Marketplace
GPU-as-a-Service (GPUaaS)
Stable, high-volume capacity at aggressive prices.
40% Below Market Average
8+ GPU Models Available
99.9% Uptime Reliability
GPU-as-a-Service (GPUaaS)
Stable, high-volume capacity at aggressive prices
Plurihands GPU-as-a-Service Marketplace helps teams access competitively sourced compute across providers, spot markets, and collaborative capacity sources, so they can run AI workloads without committing to expensive infrastructure upfront. This model is especially useful for training, batch inference, data processing, experimentation, and other workloads that benefit from cost efficiency and flexible capacity.
- Access lower-cost GPU capacity across multiple sources.
- Reduce infrastructure overhead and upfront commitment.
- Fit non-realtime workloads such as training, batch jobs, and processing pipelines.
- Start with compute access and scale as demand becomes clearer.
Available at 40% below market average
| GPU Model | VRAM | RAM | vCPUs | Price/hr |
|---|---|---|---|---|
| H200 | 141 GB | 128 or 256 GB | 24 | $3.49 to $3.99 |
| RTX Pro 6000 | 96 GB | 64 or 128 GB | 16 | $1.39 to $1.89 |
| H100 SXM | 80 GB | 48 or 96 GB | 20 | $2.49 to $2.99 |
| A100 PCIe | 80 GB | 36 or 72 GB | 8 | $1.09 to $1.39 |
| RTX 6000 Ada | 48 GB | 24 or 48 GB | 10 | $0.47 to $0.77 |
| RTX A6000 | 48 GB | 24 or 48 GB | 9 | $0.29 to $0.49 |
| RTX 5090 | 32 GB | 16 or 32 GB | 9 | $0.69 to $0.99 |
| RTX 3090 | 24 GB | 16 or 32 GB | 16 | $0.26 to $0.46 |
Use Cases for GPUaaS
Large Language Model Training
Leverage H100 and H200 clusters for state-of-the-art training and fine-tuning workloads.
Batch Data Processing
Process petabytes of data using cost-optimized RTX 3090 and A6000 fleets.
Scientific Simulation
High-precision compute for molecular dynamics, weather modeling, and engineering simulations.