RunPod

RunPod offers on-demand GPU clusters optimized for AI, ML, large language models (LLMs), and high-performance computing (HPC) workloads. They provide instant deployment, on-demand scalability, and flexible billing measured by the second, without minimum commitments or contracts.

RunPod

Provider Profile

Founded

Unknown

Headquarters

Unknown

Pricing Model

On-demand per-second billing with no contract requirements.

Provider Console

Technical Specification

Target Audience
  • Developers
  • researchers
  • and enterprises seeking flexible
  • high-speed GPU resources for AI and HPC.
GPU Clusters & Offerings
  • Multi-node GPU clusters
  • GPU Clusters with Infiniband networking
  • Docker container integration
  • Instant and reserved clusters
  • Slurm workload orchestration
  • Per-second billing
  • SOC2 Type II compliance
Network Fabric
  • InfiniBand
  • RoCE v2
Connectivity Bandwidth
  • 1
  • 600–3
  • 200 Gbps
Storage Architecture
Network Storage with shared filesystems
Compute Framework Compatibility
All major AI frameworks compatible via Docker
Resource Orchestration
Slurm (Not compatible with Kubernetes)
Security Infrastructure
SOC2 Type II compliance
Developer Interface & APIs
Self-service provisioning through intuitive console
Support Operations
Not specified
Resource Availability
GA
Datacenter Locations
Regulatory Compliance
SOC 2 Type II
Key Platform Features
  • 1,600–3,200 Gbps Infiniband or RoCE v2 networking
  • Docker compatible
  • Slurm support
  • Native network storage solutions
  • Flexible, on-demand billing with no commitments

Last Audit: February 2026