Intelagen offers GPU‑as‑a‑Service and TPU‑as‑a‑Service that give enterprises on‑demand, scalable high‑performance compute for training, fine‑tuning, and inference of large AI models. The platform includes a unified governance console for policy enforcement, audit trails, compliance reporting, and real‑time cost monitoring, enabling regulated industries to run AI workloads securely without managing hardware.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises that need to train, fine‑tune, or run large AI models face two major constraints: limited access to high‑performance GPU/TPU hardware and the difficulty of enforcing governance, compliance, and cost controls over AI workloads.
Solution
Intelagen provides GPU‑as‑a‑Service (GPUaaS) and TPU‑as‑a‑Service (TPUaaS) that deliver on‑demand, scalable compute capacity without the need for organizations to purchase and maintain their own hardware. The platform integrates built‑in governance tools that monitor model deployment, enforce regulatory policies, and track usage costs in real time. By combining raw processing power with a unified governance layer, Intelagen enables data‑intensive and regulated enterprises to accelerate AI initiatives while protecting intellectual property and meeting compliance requirements. The service is offered through a cloud‑native interface that allows teams to provision resources, run workloads, and obtain detailed analytics from a single dashboard.
Target Audience
Primary customers are large enterprises in regulated industries—such as finance, healthcare, and biotech—that require high‑performance AI compute and strict governance over model deployment.
Features
- On‑demand access to high‑end NVIDIA GPUs and Google TPUs via a subscription model
- Centralized governance console for policy enforcement, audit trails, and compliance reporting
- Real‑time cost monitoring and budgeting tools to prevent overspend on compute resources
- Secure multi‑tenant architecture that isolates workloads and protects sensitive data
- API and CLI integration for automated provisioning and orchestration within existing CI/CD pipelines
- Support for enterprise AI workloads such as large language model training, inference, and fine‑tuning