Launch in minutes.
Get clusters up and running faster than traditional cloud providers.
Pay by the second.
Ultra-flexible, on-demand billing—no commitments.
Scale globally.
Spin up hundreds of GPUs with a single command.
Product
Deploy multi-node interconnected clusters.
Self-service provisioning, per-second billing, and complete flexibility for AI workloads.
Enterprise
Enterprise-grade. From day one.
Built for scale, secured for trust, and designed to meet your most demanding needs.
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99.9% uptime
Run critical workloads with confidence, backed by industry-leading reliability.
Secure by default
We are in the process of obtaining SOC2, HIPAA and GDPR certifications.
Scale to thousands of GPUs
Adapt instantly to demand with infrastructure that grows with you.
"The Runpod team has clearly prioritized the developer experience to create an elegant solution that enables individuals to rapidly develop custom AI apps or integrations while also paving the way for organizations to truly deliver on the promise of AI."
Amjad Masad
AI Apps
"Runpod is the only place I can deploy high-end GPU models instantly—no sales calls, no rate limits, no nonsense."
Daniel Chang
Research
“The main value proposition for us was the flexibility Runpod offered. We were able to scale up effortlessly to meet the demand at launch.”
Josh Payne
LLM Inference
“Runpod helped us scale the part of our platform that drives creation. That’s what fuels the rest—image generation, sharing, remixing. It starts with training.”
Matty Shimura
Model Training
Clients
Trusted by today's leaders, built for tomorrow's pioneers.
Engineered for teams building the future.
FAQs
Questions? Answers.
Curious about unlocking GPU power in the cloud? Get clear answers to accelerate your projects with on-demand high-performance compute.
What is the difference between a GPU pod and an Instant Cluster?
A GPU pod is a single instance with one or more GPUs within the same node. An Instant Cluster consists of multiple nodes interconnected with high-speed networking, allowing for workloads that span across multiple machines. Clusters are ideal for large model inference and distributed training that exceeds the capacity of a single node.
What is the minimum and maximum cluster size?
Anyone can access 2 nodes on-demand with up to 16 GPUs. To access larger clusters up to 8 nodes (64 GPUs), you'll need to request a spend limit increase.
How is billing handled for Instant Clusters?
Instant Clusters are billed by the second, just like our regular GPU pods. You're only charged for the compute time you actually use, with no minimum commitments or upfront costs. When you're done with your work, simply terminate the cluster to stop billing.
What network bandwidth is available between nodes?
Our data centers provide robust network connectivity with WWAN capacity ranging from 20Gbps to 400Gbps, and east-west bandwidth between servers ranging from 800Gbps to 3200Gbps depending on your configuration.
What storage solutions are available for large models?
Runpod offers native Network Storage integration where available, providing a shared filesystem layer that can be utilized across all nodes in your cluster. This is ideal for storing large models ranging from tens to hundreds of gigabytes close to your computing resources.
Can I connect my cluster to AWS?
Yes, you can establish connections between your Runpod cluster and AWS environment through application layer mTLS, enabling secure bridging of workloads between platforms.
Do you support Kubernetes or other container orchestration tools?
Currently, Instant Clusters are not compatible with Kubernetes. The cluster environment is managed by Runpod's native orchestration system, eliminating the need for additional container orchestration tools or CNI configuration.
Can I run Slurm on Instant Clusters?
Yes, Instant Clusters fully support Slurm for workload management.
Are there any minimum lease terms or contract requirements?
No, there are absolutely no minimum lease terms for Instant Clusters. You have complete flexibility to deploy and terminate clusters as needed to support your workloads, with no long-term commitments or contract obligations.
