The GPU Sharing Problem: How vCluster Lets 100 Teams Use One System | Simone Morellato
Автор: TFiR
Загружено: 2026-01-26
Просмотров: 1255
Описание:
GPU resources are incredibly expensive and scarce, but most organizations are only utilizing 20% of their capacity. Simone Morellato, Customer Success Lead at vCluster, explains how multi-tenancy at the Kubernetes layer transforms GPU sharing, enabling organizations to jump from 20% to 80% utilization.
In this clip, Simone breaks down how vCluster allows 100 teams to access the same powerful GPU system that traditionally could only serve one team at a time. He discusses the innovation behind flexible isolation levels, the Ferrari analogy for DGX systems, and how service providers are leveraging this technology to democratize access to AI infrastructure.
Learn more about vCluster: https://www.vcluster.com
Read the full story at www.tfir.io
#Kubernetes #GPU #vCluster #AI #MultiTenancy #CloudNative #Nvidia #DGX #ResourceSharing #DevOps
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