There are two methods to execute inference using Hivenet. The first option is self-managed, where you can deploy RTX 5090 instances starting at €0.75 per hour with the vLLM template, allowing you to serve your own models and billing is calculated by the second. The second option is managed through the Inference API, which provides a dedicated endpoint compatible with OpenAI. This allows you to easily transition your existing code by simply updating the base URL, eliminating the need to handle the serving layer yourself. The RTX 5090 features 32 GB of GDDR7 and a memory bandwidth of 1.79 TB/s, making it an excellent choice for serving models ranging from 7 billion to 14 billion parameters, as well as larger quantized models. For even bigger models and high-utilization needs, the RTX Pro 6000 is available. There are no egress fees, meaning you won't incur charges for the responses sent to users. Hivenet offers regions in France, the UAE, and the US to ensure low latency and comply with EU data residency regulations.