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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: [email protected]
- twitter: @kubernetespod
News of the weekDocker official terraform provider
Tetrate and Bloomberg Envoy AI Gateway
KubeCon+CloudNativeCon North America 2024 laptop drive
Remaining KCDs for 2024
Links from the interviewYuan Tang
Eduardo ArangoWG Serving
Kserve
Kserve Serving models with OCI images
LLM Gateway
Dynamic Resources Allocation
By Abdel Sghiouar, Kaslin Fields4.8
180180 ratings
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: [email protected]
- twitter: @kubernetespod
News of the weekDocker official terraform provider
Tetrate and Bloomberg Envoy AI Gateway
KubeCon+CloudNativeCon North America 2024 laptop drive
Remaining KCDs for 2024
Links from the interviewYuan Tang
Eduardo ArangoWG Serving
Kserve
Kserve Serving models with OCI images
LLM Gateway
Dynamic Resources Allocation

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