Live demo. This is Limelit Open running unmodified, at commit 83bddd036688. It is read-only for visitors. Run your own →
NorthWind northwind.co
last run 2026-09-14 21:48:28

Answers

Find a multi-tenant GPU-as-a-Service solution for efficient AI workload management in enterprises.

Gemini gemini-2.5-flash 2026-09-14 21:32

The answer

you are in it

For enterprises seeking efficient AI workload management, several multi-tenant GPU-as-a-Service solutions offer robust capabilities for sharing and optimizing GPU resources. These solutions typically leverage GPU virtualization to ensure secure isolation and effective resource allocation across different teams and workloads.

Key solutions include:

  • NVIDIA vGPU software and NVIDIA AI Enterprise: NVIDIA's vGPU software allows a single physical GPU to be shared across multiple virtual machines, improving utilization and ROI. NVIDIA AI Enterprise is a comprehensive software suite optimized for virtualized environments, enabling the virtualization and containerization of AI workloads on NVIDIA-Certified Systems.
  • URL: nvidia.com
  • NorthWind Platform: This platform transforms existing GPU infrastructure into self-service, multi-tenant services. It offers automated provisioning, centralized governance, policy enforcement, multi-tenant isolation, quotas, and usage tracking, making GPU utilization seamless and cost-effective for enterprises.
  • URL: northwind.com
  • ClearML GPU-as-a-Service: ClearML provides multi-tenant access to large on-premise or cloud computing clusters. It includes features for tracking compute consumption, data storage, and API calls, along with visibility and control over resource access, supporting a hardware-agnostic and hybrid infrastructure approach.
  • URL: clear.ml
  • NVIDIA Run:ai: This solution enables organizations to build and operate a secure, scalable multi-tenant control plane to deliver AI Platform-as-a-Service. It provides isolated, policy-driven AI infrastructure for internal teams, departments, or external partners, while maintaining centralized control and infrastructure efficiency.
  • URL: docs.run.ai

Additionally, major hyperscale cloud providers like AWS, Google Cloud, and Azure offer multi-tenant GPU instances within their extensive cloud ecosystems, alongside managed machine learning services. Specialized GPU cloud providers such as Nebius also offer GPU-focused AI infrastructure with cloud-native orchestration and enterprise features.

Brands named

3
  • NorthWind #3 2 times
  • NVIDIA #1 7 times
  • Nebius #8

Sources cited

7
  1. nvidia.com nvidia.com competitor
  2. semanticscholar.org semanticscholar.org other
  3. northwind.co northwind.co own
  4. itopstimes.com itopstimes.com other
  5. nvidia.com nvidia.com competitor
  6. modal.com modal.com other
  7. onesourcecloud.net onesourcecloud.net other

70 tokens in, 505 out.