AITOPAI热报
Products

Anyscale 创始人 Robert Nishihara 在 KubeCon 发表 Ray + Kubernetes 主题演讲

Anyscale@anyscalecompute
Post
View the post
Why we picked it

KubeCon 的 keynote 视频直接放出来了，Anyscale 的 Robert Nishihara 讲 Ray 怎么和 Kubernetes 配合部署。平时用 K8s 管集群、又要跑 AI 训练推理任务的工程师，能从里面看到 KubeRay 的实际用法和调度思路，比文档更直观。

Anyscale 联合创始人 Robert Nishihara 于周二在 KubeCon 大会上发表主题演讲，主题是 Ray 与 Kubernetes 的结合。演讲内容通过 X 平台上的 Anyscale 官方账号发布，并附带了完整演讲视频链接。

Image · Anyscale
Body

Ray 是目前 AI 训练与推理基础设施中广泛使用的分布式计算框架，而 Kubernetes 是云原生环境下的容器编排标准。两者的结合面向的是同一类工程痛点：团队希望用 K8s 统一管理集群资源，同时保留 Ray 对 Python 计算任务的调度能力。Ray 此前已提供 KubeRay 项目作为官方集成方案，支持在 Kubernetes 上部署 Ray 集群，这次演讲可以视为对这一方向在 KubeCon 场合的公开阐述。

对负责搭建 AI 基础设施的工程师来说，这是了解 Ray 生态与云原生栈如何配合的直接材料；对正在选型分布式计算框架的企业而言，也能据此判断 Ray 是否能与现有 K8s 运维体系共存，而不必引入一套独立的集群管理方案。

Original · Anyscale

Ray + Kubernetes, @robertnishihara's keynote at KubeCon from Tuesday. https://t.co/UZKeVaiKQs

Industry Coordinates & Source Verification

This report is categorized under AITOP's "Products" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Ray, Kubernetes, KubeRay, Anyscale.

Source attribution: curated from Anyscale (@anyscalecompute).

#Ray#Kubernetes#KubeRay#Anyscale#MCP and tools

Keep reading

Recent stories with the same tag or section
IndustryBuildersSelected01:07
KubeRay joins Cloud Native Foundation as Ray's Kubernetes standard

Moving KubeRay under CNCF governance reduces the risk of vendor lock-in for teams running Ray on Kubernetes, since the operator now follows a neutral, community-driven process. Platform engineers and MLOps teams planning large-scale training or inference clusters should evaluate KubeRay as their default integration path, especially where managed Ray services from cloud providers already build on it. The PyTorch Foundation tie-in signals tighter alignment between the training framework and serving infrastructure ecosystems.

#KubeRay#CNCF#Ray#Kubernetes
Event
Official accountPyTorch@PyTorchSource
ProductsBuildersMulti-sourceSelected02:06
Ray Launches Special Interest Group for Accelerators

Ray becoming a PyTorch Foundation project shifts accelerator support from a single-vendor effort to a community-governed roadmap, which should reduce fragmentation across GPU and TPU fleets. Teams running distributed training or inference on mixed hardware can follow the SIG on GitHub or Slack to influence scheduling and transport priorities early.

#Ray#PyTorch#NVIDIA#TPU
Event
Official accountPyTorch@PyTorchSource