Nvidia has released the entire Run:ai platform as open source, making available both the full platform and four standalone core components. The company said Run:ai allocates GPU resources on demand in Kubernetes and manages AI workflows from data processing through training and inference. Nvidia said DSX ecosystem partners and AI cloud companies can raise GPU utilisation and run shared AI infrastructure more efficiently. Source code is available on GitHub and through Nvidia NGC as a community product.

Nutanix is acquiring France-based AI computing orchestration company Ryax Technologies, Techzine reported. Nutanix plans to integrate Ryax orchestration and scheduling into its next Nutanix Kubernetes Platform and Nutanix Enterprise AI. The goal is to help companies use GPUs more efficiently and automatically place AI workloads on the cheapest or most energy-efficient hardware. Features include usage-data analysis, dynamic GPU allocation, automatic restarts and split and serverless GPU options.