GPU Hourly Rental
Hourly access to NVIDIA H100, A100 GPUs — for AI/ML and computational science.
Hourly access to NVIDIA’s latest HPC GPUs (H100, A100, H200). Ideal for deep learning, simulation, and scientific computing.
Available GPU Platforms
- NVIDIA H100 SXM5 / PCIe (80GB HBM3)
- NVIDIA A100 SXM4 / PCIe (80GB HBM2e)
- NVLink-connected multi-GPU configurations
Typical Use Cases
Deep learning model training, molecular dynamics simulation, CFD computations, seismic data processing, financial modeling.
Key Features
Latest NVIDIA HPC GPUs
Hourly access to NVIDIA H100, A100 and H200 accelerators with high-bandwidth HBM memory, giving you frontier-class compute without purchasing the hardware.
NVLink Multi-GPU Configurations
NVLink-connected GPU pairs and clusters enable the tightly-coupled parallelism needed for large language model training and multi-GPU scientific kernels.
AI/ML and Simulation Ready
Pre-configured deep learning frameworks (PyTorch, TensorFlow), CUDA toolkits and container support let you start training or simulating within minutes.
Pay-Per-Hour Flexibility
Only pay for the GPU hours you actually use, making expensive accelerators accessible for prototyping, short experiments and variable research workloads.
Frequently Asked Questions
You are charged per GPU-hour for the time your jobs hold GPU resources on the cluster, with a granular usage report accompanying every invoice. This model is ideal for intermittent training runs, tuning experiments and overflow demand where a dedicated GPU system would be underutilized.
The service offers NVIDIA H100 (80GB HBM3), A100 (80GB HBM2e) and H200 accelerators, including NVLink-connected multi-GPU configurations for demanding workloads. Specific models can be reserved based on your application's memory and compute requirements.
Yes. The cluster is pre-equipped with CUDA, cuDNN and popular deep learning frameworks as well as container runtime support, so you can reproduce training pipelines and scale them across multiple GPUs with minimal setup effort.
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