Aquanode DocsGPU Types
Compare GPU models available across all Aquanode providers
Different workloads require different GPUs. Below you can compare available GPU models, their specifications, and which providers offer them.
Availability varies by provider
Not all GPU models are available at all times. Actual availability depends on provider capacity and region. Check the Aquanode Marketplace for live inventory.
GPU Catalog
| GPU Model | Memory | Ideal Use Case | Providers |
|---|---|---|---|
| NVIDIA H100 | 80 GB | Large LLM training & inference | Voltage Park, Verda, Akash, Hyperstack, Massed Compute, Cudo Compute* |
| NVIDIA H200 | 141 GB | Next-gen LLM training | Verda |
| NVIDIA B200 | 192 GB | Frontier LLM workloads | Verda |
| NVIDIA A100 | 40/80 GB | Training & inference | Akash, Verda, Vast.ai, Vultr, Massed Compute, Cudo Compute* |
| AMD MI300x | 192 GB | Large model inference | Hot Aisle |
| AMD MI355x | 288 GB | Next-gen AMD workloads | Hot Aisle |
| RTX 6000 ADA | 48 GB | Inference, CV, smaller models | Verda, Vast.ai, Massed Compute |
| RTX 4090 | 24 GB | Fine-tuning, inference | Voltage Park, Verda, Akash, Vast.ai, Hyperstack, SimplePod |
| RTX 3090 | 24 GB | Fine-tuning, inference | Akash, Verda, Vast.ai, SimplePod |
| L40 | 48 GB | Inference & rendering | Hyperstack, Vast.ai, Massed Compute, Cudo Compute* |
| A6000 | 48 GB | Rendering, inference | Hyperstack, Vast.ai, Massed Compute |
| A40 | 48 GB | Inference & visualization | Vultr |
| A16 | 64 GB | Virtualized low-VRAM workloads | Vultr |
| V100 | 16/32 GB | Legacy training & inference | Akash, Vast.ai |
| PRO6000 | 96 GB | Professional workloads | Massed Compute |
* Cudo Compute is retired and no longer accepts new deployments. Rows above reflect its historical catalog while it was active.
RunPod
RunPod is also a supported Aquanode integration (11 providers total, 10 currently active for new deployments). Its GPU catalog is fetched live from RunPod's Secure Cloud and Community Cloud tiers rather than drawn from a fixed model list, so it isn't broken out per model in the table above. Check the Aquanode Marketplace for its current live inventory.
For real-time availability, see the Aquanode Marketplace.
Metrics
Monitor GPU utilization, memory usage, and temperature in real-time for your deployments.
Multi-Provider GPU Compute Marketplace
Compare the 11 GPU compute providers Aquanode integrates. Voltage Park, Verda (formerly DataCrunch), Akash, Hot Aisle, Hyperstack, Vast.ai, Vultr, Massed Compute, Cudo Compute (retired), SimplePod, and RunPod.