ClearML and Carahsoft Partner to Provide GPU-as-a-Service to Government Agencies
ClearML, the leading AI infrastructure platform, and Carahsoft Technology Corp., the Master Government Aggregator, have announced an expanded partnership, offering GPU-as-a-Service (GPUaaS) to government agencies.
This new offering, part of ClearML’s Infrastructure Control Plane, allows agencies to access and manage GPU resources for AI and High-Performance Computing (HPC) workloads, providing direct GPU access with minimal configuration and comprehensive monitoring tools.
Simplified Management of AI Workloads Across Diverse Environments
ClearML’s GPU-as-a-Service enables agencies to manage, orchestrate, and schedule GPU compute resources across various environments, whether on-premise, in the cloud, hybrid, or air-gapped. This solution is designed to streamline and optimize compute infrastructure, ensuring agencies can efficiently handle the growing demand for AI and HPC workloads.
Moses Guttmann, CEO and Co-Founder of ClearML, said, “We’re excited to offer our GPU-as-a-Service capabilities as part of our Infrastructure Control Plane to the Public Sector through Carahsoft.”
He added, “We’re bridging the gap between AI builders and IT teams with an end-to-end infrastructure platform that is vertically integrated throughout the entire AI tech stack. With ClearML, AI infrastructure and IT leaders can maximize the value of their existing hardware investments by enabling additional services such as secure multi-tenancy, closely managing resource utilization and ensuring high-cost computing clusters are fully optimized.”
Also read: Microchip Technology Reveals New Solutions to Meet AI Needs in Data Centers
Key Features of ClearML’s GPU-as-a-Service
ClearML’s GPUaaS simplifies AI infrastructure with secure multi-tenancy, dynamic fractional GPUs, and granular resource controls. It offers one-click compute access, real-time usage tracking, and governance tools for efficient, auditable, and cost-effective AI operations.
ClearML’s platform offers government agencies the ability to centralize the management of compute resources, reducing idle time and optimizing costs. The platform’s flexibility allows it to support all phases of AI production, and it is silicon-agnostic, cloud-agnostic, and vendor-agnostic, ensuring compatibility across diverse systems.
