The Anyscale Platform™, built on Ray, Introduces New Breakthroughs in AI Development, Experimentation and AI Scaling
SAN FRANCISCO, Nov. 29, 2022 (GLOBE NEWSWIRE) -- Anyscale, the company behind Ray open source, the unified compute framework for scaling any machine learning or Python workload, today announced several new advancements on the Anyscale Platform™ at AWS re:Invent in Las Vegas, NV.
The new capabilities extend beyond the advantages of Ray open source to make AI/ML and Python workload development, experimentation, and scaling even easier for developers. Today, thousands of organizations rely on Ray open source to scale AI workloads and applications, and an increasing number are turning to the Anyscale Platform™ to access a seamless Ray development and scaling experience.
For fast development and iteration, the new Anyscale Workspaces™ environment is now available for early access. Workspaces provides a unified and seamless developer experience to scale ML workloads from a laptop to the cloud with no code changes. In a single environment, developers can now build and move workloads to production while still leveraging familiar tools.
Furthermore, for accelerated development and rapid iteration, the Anyscale Platform™ adds the ability to startup clusters up to 5x faster than Ray open source, so developers can further speed up iteration, experimentation and deployments; job scheduling automation including auto-scaling, alerting, auto-retries and more; and custom cluster environments to provide organizations even more deployment and hosting flexibility.
“We are thrilled to see customers experience the benefits of the Anyscale Platform, which make Ray even more powerful and simple to use,” said Robert Nishihara, CEO and co-founder of Anyscale. “Our customers have gained tremendous value from Anyscale, and I can confidently say that we’ve just touched the tip of the iceberg on making Ray even more impactful for developers and orgaizations who need to accelerate AI development and experimentation and to remove the challenge of AI scaling.”
“Enabling innovations like Anyscale Platform, which are igniting a golden age in AI and machine learning, is what the AWS tech stack was built for,” said Howard Wright, VP and Global Head of Startups, AWS. “Making it easier for companies to build machine learning models that are mature, reliable, and scalable with as little as two lines of code, is the type of added value that we are excited to help bring to the market with Anyscale and Ray.”
Learn more about how AWS is enabling Anyscale and Ray here.
New Capabilities and Highlights:
As one team in a manufacturing conglomerate said, “Anyscale Workspaces allows me to go from development, to experimenting at scale, all the way to production all within the same environment. Workspace reduces context switching for us by 50%, and integrates easily with the other tools we use.”
Anyscale is showcasing at AWS re:Invent on November 28 - December 2, 2022, in Las Vegas, Nevada. Visit Booth 1137 at the Sands Expo Center at the Venetian to learn more about Ray, a unified compute framework for AI and Python scaling, and the Anyscale Platform™, a unified compute platform built on Ray. See why organizations globally are adopting Anyscale and Ray to speed development and effortlessly scale AI/ML and Python workloads and applications.
Contact and press inquiries: [email protected]
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