Find self-service GPU-as-a-Service solutions for AI workloads.

Here are several notable self‑service GPU‑as‑a‑Service (GPUaaS) platforms tailored for AI workloads, offering ease of access, flexibility, and cost-efficiency:

• Runpod – On-demand cloud GPUs with instant provisioning (within ~30 seconds), per-second billing, and support for GPU types like H100, A100, RTX 4090, L4, and more, across 31 regions. No queues, no sales calls. (runpod.io)
• Shape (Shape Labs) – A GPU cloud marketplace offering sub‑second session launches, pay‑per‑second billing, multiple providers, and OpenAI-compatible endpoints for inference, fine‑tuning, and real‑time workloads. (shapelabs.dev)
• Run:ai – A platform for building internal self‑service GPUaaS. EPFL (École polytechnique fédérale de Lausanne) used it to enable researchers to request fractional or full GPUs via a self‑service interface—boosting utilization and simplifying provisioning. (pages.run.ai)
• Saturn Cloud – Enables enterprises to offer branded self‑service AI workspaces (JupyterLab, VS Code, SSH) backed by GPUs (H100, H200), allowing users to sign up, launch workloads, and manage jobs via a portal. (saturncloud.io)
• BlackCore (On‑Demand GPU) – Provides self‑serve bare-metal access to NVIDIA H200 GPU clusters, with deployment within 15 minutes and competitive pricing (starting from approx. $2.80/hr). (blackcore.ai)
• Hosted.ai GPUaaS – A turnkey, multi‑tenant “neocloud” stack that turns GPU infrastructure into a self‑service offering with automated scheduling, billing, white‑label UI, and developer tools. (hosted.ai)

Each platform offers distinct advantages:

• Speed & flexibility: Runpod and Shape offer ultra‑fast spin‑up times and granular billing.
• Enterprise customization: Run:ai and Saturn Cloud are great for internal or branded self‑service portals.
• High‑performance infrastructure: BlackCore delivers powerful bare‑metal H200 nodes.
• Monetization & management: Hosted.ai is ideal for entities looking to turn infrastructure into a cloud-like product.

For more details or to assess which best fits your use case, please let me know!