Anyscale Hosts Second Once-a-year Ray Summit Featuring 50+ Consumer Talks on Building Scalable Equipment Finding out Programs

SAN FRANCISCO–(Company WIRE)–Anyscale, the corporation at the rear of the open supply project Ray, kicked off its second annual Ray Summit nowadays. The a few-working day virtual function characteristics an outstanding speaker lineup of major machine finding out (ML), artificial intelligence (AI) and distributed procedure specialists from Uber, Robinhood, Google, Amazon, Shopify, Visa, Dendra Units, Wildlife Studios, and more.

In its 2nd year, Ray Summit will welcome approximately 12,000 Ray users and lovers — builders, ML engineers, and researchers — from above 140 international locations, doubling the signups from the 2020 function. More than 50 talks will showcase authentic-world illustrations of big-scale, dispersed ML and information programs powered by Ray, as perfectly as the most up-to-date improvements in the Ray ecosystem.

“We are thrilled by the momentum in the Ray group, not only in user growth and adoption, but also in the ecosystem and the diversity of use circumstances getting driven by Ray,” stated Robert Nishihara, co-founder and CEO, Anyscale, and a person of the co-creators of Ray. “Many of the most common ML libraries these kinds of as XGBoost, Horovod, Dask, Airflow, and much more now integrate with Ray, enabling it to become the unified dispersed framework for end-to-end ML workflows. It is quite thrilling to see this evolution reflected in many of the talks at this year’s Ray Summit.“

Session highlights involve:

  • McKinsey / QuantumBlack describes how they used AI and Ray to style a globe-class sailor to pace up hydrofoil patterns, and partnered with Emirates Workforce New Zealand to win the 36th America’s cup.
  • Uber, Shopify, Robinhood explore how they are constructing centralized ML platforms, and why they are utilizing Ray as the underlying compute substrate.
  • Ant Team describes how making use of Ray as the dispersed computing foundation for their Fusion Engine is supporting them competently scale a assortment of organization purposes from threat administration to development advertising and marketing.
  • Dendra Devices offers how they are working with ML and significant-scale aerial imagery to accelerate ecosystem restoration and rehabilitation at scale.
  • Wildlife Studios shares how they enhanced their present recommendation engine using reinforcement mastering, and enhanced player life time worth.

“The enchantment of Ray is apparent in its broad adoption. We see big providers like Uber building advanced machine discovering platforms on top of Ray, as nicely as scaled-down companies with constrained engineering assets, building scalable conclude-to-close equipment learning apps,” said Ben Horowitz, normal spouse and co-founder at Andreessen Horowitz. “Anybody who would like to build a scalable device finding out application will want to contemplate utilizing Ray.”

Anyscale will unveil various new abilities on the Anyscale platform that will allow builders to go from prototyping on their notebook to experimenting at scale in the cloud to deploying in production, all with minimal code adjustments. These new abilities more Anyscale’s goal of becoming the greatest platform to generate, operate, and deal with Ray purposes. Element highlights involve:

  • New consumer and dependency syncing permits builders to scale from their notebook to the cloud with no code modifications
  • App packaging quickly bundles all code and library dependencies, enabling seamless migration to production
  • SDK and Rest APIs give programmatic accessibility to clusters, enabling integration with present automation workflows like CI/CD pipelines

“Ray has enabled us to establish, check, and deploy a new offer suggestion motor based on reinforcement discovering in beneath 5 months, and it’s currently revealed improved player life span worth,” claimed Emiliano Castro, principal info scientist at Wildlife Studios. “We are info scientists, not dispersed programs authorities. Without the need of Ray, it would have taken us substantially lengthier to bring this new strategy to market place. The scale, features, and guidance that Anyscale offers accelerates our time to current market, enabling us to launch new encounters sooner.”

To sign-up and check out the live celebration, you should check out:

About Anyscale

Anyscale is the future of distributed computing. Established by the creators of Ray, an open supply venture from the UC Berkeley RISELab, Anyscale permits developers of all skill levels to quickly develop applications that run at any scale, from a laptop computer to a info centre. Anyscale empowers corporations to deliver AI purposes to generation faster, lower growth charges, and remove the want for in-dwelling know-how to build, deploy and regulate these applications. Backed by Andreessen Horowitz and NEA, Anyscale is dependent in San Francisco, CA.