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

Here are self‑service GPU‑as‑a‑Service (GPUaaS) platforms you can spin up on demand for AI training or inference:

1) RunPod

Best for: Flexible, low-cost on‑demand or serverless GPUs

• Launch dedicated “GPU Pods” (A100, H100, RTX 4090, etc.) or use serverless endpoints. (runpod.io)
• Pricing is usage-based; GPU pricing is shown at deployment time. (docs.runpod.io)
• Frequently cited as one of the lower-cost marketplaces with wide GPU selection. (reddit.com)

Good fit for startups and experimentation with per-hour/per-second billing.

2) Vast.ai

Best for: Marketplace pricing and lowest-cost GPU hunting

• GPU rental marketplace with real-time pricing and filtering by model, VRAM, and price. (vast.ai)
• Large cross-provider price comparisons often include Vast among the cheapest options. (reddit.com)

Trade-off: quality/availability varies by host (it’s a marketplace model).

3) Lambda GPU Cloud (Lambda Labs)

Best for: Dedicated AI-focused GPU cloud with simple UX

• Offers H100, A100 and other GPUs with transparent per‑GPU hourly pricing. (gpucompare.com)
• Frequently compared across 25+ providers for AI workloads. (reddit.com)

Strong reputation in the ML community; more “datacenter-grade” than peer marketplaces.

4) CoreWeave

Best for: Enterprise-scale training & inference

• On‑demand GPU instances with per‑GPU hourly billing. (docs.coreweave.com)
• Positions itself as an AI hyperscaler and NVIDIA partner (notable H100/Blackwell deployments). (en.wikipedia.org)

Typically higher-touch and enterprise-oriented but fully self-service for instance provisioning.

Quick Comparison

| Provider | Model | Billing | Typical Use Case |
|-------------|--------|----------|------------------|
| RunPod | Pod + Serverless | Per hour / per second | Dev, fine-tuning, inference |
| Vast.ai | Marketplace | Per hour | Cheapest experimental compute |
| Lambda | Dedicated cloud | Per GPU-hour | Stable AI training |
| CoreWeave | AI hyperscaler | Per GPU-hour | Large-scale enterprise training |

If you share your workload (e.g., LLM fine-tuning vs. inference API, expected hours/month, need for NVLink/InfiniBand), I can narrow this to 1–2 best-fit options.