AWS re:Invent 2023

Monday, November 27, 3:00PM UTC

The Anyscale team is heading to Las Vegas for AWS re:Invent Nov 27 - Dec 1! 

Visit us in booth #1190 in the Developer Solutions Zone in the Expo Hall at the Venetian to learn about our AI and ML services, powered by Ray, and how they have become the trusted choice for leading AWS customers like Samsara, Instacart, and Airbnb. With our cutting-edge tools, developers effortlessly scale their AI, LLM, and Python applications across CPU and GPU resources, achieving unprecedented efficiency and performance gains.

Join the ranks of these industry leaders and supercharge your AI endeavors with our solutions.

Register now


Attend our sessions:

Secure, Private LLMs in your Cloud with Anyscale Endpoints
Monday, Nov 27 @ 5PM | Venetian - Lighting Theater 3 (Developer Solutions Zone)
Speaker: Robert Nishihara

Generative AI Panel: Moving beyond the hyper and realizing value
Tuesday, Nov 28 @ 3:30 PM
Speaker: Ion Stocia

Speakers

Robert Nishihara

Robert Nishihara

Co-founder and CEO, Anyscale

Robert Nishihara is one of the creators of Ray, a distributed system for scaling Python and machine learning applications. He is one of the co-founders and CEO of Anyscale, which is the company behind Ray. He did his PhD in machine learning and distributed systems in the computer science department at UC Berkeley. Before that, he majored in math at Harvard.

Ion Stoica headshot

Ion Stoica

Ion Stoica is a Professor in the EECS Department at University of California at Berkeley. He does research on cloud computing and networked computer systems. Past work includes Apache Spark, Apache Mesos, Tachyon, Chord DHT, and Dynamic Packet State (DPS). He is an ACM Fellow and has received numerous awards, including the SIGOPS Hall of Fame Award (2015), the SIGCOMM Test of Time Award (2011), and the ACM doctoral dissertation award (2001). In 2013, he co-founded Databricks a startup to commercialize technologies for Big Data processing, and in 2006 he co-founded Conviva, a startup to commercialize technologies for large scale video distribution.