Lawrence Jengar
Nov 26, 2025 07:44
Anyscale highlights AI solutions with Ray at AWS re:Invent 2025, featuring demos, talks, and executive events for enhanced machine learning operations.
Anyscale is set to present its latest advancements in artificial intelligence (AI) at the upcoming AWS re:Invent 2025 conference. The company, known for its contributions to the open-source framework Ray, aims to provide attendees with insightful experiences through demonstrations, talks, and executive roundtables.
Visit Anyscale at Booth #1854
Attendees can visit Anyscale at booth #1854 to explore the latest innovations in Ray and Anyscale’s offerings. The company will showcase features such as Lineage Tracking for streamlined machine learning operations (MLOps), Anyscale Runtime for efficient Ray processing, and the Global Resource Scheduler for optimizing compute orchestration. Visitors will also have the opportunity to participate in demos and collect exclusive merchandise.
Book a 1:1 Meeting with Anyscale Experts
For those seeking personalized guidance, Anyscale offers one-on-one consultations with their go-to-market and field engineering teams. These sessions will focus on enhancing AI infrastructure, improving reliability at scale, and maximizing GPU performance. Interested parties can book their appointments via the company’s scheduling link.
Join Intel Booth and Executive Events
Anyscale will also collaborate with Intel for additional sessions. Highlights include a talk on scalable AI compute at the Intel booth on December 3, and an executive roundtable discussing Ray Data and Intel Xeon for efficient AI scaling on December 4. These events promise to provide valuable insights for executives looking to enhance AI operations.
Explore Ray + Kubernetes for AI and LLMs in Production
Ray will be featured in several AWS-led technical sessions, showcasing its capabilities for scalable and resilient distributed AI. Notable sessions include a chalk talk on distributed AI with Ray on SageMaker HyperPod and a breakout session on vLLM deployments. These sessions are ideal for data scientists and machine learning engineers focused on large model training and scalable deployments.
For those unable to attend the conference, Anyscale will host a virtual hands-on lab on December 11, providing practical experience with Ray’s scalable AI solutions.
For more detailed information, visit the Anyscale blog.
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