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Ray & KubeRay, with Richard Liaw and Kai-Hsun Chen
Manage episode 437939008 series 2485950
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.
Do you have something cool to share? Some questions? Let us know:
- web: kubernetespodcast.com
- mail: kubernetespodcast@google.com
- twitter: @kubernetespod
News of the week
Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand
Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs
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
Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018
Examples of schedulers for Batch/AI workloads in Kubernetes
Examples of observability tools for Batch/AI workloads in Kubernetes
Examples of loadbalancers
Dask Python - Parallel Python
Karpenter - “Just-in-time nodes for any Kubernetes cluster”
Types of hardware accelerators
245 episodios
Manage episode 437939008 series 2485950
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.
Do you have something cool to share? Some questions? Let us know:
- web: kubernetespodcast.com
- mail: kubernetespodcast@google.com
- twitter: @kubernetespod
News of the week
Kubernetes Podcast from Google episode 234 - LitmusChaos, with Karthik Satchitanand
Google Cloud Blog - Run your AI inference applications on Cloud Run with NVIDIA GPUs
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
Ray: A Distributed System for AI by Robert Nishihara and Philipp Moritz - Jan 9, 2018
Examples of schedulers for Batch/AI workloads in Kubernetes
Examples of observability tools for Batch/AI workloads in Kubernetes
Examples of loadbalancers
Dask Python - Parallel Python
Karpenter - “Just-in-time nodes for any Kubernetes cluster”
Types of hardware accelerators
245 episodios
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