Compare Compute with Hivenet vs. supercomputer

Hivenet Compute gives you on-demand RTX 5090 and RTX Pro 6000 GPUs, plus vCPU instances, billed per second while they run. Hivenet owns and operates the infrastructure, with data centres in France, the UAE and the US, so EU teams can keep workloads and data in Europe. Use it for training and fine-tuning, inference, notebooks, rendering and batch jobs. Launch from ready-made templates in a few minutes, or automate everything through the public Compute API. If you'd rather not run the serving layer yourself, the Inference API gives you an OpenAI-compatible endpoint. Teams get organisations with role-based access, prepaid credits, and S3-compatible object storage alongside compute.

Supercomputer is a cloud-based computational service that offers both GPU and CPU sessions designed for machine-learning tasks and other resource-heavy operations. It enables developers, researchers, and teams to initiate and oversee sessions through a command-line interface or Python SDK, allowing them to run their code on customizable GPU instances while maintaining their workspace files across sessions. This service facilitates various activities such as model training, fine-tuning, inference, experiments, evaluations, batch processing, hyperparameter optimization, and data-processing tasks. Users have the ability to upload their scripts and datasets, perform commands in persistent sessions, and either retrieve outcomes or save them in shared volumes. Notably, compute charges are incurred only when sessions are active, and any inactive sessions keep their workspace available for future use. The pricing operates on a system of prepaid credits, calculating charges by the second, with variations in rates depending on the chosen GPU configuration. Additionally, this flexibility ensures that users can optimize both their workflows and costs effectively.