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Anyscale Unveils New Products and Enhances its Leading Unified AI Platform at
Ray Summit 2024
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ANYSCALE UNVEILS NEW PRODUCTS AND ENHANCES ITS LEADING UNIFIED AI PLATFORM AT
RAY SUMMIT 2024


EXPANDED OFFERINGS EMPOWER ORGANIZATIONS TO BUILD AND SCALE AI STRATEGIES MORE
EFFICIENTLY IN THE RAPIDLY EVOLVING MARKET

October 01, 2024 10:00 ET | Source: Anyscale Follow Anyscale

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SAN FRANCISCO, Oct. 01, 2024 (GLOBE NEWSWIRE) -- Anyscale, the unified AI
platform and the company behind the leading open-source AI Compute Engine Ray,
today kicked off its annual user conference, Ray Summit. The three-day event,
held annually in San Francisco, brings together leading experts from OpenAI,
a16z, Meta, and Runway, among others, to discuss the latest innovations in the
development of AI at scale. Anyscale announced a slew of significant platform
advancements, including a foundational shift in architecture that makes Ray
GPU-native; RayTurbo, an optimized version of Ray for peak performance; the
general availability release of Ray Data, a library for processing unstructured
data at scale; new direct integrations connecting the Anyscale platform to
Kubernetes for AI/ML development; and tools for enterprise governance and
observability, all wrapped in a new user experience that reduces complexity at
scale. Together, these upgrades cement Ray and Anyscale’s standing as the go-to
distributed compute solution for AI workloads.

The growing sophistication of AI development – with large models, multimodal
data, and multi-model orchestration – make the need to scale seamlessly and
efficiently more critical than ever. Poorly managed AI workloads result in
wasted resources, increased costs and delayed production, limiting the full
potential of AI.

“As more and more organizations integrate AI into day-to-day operations, we’ve
seen Anyscale usage soar 44x over the past year, and Ray is now orchestrating
more than 1 million clusters per month,” said Robert Nishihara, Co-founder of
Anyscale. “With the introduction of RayTurbo and Ray’s GPU-native architecture,
we are offering the only holistic compute engine on the market serving AI
developers.”

Today’s announcements include:

 * Ray is now GPU-native: Ray’s dynamic and flexible structure make it ideal for
   AI/ML workloads, but those traits also result in higher overhead for smaller
   tasks across GPUs. By innovating on the default execution through static task
   graphs, Ray is now truly GPU-native, setting a new standard in speed, low
   latency, and high performance in inter-GPU communication for workloads like
   distributed training and model serving.
 * RayTurbo: Available exclusively on the Anyscale platform, the new RayTurbo
   engine is a supercharged version of Ray that delivers significant performance
   improvements, maximizing resource utilization and minimizing additional
   costs. Performance improvements include up to 4.5X faster data processing, up
   to 90% lower costs through reliable spot instance support, up to 5X faster
   node launching and scaling, and 60% higher QPS serving when compared to
   open-source Ray.
 * Support for unstructured data: With the general availability of Ray Data,
   Anyscale’s powerful solution for unstructured data workloads and distributed
   data processing, all users will have access to newly supported data formats
   including data lakehouse formats like Hudi, Iceberg, and Delta Lake.
 * Anyscale Operator for Kubernetes: Launching in partnership with Amazon EKS,
   Google GKE, Azure AKS, and OCI Kubernetes Engine (OKE), the Anyscale Operator
   for Kubernetes allows all users deploying Ray through KubeRay to seamlessly
   use Anyscale and RayTurbo. The Anyscale Operator runs as part of customers'
   existing Kubernetes clusters, letting customers run their tooling, their
   governance systems, and their integrations alongside other workloads.
 * Tools for enterprise governance and observability: Anyscale now provides
   platform engineers and IT leaders with enterprise governance and
   observability at both the infrastructure and application level. This includes
   functionality to manage compute resource usage via quota management, workload
   prioritization across teams, and deep observability to enable developers to
   optimize AI/ML workflows.
 * Ease to scale for real AI benefits: Anyscale is simplifying the onboarding
   process to reduce complexity via an upgraded user experience which includes:
   * Log Viewer: Persistent log storage, improved search/filter functions, and
     cloud export notifications for seamless debugging and monitoring.
   * Streamlined Dependency Management: Simplified installation process,
     consolidated information, and optimized container images for a faster,
     easier setup.
   * Serverless Mode: Auto-selection of compute nodes helps automate
     infrastructure management, enabling developers to focus on applications.
     

With Ray’s rapid growth and widespread adoption by companies like Netflix,
OpenAI, Airbnb, and others, Anyscale continues to break new ground in enabling
organizations to scale their AI and ML workloads with unprecedented efficiency.

At Ray Summit, over 1,500 attendees will hear from Anyscale customers and Ray
users from Meta, Uber, Canva, Pinterest, Spotify, and many more, learning how
they are leveraging Ray to power their AI strategies. The opening day of the
conference offers keynotes from Anyscale co-founders, Robert Nishihara and Ion
Stoica, as well as Anastasis Germanidis, Co-founder & CTO, Runway, and legendary
venture capitalist Marc Andreessen, Co-founder & general partner, Andreessen
Horowitz. On the following day, keynote speakers will include Kevin Weil, CPO,
OpenAI; John Bicket: CTO & Co-founder, Samsara; Brandon Leonardo, the Co-founder
of Instacart; and Stephen MacKinnon, vice president of applied machine learning
for Recursion.

You can read more about Anyscale’s platform advancements on the blog
www.anyscale.com/blog.

About Anyscale

Anyscale provides a Unified AI Platform powered by Ray, enabling organizations
to scale their AI and ML workloads efficiently across any infrastructure.
Anyscale's platform powers everything from training large language models to
real-time data processing, helping teams of all sizes build, deploy, and manage
AI workloads effortlessly.

For more information, visit www.anyscale.com.

Media Contact:
press@anyscale.com


Company ProfileAnyscaleIndustry: Technology
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