, an Israeli startup that built a Kubernetes-based GPU orchestrator. While the price is not disclosed, there are reports that it is valued anywhere between $700 million and $1 billion.
The problem described above extends to containers and Kubernetes. If a container requires a GPU, it will effectively consume 100% of the GPU if it is not used to its full potential. The shortage of AI chips and GPUs exacerbates the problem.The World s Best Beers According To The 2024 World Beer Cup Centralized interface for managing shared compute infrastructure. Users can manage clusters, pool GPUs and allocate computing power for various tasks through Run:ai's interface.
Notably, Run:ai is not an open-source solution, even though it is based on Kubernetes. It provides customers with proprietary software that must be deployed in their Kubernetes clusters together with a SaaS-based management application.NVIDIA's acquisition of Run:ai strategically positions the company to strengthen its leadership in the AI and machine learning sectors, especially in the context of optimizing GPU utilization for these technologies.