Aquanode DocsSupported GPU Providers
Aquanode integrates multiple providers to ensure reliable, cost-efficient, and flexible GPU compute. Provider selection is handled automatically based on availability, pricing, and performance requirements.
Providers
Voltage Park
- GPUs: H100, H200, A100, RTX 4090
- Regions: US East, US West, EU Central
- Focus: Enterprise-grade infrastructure with high availability and performance
DataCrunch
- GPUs: H100, A100, RTX 4090, RTX 3090
- Regions: Netherlands, Finland, Canada
- Focus: Cost-effective GPU compute with flexible pricing
Akash Network
- GPUs: A100, RTX 4090, RTX 3090, V100
- Regions: Global, decentralized network
- Focus: Open, peer-to-peer decentralized cloud computing
Available GPUs
| GPU Model | Memory | Best For |
|---|---|---|
| H100 | 80GB HBM3 | Large language models, distributed training |
| H200 | 141GB HBM3e | Memory-intensive AI/ML workloads |
| A100 | 40GB / 80GB HBM2e | ML training and inference |
| RTX 4090 | 24GB GDDR6X | Development, inference, small models |
| RTX 3090 | 24GB GDDR6X | Cost-effective prototyping and testing |
| V100 | 16GB / 32GB HBM2 | Legacy ML workloads and compatibility |
Note
- Providers may update their hardware offerings over time.
- GPU allocation is optimized by Aquanode to balance cost, performance, and availability.