineer, Recsys & MLOps
,
NVIDIA
Love metaflow!
Vladimir Pasquier
ata/MLOps Engineering Lead
,
Prolaio
The team has shaved months off the time it takes to build a productionized machine learning model, and at the same time improved the overall collaboration of the data science organization with other departments
Nicole Murphy
Executive Vice President
,
Realtor.com
Very impressive work! Easily mix multiple Python virtual environments and compute resources within a single pipeline 🤯 using #Metaflow
Samuel Sinayoko
Machine Learning Engineer (ED)
,
J.P.Morgan
Outerbounds Platform has proven to be transformative for us. The platform has allowed us to execute and train models without the burden of worrying about infrastructure
Soma S Dhavala, PhD
Director
,
Wadhwani AI
We've had a really great experience transitioning from Argo workflows to Metaflow
Pavan Ramkumar
Director of Machine Learning
,
Herophilus
@MetaflowOSS rules!
Jacopo Tagliabue
Founder
,
Bauplan
By unifying our data and ML pipelines we can now automatically train models when an underlying warehouse table is updated which drastically improves efficiency and collaboration.
Marc Millstone
Director of Engineering
,
Flexport
Been using metaflow for a while now, and love it. At its best, it hugely speeds up our development cycles
Harvey Pratt
Chief Executive Officer
,
The Promenade AI
Metaflow has helped us avoid the anti-pattern of needing to push code to find out if something works
David Tan
,
REA
i love metaflow.
Deniz Zorlu
Member of Technical Staff
,
Contextual AI
One of the things I liked about Metaflow from Netflix is their clear documentation on "Dealing with Failures": it's important to raise awareness about "retry" logic, transient/permanent failures, idempotent operations, etc.
Emre Sevinç
Co-Founder & CTO
,
TM Data ICT Solutions
This diagram is pure perfection h/t @moritzplassnig How much data scientist cares vs how much infrastructure is needed 🤣
Shomik Ghosh
Partner
,
boldstart ventures
What happened to Kubeflow? So many companies are migrating away from it because it's a pain to configure and maintain. I find it hard to recommend Kubeflow anymore. Right now, Metaflow seems to be a much nicer option.
Santiago Valdarrama
,
Tideily
MetaFlow has a really fantastic API. https://docs.metaflow.org/metaflow/basics.  Most DAG systems could learn from it.
Tristan Zajonc
Co-Founder & CEO
,
Continual
Outerbounds was like Metaflow, but with a ‘plus plus’—it made everything easier.
Camelia Hssaine
Head of Data Science
,
Black Crow AI
The end-to-end ML management in Outerbounds—event triggers, experiment tracking, managed artifacts—was a game-changer for our small team.
Aman Ibrahim
Founder / CEO
,
Deeptrust
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