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How to Simplify ML Development, Scaling, and Deployment in Production

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"How to Simplify ML Development, Scaling, and Deployment in Production"

While AI success hinges on starting small and iterating quickly, the current development lifecycle is not conducive to rapid experimentation.

Read the eBook to learn how Anyscale and AWS offer benefits like:

  • Improved scalability
  • Unified development and production environments
  • An easy path to operationalizing workloads

About Anyscale:
Anyscale currently supports all of the instance types offered by AWS and provides an easy way
to architect workloads on top of a heterogeneous Ray cluster in Python. With more than 600
compute instance types, you can find exactly the right combination of resources for your Ray
workloads. Anyscale users benefit from the better price/performance offered by adoption of
these processors, leading to higher throughput, lower latency, and higher cost savings.

Offered Free by: Anyscale
See All Resources from: Anyscale

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