Anyscale

17 December 2019:

Distributed programming platform Anyscale has raised $20.6 million in Series A round of funding. The funding round was led by Andreessen Horowitz (a16z).

NEA, Intel Capital, Ant Financial, Amplify Partners, 11.2 Capital, and The House Fund also participated in the funding round.

The company will use the fresh capital to expand its leadership team and amplify its contribution to the open source community.

Robert Nishihara, co-founder and CEO, Anyscale, said, “As the adoption of Ray has grown, we’ve seen it become the open source project of choice for scaling complex distributed applications from a laptop to a datacenter. As distributed computing continues to grow, the natural next step is to bring Ray to more organizations that can benefit from its capabilities.”

Robert Nishihara, added, “Our mission is to help more developers, enterprises and organizations solve their problems without having to worry about scalable infrastructure and without needing to be experts in distributed computing. With this investment, we’ll fortify our ability to continuously improve Ray and grow our team to make this mission a reality.”

Moty Fania, Principal Engineer and Chief Technology Officer for Intel IT’s Enterprise and Platform Group, said, “Intel IT has been leveraging Ray to scale Python workloads with minimal code modifications. With the implementation into Intel’s manufacturing and testing processes, we have found that Ray helps increase the speed and scale of our hyperparameter selection techniques and auto modeling processes used for creating personalized chip tests. For us, this has resulted in reduced costs, additional capacity and improved quality.”

Ben Horowitz, co-founder and general partner, Andreessen Horowitz, said, “Ray is one of the fastest-growing open source projects we’ve ever tracked, and it’s being used in production at some of the largest and most sophisticated companies. Its massive popularity is both a testament to the importance of the problem it is tackling and how well the team behind it has executed on building a product that works and does what it claims. We look forward to working with Robert, Philipp, and Ion to bringing Anyscale to users around the world.”

Ion Stoica, co-founder, Anyscale, said, “Scaling applications on clusters is a daunting challenge for machine learning engineers who don’t have teams of infrastructure experts behind them. The time wasted on low-level engineering would be better spent on designing algorithms, and this is where the value of Ray comes in.”

Ion Stoica, added, “As Moore’s Law has slowed down and specialized hardware such as GPUs and TPUs cannot keep pace with the enormous demands of machine learning applications, there is no better time to bring the potential of Ray to more organizations through Anyscale.”

Anyscale enables developers of all skill levels to easily build applications that run at any scale, from a laptop to a data center.

(Image – Anyscale)

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