Python Deep Learning

Build the Future With Scalable Python
ML Platforms

Many organizations now have machine learning experts and teams building infrastructure, tools, and abstracted layers so that developers and data scientists can iterate and execute simply and effectively on their machine learning (ML) workloads.

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But with the variety of ML use, both internal and external, comes the difficulty of building Python ML platforms that can meet the needs of different and sometimes conflicting requirements. What’s needed are flexible and scalable machine learning platforms that can handle:

Disparate inputs

Unique data types

Varied dependencies

And complex integrations

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Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud — with no changes.

Why everyone is turning to Ray

What You Need for the Right Scalable ML Platform

Scale with a Click

Rely on a robust infrastructure that can scale up machine learning workflows as needed. Scale everything from XGBoost to Python to TensorFlow to Scikit-learn on top of Ray.

Train, test, deploy, serve, and monitor Python machine learning models efficiently and with speed with Ray and Anyscale.

An Open, Broad Ecosystem

Gain to the most up-to-date technologies and their communities, don’t limit what libraries or packages you can use for your models. Load data from Snowflake, Databricks, or S3. Track your experiments with Weights & Balances or MLFlow. Or monitor your production services with Grafana. Don’t limit yourself.

Iterate quickly

Reduce friction and increase productivity by eliminating the gap between prototyping and production. Use the same tech stack regardless of environment.

Greg Brockman | Co-founder, Chairman, and President

"At OpenAI, we are tackling some of the world’s most complex and demanding computational problems. Ray powers our solutions to the thorniest of these problems and allows us to iterate at scale much faster than we could before. As an example, we use Ray to train our largest models, including ChatGPT."

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Explore how thousands of engineers from companies of all sizes and across all verticals are tackling real-world workloads with Ray and Anyscale.

What Users are Saying About Ray and Anyscale

TESTIMONIALS

Shuning Bian | Chief Architect

“Ray and Anyscale have been instrumental in scaling Dendra Systems’ machine learning platform to handle our ever increasing dataset of ultra-high resolution UAV imagery.”

Trusted by Leading Organizations

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