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Ray

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// recent coverage 67 mentions

16:09
2026-09-09
sourcefeed.dev
artificial-intelligence

Ray's new TPU support is aimed at your GPU bill

Ray 2.55 adds official TPU support with atomic gang scheduling for TPU slices, aiming to cut GPU costs by enabling Ray-based workloads to run on Google's TPUs. Google's motive is to boost external TPU…

10:56
2026-09-09
github.com
artificial-intelligence

Low-code framework for building custom AI

Ludwig, a declarative deep learning framework hosted by the Linux Foundation AI & Data, announced support for Python 3.12, PyTorch 2.7+, Pydantic 2, Transformers 5, and Ray 2.54, enabling users to tra…

20:14
2026-08-31
frontierroles.com
ai-infrastructure

Software Engineer, ML Platform — Anysphere (Cursor)

Anysphere, the company behind the AI code editor Cursor, is hiring a Software Engineer for its ML Platform team in San Francisco, with the role focused on building infrastructure for telemetry, data p…

17:08
2026-08-31
sourcefeed.dev
ai-infrastructure

Google is rebuilding its cloud around code it doesn't trust

Google Cloud's August infrastructure releases, including a sandboxing library for Ray 2.58 using gVisor, the GA of GKE Agent Sandbox, and the preview of Cloud Run Instances, collectively signal a shif…

14:31
2026-08-31
dev.to
developer-tools

Ray Framework for Distributed Computing

Ray, an open-source framework for distributed computing, offers Python developers a simple API to scale applications from a laptop to a cluster. Its key features include Pythonic simplicity, a unified…

16:00
2026-08-25
cloud.google.com
ai-infrastructure

Bringing gVisor sandboxes to distributed Ray clusters

Google Cloud and Anyscale announced an experimental library for Ray that brings native gVisor-based sandboxing to distributed Ray clusters, starting in Ray 2.58. The library represents sandboxes as Ra…

09:00
2026-08-25
anyscale.com
ai-infrastructure

Announcing Native Sandboxing in Ray

Ray 2.58 introduces native sandboxing built on gVisor, allowing users to create isolated environments from OCI container images and manage them with Ray primitives. The feature, developed in partnersh…

09:00
2026-08-25
anyscale.com
artificial-intelligence

Learning Loops: The Path to Owning Your Intelligence

Anyscale co-founder Christian Stano outlines a three-step maturity curve for companies to build 'learning loops'—compounding flywheels of data curation, custom model training, and inference powered by…

09:00
2026-08-25
anyscale.com
artificial-intelligence

GPU-Native Operators in Ray Data

Anyscale and NVIDIA cuDF have integrated GPU-native operators into Ray Data, enabling up to 3x better total cost of ownership (TCO) on select data curation workloads compared to CPU-based solutions. T…

09:00
2026-08-25
anyscale.com
machine-learning

Scaling Ray for AI workloads to 10k node clusters

Anyscale's Ray team reports that after a round of Ray Core improvements, batch inference on 500 nodes is 23% faster end to end, Ray Data shuffle is 24% faster, and placement groups are 62× faster to r…

19:32
2026-08-24
aws.amazon.com
artificial-intelligence

Introducing new Ray capabilities on SageMaker HyperPod

Amazon Web Services (AWS) announced new Ray capabilities on Amazon SageMaker HyperPod that integrate Ray with HyperPod's purpose-built infrastructure for foundation model training and serving. Data sc…

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