Deep learning management platform

Machine Orchestration, Version Control and Pipeline Management for Deep Learning

THE DEEP LEARNING PLATFORM
FOR DATA SCIENTISTS

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Zero Setup
Infrastructure

Train on a hundred GPUs at the click of a button, with zero setup.

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Limitless
Performance

Run parallel hyperparameter sweeps & distributed training in minutes.

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Track
everything

Version control with a full audit trail; from input data to deployment endpoint.

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Integrate
Everywhere

Run everything from TensorFlow & Keras to bash scripts on any Docker container.

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Deep Learning
The Right Way

Build models the way Uber, Google, Netflix etc do it. Standardize & delete home-made script.

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Full
Transparency

Visualize every training session and monitor in the UI, command line or via the API.

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TRY FOR FREE

Book a demo and we'll set up everything for you. Alternatively create an account and get started in minutes. For help, contact us through the chat on the website, via email at info@valohai.com or on our Slack channel.

Create an account Or book a demo

Trusted by 700+ data scientists

Filtering dangerous and illegal content from online communities

Engaging employees and eliminating repetitive tasks in France

Industrial IoT, digitalization and artificial intelligence environments

Machine vision assisted structural and dimensional measuring

Creative digital solutions and services for customer companies

Managing industrial internet cloud platform and sensor networks

Consultancy and agency services for forward-thinking businesses

The largest private AI lab in the Nordics, tailor-made AI-driven solutions

The largest information service provider for academia and research institutes in Finland

Works with

Runs on

DEEP LEARNING
BUILT ON VALOHAI

Skillup had machine learning version control from the beginning

Real world example of deep learning: Sexual abuse material detection

Urban waterways: The next generation of autonomous transportation

Ready to dive deeper?

Free for education & research!

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Download a Free eBook: Deep Learning in 2019

If 2017 was about data exploration and data lakes, 2018 was about model exploration. This year, it is time to move from experimentation to production. Learn how to prepare data science code to production and build reproducible experiments, what is the ideal team composition and more. Download the eBook >