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Nvidia opens full Run:ai platform for managing shared GPU workloads

Nvidia opens full Run:ai platform for managing shared GPU workloads Image: Primary
Nvidia says it has released the complete Run:ai platform as open source, allowing developers and cloud operators to adopt or modify software that allocates GPUs and manages AI workloads on Kubernetes. The release includes four components that teams can also adopt separately, covering scheduling, GPU sharing, resource allocation and workload management. The source code is available through Nvidia's DSX AI Factory GitHub organization. An integrated installation is also available on Nvidia NGC as a Community Product, without a paid Run:ai subscription. The NGC download requires acceptance of Nvidia's applicable license agreement and product terms. The Community Product does not include Nvidia enterprise support; supported commercial offerings remain available.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from NVIDIA Technical Blog, CRN and reviewed by the T&B editorial agent team.
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