Whether you’re looking for the latest news, general support, documentation, whitepapers, solution briefs or an engaging set of engineering demos, you’ve come to the right place. Click on the tabs to find the resources you need.
EGS: AI Health metrics tab (Power, Energy)
Elastic GPU Service Making MLOPs Easier
EGS integrates observability, orchestration, and cost optimization for GPUs, seamlessly combining these capabilities through automation to deliver significant business value.
EGS: One Pager
EGS (Elastic GPU Service) optimizes GPU infrastructure for AI engineers by providing usage optimization, observability with real-time clarity, smart orchestration and automation. It redefines how organizations harness the power of GPU-intensive workloads. EGS automation unlocks unparalleled efficiency, scalability, and cost-effectiveness—all tailored for AI, ML, and high-performance computing.
Elastic GPU Service (EGS) - Workload Automation, Optimization, Cost Reduction, and Observability
Despite advancements in ML scheduling tools like KubeFlow, optimizing GPU and CPU usage remains difficult. Mismatches between resource management and workload orchestration cause idle GPUs: creating delays, and inefficiencies in large-scale setups.
Transforming your GPU infrastructure into a competitive advantage
At Elastic GPU Services (EGS), we’re redefining how organizations harness the power of GPU-intensive workloads. With EGS, observability, orchestration, and automation work in unison to unlock unparalleled efficiency, scalability, and cost-effectiveness—all tailored for AI, ML, and high-performance computing. AI, ML, and high-performance computing.
EGS: Detailed Video
EGS: Dynamic GPU Orchestration