GPU Hardware
| GPU Models | B200 H200 H100 SXM H100 PCIe A100 SXM A100 PCIe RTX Pro 6000 L40S L40 RTX 6000 Ada A40 RTX 4090 RTX 3090 L4 RTX A5000 |
| Max VRAM | 192 GB |
| Max GPUs per Instance | 8 |
| Interconnect | NVLink |
Pricing
| Starting Price | $0.16/hr |
| Billing Granularity | Per-second |
| Spot/Preemptible | Yes |
| Reserved Discounts | Up to 30% |
| Free Credits | $5-$500 bonus after first $10 spend |
| Egress Fees | Free |
| Storage | Container/Volume: $0.10/GB/mo, Network Storage: $0.07/GB/mo |
Community Cloud offers the lowest rates (e.g. RTX A5000 from $0.16/hr) with hardware sourced from distributed partners. Secure Cloud runs in T3/T4 data centers with higher reliability at slightly higher prices.
Spot instances offer significant savings (e.g. RTX 3090 at $0.22/hr spot) but can be interrupted. Reserved pricing with 6-month or 1-year commitments saves up to ~30% (e.g. B200: $5.98/hr on-demand to $4.24/hr on 1-year reserved).
Storage is billed separately: $0.10/GB/month for pod volumes, $0.07/GB/month for network storage. No egress fees.
Infrastructure
| Regions | 31 global regions |
| Uptime SLA | 99.9% |
Developer Experience
| Pre-installed Frameworks | PyTorch TensorFlow JAX ONNX CUDA |
| Docker Support | Yes |
| SSH Access | Yes |
| Jupyter Notebooks | Yes |
| API / CLI | Yes |
| Setup Time | Instant |
| Kubernetes Support | No |
Business Terms
| Min Commitment | None |
| Compliance | SOC 2 Type II |
| Best For | Training Inference Fine-tuning Batch Rendering |
Overview
RunPod is a GPU-focused cloud platform founded in 2022, headquartered in Moorestown, New Jersey. It offers on-demand and spot GPU instances with per-second billing, making it one of the most flexible platforms for AI/ML workloads. RunPod supports everything from single-GPU development pods to 64-GPU multi-node clusters connected via InfiniBand.
The platform is popular among researchers, indie developers, and startups for its competitive pricing, instant provisioning, and zero egress fees. RunPod also offers serverless inference endpoints that scale to zero when idle.
How does it compare?
Compare RunPod against other cloud GPU providers.
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