runpod GPU Cloud Provider
RunPod provides affordable and scalable GPU instances for AI and ML workloads, offering both secure cloud and community-hosted options with rapid deployment and serverless capabilities.
Provider Overview
| Name | runpod |
| Total Instances | 14 |
| Minimum Price | $0.36/hr |
| Maximum VRAM | 94 GB |
| Available GPU Models |
RunPod provides affordable and scalable GPU instances for AI and ML workloads, offering both secure cloud and community-hosted options with rapid deployment and serverless capabilities.
Get Started with runpod
Ready to rent GPUs from runpod? Click below to explore available instances and pricing.
Start on RunPod →About the Provider
Available Instances
| Accelerator | Price/Hour | VRAM | Type | Action |
|---|---|---|---|---|
| H100 | $2.79 | 94 GB | Hopper | View GPU → |
| H100 | $2.39 | 80 GB | Hopper | View GPU → |
| H100 | $2.99 | 80 GB | Hopper | View GPU → |
| A100 | $1.64 | 80 GB | Ampere | View GPU → |
| A100 | $1.89 | 80 GB | Ampere | View GPU → |
| A40 | $0.44 | 48 GB | Ampere | View GPU → |
| L40 | $0.99 | 48 GB | Ada Lovelace | View GPU → |
| L40 | $0.86 | 48 GB | Ada Lovelace | View GPU → |
| RTX 6000 Ada | $0.76 | 48 GB | Ampere | View GPU → |
| RTX 6000 Ada | $0.77 | 48 GB | Ada Lovelace | View GPU → |
| A5000 | $0.36 | 24 GB | Ampere | View GPU → |
| RTX 4090 | $0.69 | 24 GB | Ada Lovelace | View GPU → |
| RTX 3090 | $0.43 | 24 GB | Ampere | View GPU → |
| L4 | $0.43 | 24 GB | Ada Lovelace | View GPU → |
Available GPUs
Explore GPU specifications and compare pricing for runpod
Compare with Other Providers
Explore alternative GPU cloud providers and compare pricing
Related Resources
Compute Capability
Check CUDA compute capability and AI feature support for different GPUs
View Reference →About runpod GPU Cloud
GPUvec currently tracks 14 runpod instance configurations across 9 GPU models. The lowest observed rate in the dataset is $0.36/hour; the final price can vary by region, GPU count, host configuration, and billing terms.
The recorded catalog includes A100, A40, A5000, H100, L4. GPUvec has location data for 2 regions: us, global.
When evaluating runpod, compare memory capacity, accelerator generation, hourly rate, regional availability, billing granularity, storage, and network requirements. Framework support also depends on the selected image and driver stack, so verify CUDA and container versions before migration.
Use GPUvec's provider directory and GPU comparison tool to compare runpod with alternatives on the same accelerator model. A like-for-like comparison avoids misleading conclusions caused by different GPU counts, CPUs, RAM allocations, or commitment terms.
External Resources
Learn more about GPUs from these authoritative sources:
Official CUDA programming guide
NVIDIA GPU Specifications →Official NVIDIA GPU specs
TechPowerUp GPU Database →Comprehensive GPU specifications
CUDA Compute Capability Guide →GPU compute capability reference
Ready to Get Started?
Visit runpod's website to create an account and start using their GPU instances.
Visit runpod →What You Need to Know About runpod
Complete Overview of runpod GPU Cloud Services and Pricing
Get detailed information about runpod's GPU cloud offerings, including available GPU models like RTX 4090, H100, A100, and L40S instances. Compare pricing structures, regional availability, and unique features that distinguish runpod from other providers. Whether you need per-second billing, reserved instances, or spot pricing, understanding each provider's model helps you optimize your GPU spending.
Pricing per Hour for runpod GPU Instances
Review the pricing structure for runpod's GPU instances and compare hourly rates across different GPU models. GPUvec provides transparent pricing data so you can evaluate whether runpod offers competitive rates for your AI training, inference, or rendering workloads compared to alternatives like RunPod, Vast.ai, or Lambda Labs.
How runpod Compares to Other GPU Cloud Providers
See how runpod stacks up against other GPU cloud providers in terms of pricing, GPU availability, geographic coverage, and unique features. Our detailed comparison helps you choose the best provider for your specific needs, whether you prioritize the lowest price per hour for RTX 4090 instances or the most reliable H100 availability for production workloads.