Natural Language Processing

Quickly Train NLP Models At Any Scale

Achieving state-of-the-art natural language processing requires compute at an unprecedented scale. More than data, the compute necessary to properly train, tune and serve an effective NLP model can be massive — more than 5x increase every year.

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This is why a scalable compute platform is necessary to enable better, more efficient NLP models that are effectively optimized to deliver the best results. 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

The Right Way to Scale for NLP

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 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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