Scale Your
Deep Learning Team

Share
GPU Clusters

Build More
Accurate Models

Ship DL Features
Faster

So you can
Focus on Deep Learning,
not DevOps.

Deep Learning in hours and minutes, not days and weeks.

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Ship models faster and do more science!

Our platform enables you to train DL models in hours and minutes, not days and weeks.

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Focus on research and models

Instead of arduous tasks like manual hyperparameter tuning, re-running faulty jobs, and worrying about hardware resources.

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Distributed training as it was meant to be

Our platform’s Distributed Training functionality outperforms the industry standard, requires no code changes, and is fully integrated with our state of the art training platform.

Share resources, experiments, and data
— and do it safely.

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Real-time experiment dashboard

Now you and your team can track resources, experiments, data, and more — with a UI and developer experience that is built with modern teams in mind.

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Sophisticated checkpointing and resource scheduling

Your researchers will be able to build on the progress of their team and innovate in their domain, instead of fretting over errors and infrastructure.

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Expert built for expert teams

We’re dedicated to the science of Deep Learning and are leaders in productionizing DL workflows, and we can’t wait to help your team thrive.

Your team, your infrastructure, your tools
— we support it all.

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Serious compatibility

Load data from your preferred source, experiment with your notebooks and DL libraries, so you can serve your GPU-based models with ease.

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Your infrastructure, your choice

Our platform integrates with your hardware whether you’re in the cloud or on-premises.

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Get the most out of your hardware

Determined enables all of your training-related workloads to run seamlessly on the same machines.

Recent posts

MAY 27, 2020

How to Build an Enterprise Deep Learning Platform, Part Two

MAY 12, 2020

How to Build an Enterprise Deep Learning Platform, Part One

MAY 07, 2020

Scale Your Model Development on a Budget With GCP Preemptible Instances

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