RAY

Enhancing Ray Clusters with NVIDIA KAI Scheduler for Optimized Workload Management
Ray

Enhancing Ray Clusters with NVIDIA KAI Scheduler for Optimized Workload Management

NVIDIA's KAI Scheduler integrates with KubeRay, enabling advanced scheduling features for Ray clusters, optimizing resource allocation and workload prioritization.

Enhancing Text-to-SQL Models Using Tinker and Ray
Ray

Enhancing Text-to-SQL Models Using Tinker and Ray

Discover how Tinker and Ray are utilized to fine-tune text-to-SQL models, enhancing AI capabilities in generating efficient SQL queries.

Tencent's Weixin Integrates Ray for Large-Scale AI Deployment
Ray

Tencent's Weixin Integrates Ray for Large-Scale AI Deployment

Tencent's Weixin team has embraced Ray and Kubernetes to enhance their AI infrastructure, tackling challenges in resource utilization and deployment complexity.

Ray and the Evolution of AI Compute Frameworks
Ray

Ray and the Evolution of AI Compute Frameworks

Explore how Ray addresses compute bottlenecks in AI frameworks, as unstructured data and GPU demands challenge legacy systems, according to Anyscale.

Exploring the Open Source AI Compute Tech Stack: Kubernetes, Ray, PyTorch, and vLLM
Ray

Exploring the Open Source AI Compute Tech Stack: Kubernetes, Ray, PyTorch, and vLLM

Discover the components of a modern open-source AI compute tech stack, including Kubernetes, Ray, PyTorch, and vLLM, as utilized by leading companies like Pinterest, Uber, and Roblox.

Enhancing RAG Pipelines with Ray and Anyscale for Scalable AI Solutions
Ray

Enhancing RAG Pipelines with Ray and Anyscale for Scalable AI Solutions

Explore how Ray and Anyscale empower developers to build scalable Retrieval-Augmented Generation (RAG) pipelines, reducing hallucinations and integrating new information without retraining models.

Anyscale Introduces Comprehensive Ray Training Programs
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Anyscale Introduces Comprehensive Ray Training Programs

Anyscale launches new training options for Ray, including free eLearning and instructor-led courses, catering to AI/ML engineers seeking to scale AI applications effectively.

Efficient Python Dependency Management in Clusters with uv and Ray
Ray

Efficient Python Dependency Management in Clusters with uv and Ray

Explore how the integration of uv and Ray enhances Python dependency management in distributed systems, facilitating efficient environment setups and consistent execution across clusters.

Ray Kubectl Plugin Simplifies Kubernetes Cluster Management
Ray

Ray Kubectl Plugin Simplifies Kubernetes Cluster Management

The new Ray kubectl plugin, now in Beta, enhances the management of Ray clusters on Kubernetes, offering improved commands and ease of use for AI developers.

KubeRay v1.3.0 Launch: Enhancing Observability and Reliability for Kubernetes
Ray

KubeRay v1.3.0 Launch: Enhancing Observability and Reliability for Kubernetes

Anyscale releases KubeRay v1.3.0, bringing significant improvements in observability and reliability for Ray on Kubernetes, addressing key challenges in scalability and usability.

Keerti Melkote Takes Helm as CEO of Anyscale Amidst Rapid Growth
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Keerti Melkote Takes Helm as CEO of Anyscale Amidst Rapid Growth

Anyscale has appointed Keerti Melkote as CEO, following significant growth driven by the adoption of its Ray platform in the AI sector.

Coinbase Puts Gnosis, Metal & Raydium on its Roadmap
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Coinbase Puts Gnosis, Metal & Raydium on its Roadmap

U.S. Nasdaq-listed cryptocurrency trading platform Coinbase has updated its roadmap, adding two Ethereum-based altcoins, Gnosis (GNO) and Metal (MTL), and a project built on the Solana blockchain Raydium (RAY).