HomeResourcesScalable and Cost Efficient AI Workloads with AWS and Anyscale

Scalable and Cost Efficient AI Workloads with AWS and Anyscale

Organizations are already making significant investments in the GenAI and LLMs space. Here at Anyscale, we work closely with leading companies like OpenAI, Canva, and DoorDash to enable their ML workloads.

A common challenge that arises is how to scale and productionize GenAI and LLMs workloads cost-effectively.

In this webinar with Anyscale and AWS, you will learn how to leverage cutting-edge AWS compute instances and Anyscale's performance and cost-effectiveness capabilities to enable your most ambitious LLM and GenAI workloads at scale.

Join this session to learn more about:

  • How to utilize both CPU and GPU instances for optimal performance.

  • How to leverage AWS compute instances on Anyscale for large-scale GPU-intensive workloads.

  • Practical insights into Anyscale cluster management optimizations, including dynamic auto-scaling, scale-to-zero, on-demand to spot, and more.

Speakers

  • Art Sedighi, Sr. Partner Solutions Architect

  • Marwan Sarieddine, AI Engineer, Anyscale

Is this webinar right for me?

This technical webinar is especially useful for AI Engineers who want to explore ways to operationalize generative AI models at scale while being cost efficient.

It is also useful for Infrastructure Engineers who plan to support GenAI use cases in their organizations.

Ready to try Anyscale?

Access Anyscale today to see how companies using Anyscale and Ray benefit from rapid time-to-market and faster iterations across the entire AI lifecycle.