Heading to AWS re:Invent? Anyscale is bringing more ways than ever to learn, connect, and accelerate your AI roadmap for 2026 — just as we’ve done for AWS customers like Canva, Coinbase, TripAdvisor and more. 

LinkVisit Anyscale at Booth #1854

Swing by for a quick demo, grab new stickers and swag, or get a one-on-one walkthrough of the latest Ray and Anyscale innovations including Lineage Tracking for streamlined MLOps, Anyscale Runtime for faster, cheaper and more reliable Ray processing or the Global Resource Scheduler to streamline and optimize orchestration across your compute including GPU reservations, on-demand and spot instances.

Look for us at booth #1854 near Theater 3 - Builder’s Showcase. 

LinkBook time with our team

Began exploring with Ray and looking to make it easier for developers to self-serve clusters, improve reliability at scale, or squeeze more performance from your GPUs? Meet with our GTM and field engineering teams for a focused, 1:1 consultation on these and other AI infrastructure topics.

Book time with our team: https://bit.ly/meet-anyscale

LinkJoin us at Intel Booth and Executive Events

If you’re sprinting between sessions, stop by Intel’s booth for a fast update:

• Talk: Scalable Compute for Your AI

• When: Wednesday, Dec 3 | 3:30 PM – 3:45 PM

• Where: Intel Booth (#1010 next to Anthropic)

For executives exploring how to scale AI efficiently and drive ROI, Intel is also hosting a breakfast roundtable:

• Executive Roundtable: Ray Data + Intel Xeon: From Data to Inference at Scale

• When: Thursday, Dec 4 | 10:30 AM – 11:30 AM

• Where: Palazzo tower - More details shared to be shared with those registered here. Once you complete the general registration you will be able to sign up for the Anyscale as well as other Intel-hosted sessions individually.

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Learn about Ray + Kubernetes for AI and LLMs in Production

This year, Ray – the open-source framework created by the Anyscale team – is featured in multiple technical sessions led by the AWS team. Here are two worth checking out:

LinkScalable and resilient distributed AI with Ray on SageMaker HyperPod (AIM369)

• Type: Chalk Talk

• When: Wednesday, Dec 3 | 5:30 PM – 6:30 PM PST

• Where: MGM Grand

• Ideal for: Data scientists and MLEs working on large model training

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vLLM on AWS: testing to production and everything in between (OPN414)

• Type: Breakout Session

• When: Wednesday, Dec 3 | 5:30 PM – 6:30 PM PST

• Where: Caesars Forum

• Ideal for: ML engineers and architects working on scalable LLM deployments.

Want hands-on practice after attending? Join our upcoming Intro to Ray Hands On Lab. 

LinkTL;DR

• Swing by Booth #1854 

• Schedule 1:1 time with our Ray experts. Book here

• Catch us at the Intel booth on Dec 3 @ 3:30PM or exec roundtable Dec 4 @ 10:00 AM

• Join an AWS-led Ray session

Missed us? Join the virtual hands-on lab on Dec 11