Anyscale, the company behind the open-source Ray framework, has signed a definitive agreement to join Nscale, a vertically integrated neocloud provider. The deal will expand investment in Ray and the …
Packt Publishing released 'Python Data Analysis, 4th Ed' in June 2026, authored by Avinash Navlan and Cornellius Yudha Wijaya. The 766-page book covers end-to-end data analysis including machine learn…
Moonshot AI open-sourced AgentENV, a Rust-based distributed runtime for AI agent environments, now powering Kimi K3's agentic RL training. The platform uses Firecracker micro-VMs for isolation, achiev…
Xoople, a Madrid-based company that has raised around $225 million since its 2019 founding, scales Python AI workloads on Azure using managed Ray through Anyscale on Azure Kubernetes Service, employin…
Ray AI libraries (Serve, Data, Train) now support Google TPU slices through a topology field that reserves a whole ICI-connected slice, preventing multi-host deployment hangs. Ray Serve serves LLMs vi…
Anyscale Inc. today introduced the Anyscale Physical AI Skill, a new workload skill for building robotics and autonomous-driving systems with Ray and Anyscale that generates code, dependency pins, com…
Ray 2.55 makes Google Cloud TPUs a first-class accelerator, with official pre-built images and support across core libraries. The distributed-computing framework now treats TPU slices as schedulable r…
New research introduces a nonparametric Bayesian method for inverse reinforcement learning that handles diverse expert inputs by using a Dirichlet Process prior over reward functions. The approach ach…
Ray's new Resource Isolation feature, built using Linux kernel control groups (cgroup-v2), delivers up to 1.5x speedup and eliminates node deaths and job failures on previously unstable workloads such…
RadixArk released Miles, an open-source PyTorch-native framework for large-scale LLM reinforcement learning post-training. The framework integrates SGLang for rollout, NVIDIA Megatron-LM for training,…
A developer exploring AI platform engineering found that the most challenging problems lie in distributed systems and scheduling rather than machine learning itself. The analysis of GPUs, Ray, vLLM, a…
Zilliz announced a new storage engine called Loon that supports real-time search, large-scale discovery, and batch analytics from a single copy of vector data on low-cost object storage, enabling onli…
AMD Strix Halo cluster setup guide details how to configure a two-node system linked via Intel E810 RoCE v2 for distributed vLLM inference using Tensor Parallelism. The guide covers hardware prerequis…
Researchers from Anyscale and NVIDIA demonstrated a method to scale robot policy evaluation by disaggregating GPU-heavy simulation and policy inference workloads using Ray and Isaac Lab. The approach …
Metaflow, an open-source ML/AI orchestration framework, ranks first in every category of the Cloud Native Computing Foundation's latest Technology Radar report, with 51% of surveyed users highly likel…
Ray Serve LLM, in partnership with Google Kubernetes Engine, announced major performance improvements achieving up to 4.4x higher throughput on prefill-heavy workloads and 24x higher on decode-heavy w…
The PyTorch Foundation has opened nominations for its 2026 Contributor Awards, recognizing individuals who strengthen projects like PyTorch, vLLM, DeepSpeed, Ray, Helion, and Safetensors through techn…
Engineers achieved up to 67% cost savings and 2.7x better goodput by using Prefill-Decode disaggregation with Ray and vLLM on AMD MI325X GPUs, separating prefill and decode phases onto dedicated hardw…
Ray Serve LLM and vLLM on AMD MI325X achieve up to 67% cost savings by disaggregating prefill and decode phases in LLM serving, separating them onto dedicated GPUs to eliminate interference and improv…
Alibaba's 1.7B parameter Qwen3-TTS voice cloning model was fine-tuned using Fully Sharded Data Parallel (FSDP) with PyTorch and Ray, demonstrating memory-efficient distributed training across 4 GPUs. …