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Working Group Serving, with Yuan Tang and Eduardo Arango

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Manage episode 447873701 series 2485950
Content provided by Kubernetes Podcast from Google, Abdel Sghiouar, and Kaslin Fields. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kubernetes Podcast from Google, Abdel Sghiouar, and Kaslin Fields or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Yuan is a principal software engineer at Red Hat, working on OpenShift AI. Previously, he has led AI infrastructure and platform teams at various companies. He holds leadership positions in open source projects, including Argo, Kubeflow, and Kubernetes WG Serving. Yuan authored three technical books and is a regular conference speaker, technical advisor, and leader at various organizations.

Eduardo is an environmental engineer derailed into a software engineer. Eduardo has been working on making containerized environments the de facto solution for High Performance Computing(HPC) for over 8 years now. Began as a core contributor to the niche Singularity Containers, today known as Apptainer under the Linux foundation. In 2019 Eduardo moved up the ladder to work on making Kubernetes better for performance oriented applications. Nowadays Eduardo works at NVIDIA on the Core Cloud Native team working on enabling specialized accelerators into Kubernetes workloads.

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

Docker official terraform provider

Tetrate and Bloomberg Envoy AI Gateway

KubeCon+CloudNativeCon North America 2024 laptop drive

Remaining KCDs for 2024

Links from the interview

Yuan Tang

Eduardo ArangoWG Serving

Kserve

Kserve Serving models with OCI images

LLM Gateway

Dynamic Resources Allocation

  continue reading

252 episodes

iconShare
 
Manage episode 447873701 series 2485950
Content provided by Kubernetes Podcast from Google, Abdel Sghiouar, and Kaslin Fields. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Kubernetes Podcast from Google, Abdel Sghiouar, and Kaslin Fields or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Yuan is a principal software engineer at Red Hat, working on OpenShift AI. Previously, he has led AI infrastructure and platform teams at various companies. He holds leadership positions in open source projects, including Argo, Kubeflow, and Kubernetes WG Serving. Yuan authored three technical books and is a regular conference speaker, technical advisor, and leader at various organizations.

Eduardo is an environmental engineer derailed into a software engineer. Eduardo has been working on making containerized environments the de facto solution for High Performance Computing(HPC) for over 8 years now. Began as a core contributor to the niche Singularity Containers, today known as Apptainer under the Linux foundation. In 2019 Eduardo moved up the ladder to work on making Kubernetes better for performance oriented applications. Nowadays Eduardo works at NVIDIA on the Core Cloud Native team working on enabling specialized accelerators into Kubernetes workloads.

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

Docker official terraform provider

Tetrate and Bloomberg Envoy AI Gateway

KubeCon+CloudNativeCon North America 2024 laptop drive

Remaining KCDs for 2024

Links from the interview

Yuan Tang

Eduardo ArangoWG Serving

Kserve

Kserve Serving models with OCI images

LLM Gateway

Dynamic Resources Allocation

  continue reading

252 episodes

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