# GPU Cloud (Neocloud), GPU capacity and token economics for training and inference We help you use AI-native GPU clouds for fine-tuning and high-volume inference, sizing, benchmarking and operating workloads for the best cost per token. **Solution pillar:** Agentic AI & Governance **Technology partners:** Nebius ## What we deliver - **Capacity planning:** Right-size GPU clusters for training and inference. - **Fine-tuning projects:** Domain and Arabic-language tuning of open models. - **High-volume inference:** Serving open models at predictable cost. - **Hybrid burst:** Burst from on-prem to GPU cloud when demand spikes. ## Use cases - **Domain model fine-tuning** (with Nebius): Fine-tune open models on Arabic and domain data. - **High-volume agent inference** (with Nebius): Lower-cost inference for millions of agent calls. ## Services - [Machine Learning & MLOps](https://www.nitronedge.com/services/ai-ml/) - [Generative AI & Copilots](https://www.nitronedge.com/services/generative-ai/) ## FAQ ### When does a neocloud beat a hyperscaler? Usually for sustained GPU-heavy work, fine-tuning and very high-volume inference, where dedicated GPU capacity and pricing lower the total cost. ### Which GPU Cloud (Neocloud) technologies does NitronEdge work with? We deliver GPU Cloud (Neocloud) with Nebius, and recommend the right fit after understanding your requirements. ### Does NitronEdge provide GPU Cloud (Neocloud) services in my country? Yes. We deliver GPU Cloud (Neocloud) consulting, implementation and managed services across the Middle East, Africa, USA, India and Canada, on-site and remotely.