Compare Compute with Hivenet vs. Lium

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.

lium.io gives developers, researchers and AI agents on-demand access to NVIDIA GPU capacity from independent providers. Rent a single GPU or a full 8-GPU node for training, fine-tuning, inference and batch workloads, with SSH and Jupyter access. Use the web, CLI, Python SDK, API or MCP integration to deploy. Per-second billing and usage-based marketplace rates make short jobs practical, without a minimum commitment. Secure and Spot options let you choose capacity for your workload. Live prices and availability are published on the marketplace. New accounts can receive $5 of credit after signup checks. GPU providers set their own rental prices and earn 95% of rental revenue plus bonuses. List capacity in the provider portal; developer guides are in the documentation.