# AI Hardware & Accelerated Computing, The right accelerators, from data-centre GPUs to cost-effective workstations We select and deploy accelerated computing for AI, from data-centre GPU systems to cost-effective on-prem fine-tuning, with the software stack to use it well. **Solution pillar:** Agentic AI & Governance **Technology partners:** NVIDIA and MiPhi ## What we deliver - **Accelerator selection:** Match GPUs and memory to model and budget. - **Optimised inference:** Containerised, optimised model serving. - **Affordable fine-tuning:** On-prem fine-tuning without data-centre GPU budgets. - **Edge AI:** Vision and AI workloads at remote sites. ## Use cases - **Video analytics agents** (with NVIDIA): Agents that watch, summarise and alert on camera feeds. - **High-performance RAG** (with NVIDIA): GPU-accelerated retrieval and inference for enterprise search. - **Departmental private LLMs** (with MiPhi): Fine-tune models on legal, HR or engineering documents locally. - **Edge AI at remote sites** (with MiPhi): Run capable models at sites with limited connectivity. ## Services - [Machine Learning & MLOps](https://www.nitronedge.com/services/ai-ml/) - [Generative AI & Copilots](https://www.nitronedge.com/services/generative-ai/) ## FAQ ### Can we fine-tune LLMs without a GPU cluster? Often yes. Solutions such as MiPhi aiDAPTIV+ extend GPU memory with flash, enabling fine-tuning of large models on workstation-class hardware. ### Which AI Hardware & Accelerated Computing technologies does NitronEdge work with? We deliver AI Hardware & Accelerated Computing with NVIDIA and MiPhi, and recommend the right fit after understanding your requirements. ### Does NitronEdge provide AI Hardware & Accelerated Computing services in my country? Yes. We deliver AI Hardware & Accelerated Computing consulting, implementation and managed services across the Middle East, Africa, USA, India and Canada, on-site and remotely.