RunPod
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.
GPU Hardware
| GPU Models | B300 B200 H200 H100 SXM H100 PCIe H100 NVL MI300X A100 SXM A100 PCIe RTX 5090 RTX PRO 6000 L40S L40 RTX 6000 Ada RTX 5000 Ada RTX A6000 RTX A5000 RTX 4090 RTX 4080 SUPER RTX 4080 RTX 4070 Ti RTX 3090 Ti RTX 3090 RTX 3080 Ti RTX 3080 RTX 3070 A40 A30 A2 L4 |
| Max VRAM | 288 GB |
| Max GPUs per Instance | 8 |
| Interconnect | NVLink |
| Multi-Node Training | Yes |
Pricing
| Starting Price | $0.06/hr |
| Billing Granularity | Per-second |
| Spot/Preemptible | Yes |
| Reserved Discounts | 15-29% (1-month to 1-year plans) |
| Free Credits | $5-$500 bonus after first $10 spend |
| Egress Fees | Free |
| Storage | Container/Volume ($0.10/GB/mo), Idle Volume ($0.20/GB/mo), Network Storage ($0.07/GB/mo <1TB, $0.05/GB/mo >1TB) |
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 | 99.99% |
| Serverless / Autoscaling | Yes |
| Private Networking / VPC | Yes |
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 |
| Custom Images / Templates | Yes |
| Persistent Storage | Yes |
Business Terms
| Min Commitment | None |
| Compliance | SOC 2 Type II |
| Best For | Training Inference Fine-tuning Batch Rendering |
| Support Channels | Discord Email Support Tickets Documentation |
| Payment Methods | Credit Card Crypto ACH Wire Transfer Business Invoicing (>$5K) |
How does it compare?
Compare RunPod against other cloud GPU providers.
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