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Anyscale Enhances Ray Data with Joins and Hash-Shuffle for Improved Performance

Anyscale Enhances Ray Data with Joins and Hash-Shuffle for Improved Performance

Anyscale introduces a hash-based shuffle backend in Ray Data, enhancing joins and performance for repartitioning and aggregations. Discover the advancements in the Ray 2.46 release.

Anyscale Launches Ray Train and Ray Data Dashboards for Enhanced Observability

Anyscale Launches Ray Train and Ray Data Dashboards for Enhanced Observability

Anyscale introduces Ray Train and Ray Data Dashboards, offering new features for improved observability and performance optimization in distributed AI model training and data pipelines.

RayTurbo Data Enhancements Boost Processing Speed by Fivefold

RayTurbo Data Enhancements Boost Processing Speed by Fivefold

Anyscale's RayTurbo Data introduces significant improvements, offering up to 5x faster data processing. Key features include job-level checkpointing, vectorized aggregations, and optimized pipeline rules.

Enhancing RAG Pipelines with Ray and Anyscale for Scalable AI Solutions

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.

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

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.

Ray and the Evolution of AI Compute Frameworks

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.

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

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.

NVIDIA Unveils DLSS 4 and Ray Tracing Advancements at Gamescom 2025

NVIDIA Unveils DLSS 4 and Ray Tracing Advancements at Gamescom 2025

NVIDIA announces DLSS 4 support for over 175 games and introduces new ray tracing capabilities at Gamescom 2025, enhancing gaming experiences with AI-powered technologies.

Enhancing Text-to-SQL Models Using Tinker and 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.

Enhancing Ray Clusters with NVIDIA KAI Scheduler for Optimized Workload Management

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.

BTC Institutional Investor Base Now Targeting Ethereum (ETH), says Grayscale Managing Director

BTC Institutional Investor Base Now Targeting Ethereum (ETH), says Grayscale Managing Director

Michael Sonnenshein, the managing director at Grayscale Investment LLC, has disclosed that Ethereum is one of the cryptocurrencies that people are looking at for investment.

Grayscale's Parent Company DCG Plans to Purchase $50M Shares of Ethereum Classic Trust

Grayscale's Parent Company DCG Plans to Purchase $50M Shares of Ethereum Classic Trust

Digital Currency Group (DCG), the parent company of the cryptocurrency asset management company Grayscale, announced the firm will buy Grayscale Ethereum Classic Trust shares with a total value of $50 million.

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