RunPod
Cloud GPU platform for training and deploying AI models with flexible, usage-based pricing
- Also known as
- runpod
Available worldwide · Popular in: US
What is RunPod?
A cloud GPU provider offering both serverless and on-demand compute resources for AI workloads, with pay-per-second or hourly billing, global availability across 30+ regions, and no long-term commitments.
RunPod pricing
Plans, per-tier features and add-ons, dated and linked to live pricing. Pricing changes often; always verify at source before you rely on it.
Usage-based pricing by the second or hour; no minimum commitments or long-term contracts
Serverless GPU
Pay-per-second serverless compute with automatic scaling from zero to 1,000+ requests per second
Cloud GPUs (On-Demand)
Hourly pay-as-you-go GPU instances; available as Reserved (guaranteed) or Spot (interruptible, lower cost)
Enterprise
Contact salesCustom agreements with dedicated support and 99.99% uptime SLA
What RunPod does
The capabilities that matter for gpu cloud, normalised so it lines up with every alternative. “-” means we haven't confirmed it, not that it's missing.
- Deployment model
- Serverless
- Interconnect
- -
- Max cluster scale
- Multi node cluster
- Kubernetes support
- ✓
- Slurm support
- -
- Spot preemptible pricing
- ✓
- Per second billing
- ✓
- Reserved capacity contracts
- ✓
- Amd GPU support
- ✗
- SOC2
- ✓
- Multi region
- ✓
- Pricing model
- On demand published
Platform & deployment
Independently observed- CLI
- Web
- Cloud / SaaS
Integrations (18)
Independently observed- Prometheus→•
- Grafana→•
- ELK Stack→•
- GitHub
- Docker Hub
- HuggingFace
- PyTorch
- TensorFlow
- NVIDIA CUDA
- Jupyter
- VS Code
- Whisper
- Stable Diffusion
- YOLOv5
- DreamBooth
- LLaMA
- OpenAI Python SDK
- Bazel
Security & compliance
Independently observed- SOC 2 Type II · Type IIactive
RunPod FAQ
Common questions about RunPod, answered from independent, dated evidence.
What is RunPod?
Runpod offers on-demand GPU infrastructure for artificial intelligence and machine learning applications. It provides both transient serverless compute and persistent instances for model training and development, eliminating infrastructure management requirements and charging only for time actively used. It is indexed under GPU Cloud.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
How much does RunPod cost?
RunPod is a paid product; published pricing starts at $0.40. It is sold across 2 plans (T4 GPU and A100 80GB GPU). Prices are published openly on the vendor's own pricing page. Pricing changes often, so verify at source before relying on it.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
What platforms does RunPod support?
RunPod supports the web and a command-line interface. Platforms we have not confirmed are simply not listed here rather than ruled out.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
Can RunPod be self-hosted?
We have only confirmed a cloud / SaaS deployment for RunPod, so it appears to be vendor-hosted. If a self-hosted option exists we have not found it documented publicly.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
What does RunPod integrate with?
We have confirmed 18 integrations for RunPod, including GitHub, Docker Hub, HuggingFace, PyTorch, TensorFlow, NVIDIA CUDA, Jupyter and VS Code, plus 10 more. This is what we could verify from public sources, so the vendor may support others we have not indexed.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
What security certifications does RunPod have?
We have independently confirmed SOC 2, ISO 27001, HIPAA and GDPR for RunPod. Certifications we do not list are ones we have not been able to verify from public sources, which is not the same as RunPod not holding them. Always confirm compliance directly before you rely on it.
Source: https://www.runpod.io/articles/guides/security-feature-priority-ai-hosting
Where is RunPod available?
RunPod is available worldwide. Its primary market is the United States.
Source: https://www.runpod.io/articles/guides/serverless-gpu-pricing
RunPod alternatives
Other gpu cloud we track, ranked by the same independent score.
- DataCrunchFlexible cloud platform for AI compute offering GPUs, CPUs, and containers with transparent hourly pricingmedium · 63%
- Vast.aiA distributed GPU rental marketplace with transparent, market-based pricinglow · 25%
- Paperspacemedium · 60%
- Voltage Parklow · 25%
- TensorWaveAn AMD GPU cloud platform for AI training, fine-tuning, and inference workloadslow · 21%
- Lambda (Lambda Labs)Cloud-based AI supercomputers for large-scale model training and inferencelow · 16%
Compare RunPod
Side by side against other gpu cloud, attribute by attribute, with a source on every value.
The vioscaleAI score: one lens on the evidence
Not user reviews and not a paid placement: a confidence-weighted blend of the independent signals below (adoption, activity, security posture, and more), which you can sort and re-weight yourself. Vendors can correct their listing but can never move their rank, and stars are weighted low as a vanity metric. It is one way to read the evidence for RunPod, not the verdict.
| Signal | Score | Weight | Contribution | Evidence |
|---|---|---|---|---|
| Security posture | 80 | 0.12 | 9.2 | ✓ |
| Reliability | 50 | 0.16 | 7.8 | ✓ |
| Capabilities | 100 | 0.05 | 5.1 | ✓ |
| Pricing transparency | 75 | 0.06 | 4.7 | ✓ |
| Integrations | 20 | 0.05 | 1.0 | ✓ |
| Price level | 0 | 0.04 | 0.0 | - |
Computed . Re-weight it by intent, or see the full method.
All data & sourcesshow ↓
Every value we hold, with its source, retrieval date, and confidence. This is the evidence behind the score: don't trust it, verify it.
Content
| Attribute | Value | Evidence |
|---|---|---|
| Faq | 7 items | mediumsource · 2026-09-10 · 60% |
Features
| Attribute | Value | Evidence |
|---|---|---|
| Capabilities | Soc2: Yes · Multi region: Yes · Soc2 type ii: Yes · Compute model: serverless_per_token · Pricing model: on-demand-published · Amd gpu support: No | mediumsource · 2026-10-12 · 60% |
Integrations
| Attribute | Value | Evidence |
|---|---|---|
| Count | 4 | mediumsource · 2026-10-12 · 60% |
Market
| Attribute | Value | Evidence |
|---|---|---|
| Availability | PrimaryMarkets: … · AvailabilityScope: global · AvailableCountries: … · NotAvailableCountries: … | highsource · 2026-10-12 · 75% |
Pricing
Reliability
| Attribute | Value | Evidence |
|---|---|---|
| Sla pct | 99.99 | mediumsource · 2026-10-12 · 60% |
Security
| Attribute | Value | Evidence |
|---|---|---|
| Iso27001 | Yes | highsource · 2026-08-25 · 75% |
| Soc2 | Yes | highsource · 2026-10-12 · 75% |
| Gdpr | Yes | highsource · 2026-10-12 · 75% |
| Hipaa | Yes | highsource · 2026-10-12 · 75% |
| Certifications | SOC 2 Type II | mediumsource · 2026-10-12 · 60% |
| Trust center | https://www.runpod.io/articles/guides/secure-ai-deployments-soc2-compliance | mediumsource · 2026-10-12 · 60% |
Is RunPod the right choice for you?
Tell us the job, the constraints and what you weigh most, and we will rank RunPod against the rest of the gpu cloud we index, using the same dated evidence weighted your way.
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