Exxact is a supplier of high performance computing (HPC), Artificial Intelligence (AI) and data center solutions. It develops and manufactures high-performance computing platforms and solutions, including workstations, servers, clusters and storage products developed for deep learning, life sciences , high-performance computing, big data, cloud, etc.
will now provide Run:ai's pioneering orchestration tool based on kubernetes in their solution, integrating a high-performance super scheduler dedicated to managing GPU resources in AI clusters.
Run: ai's innovative cloud-native operating system—including a workload-aware scheduler and abstraction layer—helps IT simplify AI implementation, improve team productivity, and make the most of expensive GPUs. Hardware utilization can be dynamically optimized based on AI workloads to enable clusters to operate at the highest efficiency.
hardware is broken down into a shared pool, and the Run:ai super scheduler allocates GPU resources between team work. Data scientist can easily leverage a large number of GPU computing. A centralized and highly transparent interface can be viewed to monitor resource provisioning, job queues, and utilization percentages. At low peaks, Run:ai automatically allocates unused resources to accelerate existing jobs and maximize resource utilization. Therefore, AI models can be created and trained faster while minimizing resource waste on idle GPUs.
Run:ai co-founder and CEO Omri Geller said the company’s goal is to enable IT teams to get the largest return on investment on expensive GPUs and to achieve democratic access to AI computing resources. By plugging the Run:ai software into a Kubernetes environment, AI workloads can be controlled and prioritized, and provides AI practitioners with a simple and scalable way to run their workloads. “Deep learning is creating entirely new industries and reinventing old ones,” said
Geller. “It’s time to adapt computing to deep learning. Run:ai provides IT and data scientists with what they need to get the most out of GPUs, so they can innovate and iterate models faster to produce advanced AI for the future.”
By working with Run:ai, leveraging dynamic GPU drafting and resource allocation, Exxact can help customers unlock the full potential of their AI cluster performance.
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