Anyscale, the company behind Ray, the unified framework for scalable computing, today announced Ray 2.0 and the enterprise-ready capabilities and roadmap for Anyscale’s managed Ray platform at the Ray Summit. This year’s Summit features dozens of organizations scaling their AI initiatives with Ray including Uber, IBM, Meta, Riot Games, Instacart and more. In addition, Anyscale also announced today that it has secured another $99 million in Series C funding co-led by existing investors Addition and Intel Capital with participation from Foundation Capital. The funding follows the $100 million Series C funding round announced in December 2021.
The accelerated adoption of Ray is driven by the growing gap between the demands of machine learning (ML) applications and the limitations of a single processor or a single server. In the past few years alone, the computational requirements for ML training have been growing between 10 to 35 times every 18 months. This fact, combined with the engineering complexity of scaling these workloads, has led to over 85 percent of AI projects failing in production. Ray tackles the cost and complexity of scaling head-on and is the fastest growing open-source, unified distributed framework for scaling AI and Python applications.
“Ray and the Anyscale platform have made tremendous progress in advancing the scaling of machine learning and Python workloads,” said Anyscale CEO, Robert Nishihara. “Thousands of organizations already rely on Ray for their AI initiatives and dozens of them are showcasing their use cases and breakthroughs at this year’s Ray Summit. With new innovations in Ray 2.0 and Anyscale’s platform, we are further accelerating our efforts to ensure Ray is easily accessible to any developer and to organizations of all sizes.”
“Ray is quickly becoming the industry standard for scaling machine learning, Python and AI workloads, solving one of the biggest obstacles today to realizing AI’s full potential,” said Nick Washburn, Senior Managing Director at Intel Capital. “The rapid adoption of Ray positions Anyscale to unlock the growing market opportunity in AI.”
Today, the first day of Ray Summit, the company unveiled major new developments in Ray 2.0. Highlights include:
Anyscale today also introduced its enterprise-ready Ray platform, a unified compute platform that makes it easy to build, manage, and bring to market scalable AI and Python applications using Ray. Anyscale highlights include:
Join Ray users, global organizations, and partners and learn from AI/ML technical experts at Ray Summit 2022. To learn more and view this year’s keynote talks, visit https://www.anyscale.com/ray-summit-2022.
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