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

_Published Tuesday, October 13, 2026 at 10:31 AM EDT · AI, Infrastructure · Latest · Tier 2 — Notable_

![Nvidia opens full Run:ai platform for managing shared GPU workloads — Primary](https://developer-blogs.nvidia.com/wp-content/uploads/2026/01/run-ai.jpg)

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.

## Sources

- [NVIDIA Technical Blog](https://developer.nvidia.com/blog/nvidia-runai-is-now-open-source-as-part-of-nvidia-dsx-ai-factory-platform/)

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Canonical: https://techandbusiness.org/newswire/9f0wKuQPI6hcxvGClkJFkm
Published: 2026-10-13T14:31:45.053Z
Story chronology: 2026-10-13T14:19:40.000Z
Retrieved: 2026-10-13T16:46:03.654Z
Publisher: Tech & Business (techandbusiness.org)