In this episode, guest host and AI correspondent Mofi Rahman interviews Richard Liaw and Kai-Hsun Chen from Anyscale about Ray and KubeRay. Ray is an open-source unified compute framework that makes it easy to scale AI and Python workloads, while KubeRay integrates Ray’s capabilities into Kubernetes clusters.

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News of the week

• CNCF Blog - LitmusChaos audit complete!

• Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand

• Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs

• Diginomica article - KubeCon China - at 33-and-a-third, Linux is a long player. So, why does Linus Torvalds hate AI?

• CNCF-Hosted Co-Located Event Schedule for KubeCon NA 2024

• Google Kubernetes Engine Release Notes - August 20, 2024 (1.31 available in Rapid Channel)

• Kubernetes Podcast from Google - Kubernetes v1.31: "Elli", with Angelos Kolaitis

• Red Hat Press Release - Red Hat OpenStack Services on OpenShift is Now Generally Available

• Red Hat Enables OpenStack to Run Natively on OpenShift Platform

• Broadcom Revamps Tanzu to Simplify Cloud-Native App Development and Deployment

• Tanzu Platform 10 Offers Cloud Foundry Users Deep Visibility and Productivity Enhancements

• VMware Explore Conference Website

• CNCF Blog - Announcing 500 Kubestronauts

• CNCF - Kubestronaut FAQ

• Dapr Day 2024 Virtual Event Website

Links from the interview

• Kai-Hsun Chen on LinkedIn

• Richard Liaw on LinkedIn

• Ray from the RISE Lab at UC Berkeley

• Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018

• KubeRay Docs

• KubeRay on GitHub

• PyTorch

• Apache Airflow

• Apache Spark

• Kubeflow

• Apache Submarine (retired)

• Jupyter Notebooks

• VS Code

• Examples of schedulers for Batch/AI workloads in Kubernetes

• • Kueue

  • Volcano

  • Apache Yunikorn

• Examples of observability tools for Batch/AI workloads in Kubernetes

• • Prometheus

  • Grafana

  • Fluentbit

• Examples of loadbalancers

• • Nginx

  • Istio

• Ray Data: Scalable Datasets for ML

• Dask Python - Parallel Python

• Ray Serve: Scalable and Programmable Serving

• HPA - Horizontal Pod Autoscaling in Kubernetes

• Karpenter - “Just-in-time nodes for any Kubernetes cluster”

• Lazy Computation Graphs with the Ray DAG API

• Types of hardware accelerators

• • Google Cloud Tensor Processing Units (TPUs)

  • AMD Instinct

  • AMD Radeon

  • AWS Trainium

  • AWS Inferentia

• Pandas

• Numpy

• KubeCon EU 2024 - Accelerators(FPGA/GPU) Chaining to Efficiently Handle Large AI/ML Workloads in K8s - Sampath Priyankara, Nippon Telegraph and Telephone Corporation & Masataka Sonoda, Fujitsu Limited

• NVidia Megatron

Links from the post-interview chat

• DRA - Dynamic Resource Allocation in Kubernetes

• Different ways of Running RayJob on Kubernetes

• Ray framework diagram in the docs