Yuval Grauer

Yuval Grauer is an engineering lead at NVIDIA and a maintainer of Workload Map. He leads the team building the project and drove its open-source release. His work covers how AI workloads are submitted, run, and managed on Kubernetes, from the controllers that reconcile them in the cluster to the command-line interface used to interact with them. He is active in the broader Kubernetes ecosystem, with a focus on running AI workloads.
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Posts by Yuval Grauer

Data Center / Cloud

Support New AI Frameworks Faster Using NVIDIA Workload Map

NVIDIA DSX AI Factory Platform brings together technologies to help the ecosystem design, build, and operate more efficient AI factories, including open source,... 10 MIN READ