#ray

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Python
fromTalkpython
1 week ago

Parallel Python at Any Scale with Ray

Ray is a distributed execution engine for AI workloads, originally built for reinforcement learning, now essential for scaling Python applications.
fromInfoQ
5 months ago

How Discord Scaled Its ML Platform from Single-GPU Workflows to a Shared Ray Cluster

Discord has detailed how it rebuilt its machine learning platform after hitting the limits of single-GPU training. By standardising on Ray and Kubernetes, introducing a one-command cluster CLI, and automating workflows through Dagster and KubeRay, the company turned distributed training into a routine operation. The changes enabled daily retrains for large models and contributed to a 200% uplift in a key ads ranking metric. Similar engineering reports are emerging from companies such as Uber, Pinterest, and Spotify as bespoke models grow in size and frequency.
Artificial intelligence
Artificial intelligence
fromInfoQ
5 months ago

KubeCon NA 2025 - Robert Nishihara on Open Source AI Compute with Kubernetes, Ray, PyTorch, and vLLM

Kubernetes, PyTorch, vLLM, and Ray enable scalable production AI by handling growing compute and multimodal data demands across data processing, training, and serving.
Information security
fromThe Hacker News
5 months ago

ShadowRay 2.0 Exploits Unpatched Ray Flaw to Build Self-Spreading GPU Cryptomining Botnet

A two-year-old Ray framework authentication flaw enables ShadowRay 2.0 to create a self-replicating NVIDIA GPU cryptocurrency-mining botnet.
Artificial intelligence
fromInfoWorld
5 months ago

Running managed Ray on Azure Kubernetes Service

Anyscale's managed Ray on Azure Kubernetes Service enables building, training, and running large-scale PyTorch ML models without managing distributed infrastructure.
Artificial intelligence
fromInfoQ
6 months ago

PyTorch Foundation Welcomes Ray, Unveils Monarch for Simplified Distributed AI

PyTorch Foundation expanded its open AI infrastructure by hosting Ray and introducing PyTorch Monarch to simplify scalable distributed model development and deployment.
fromSoapcentral
11 months ago

"That was a big sponsorship": Netizens react as Ray reveals he lost his Adidas sponsorship along with YourRAGE

Ray's apparent indifference to losing a major sponsorship, such as Adidas, highlights a unique confidence and independence in his influencer career.
Social media marketing
Mobile UX
fromInfoQ
1 year ago

Uber's Journey to Ray on Kubernetes

Uber has transitioned its machine learning workloads to a more flexible infrastructure using Kubernetes and Ray to enhance scalability and efficiency.
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