ClearML, the leading solution for unleashing AI in the enterprise, is debuting its new multi-tenant GPU-as-a-Service (GPUaaS) for Enterprise, an offering that delivers greater GPU utilization for enterprises to improve their AI innovation and ROI. GPUaaS for Enterprise empowers organizations to successfully support their AI initiatives with the compute required while offering a centralized location for monitoring and managing AI resources.
The ever-evolving world of AI—especially its generative form—has made compute an extremely valuable resource, where, according to Statista, the global graphics processing unit (GPU) market is currently valued at 65.3 billion U.S. dollars.
ClearML’s GPUaaS for Enterprise allows enterprises’ AI builders to tap into secure, multi-tenancy GPU clusters, helping them extract more value from compute investments. Paired with real-time, tenant-based reporting on computing hours, data storage, API calls, and other chargeable metrics, ClearML offers a single pane of glass for monitoring and managing AI resources with full visibility and control, further optimizing efficiency.
“Our flexible, scalable, multi-tenant GPUaaS solution is designed to make shared computing a working reality for any large organization,” said Moses Guttmann, co-founder and CEO of ClearML. “By increasing AI throughput for AI model and large language model (LLM) deployment, we’re helping our clients achieve a frictionless, unified experience and faster time-to-value on their investments in a completely secure manner.”
ClearML’s flexible, silicon- and hardware-agnostic approach enables organizations to unify and democratize all of their different computing clusters on a single infrastructure network, whether on-prem, in the cloud, hybrid, Kubernetes, or bare metal, according to the company. Other key benefits include:
- Improved ROI and cost management by maximizing compute value
- Optimized availability for AI builders to access computing resources for AI development and deployment through fractional GPUs
- Frictionless scalability paired with the freedom to build additional clusters using any hardware or cloud of their choice, helping to optimize costs and preserve the cloud experience
- Enterprise-grade security with SSO authentication and LDAP integration, ensuring access to data, models, and compute resources is reserved for approved users/teams
- Full operational oversight via ClearML’s single pane of glass that monitors and controls job queues for diverse workloads
To learn more about ClearML’s GPUaaS for Enterprise, please visit https://clear.ml/.