Cyfuture AI is an AI cloud: GPU capacity on H100, H200, A100 and L40S hardware, rented as on-demand Kubernetes-native clusters or consumed as serverless inference billed per token. On top of the infrastructure sits a model library carrying Llama, Mistral, DeepSeek and more than a hundred generative models, fine-tuning, data pipeline automation, an AI IDE Lab, and packaged voicebot and chatbot products.
Region is the substantive reason to look at it. Cyfuture operates from India with UAE and Saudi presence, and organisations with data residency requirements in those markets have a materially shorter list of credible GPU suppliers than teams in the US or EU. The parent is an established datacentre and IT services business rather than a 2025 startup renting capacity it does not own, which is worth something when you are committing training workloads.
The breadth is the reservation. A single vendor selling raw H100 hours, a serverless inference API, a model catalogue, a cloud IDE, a voicebot and a chatbot is competing with a focused specialist in each of those lanes, and the platform layers are unlikely to be the reason you choose it – the GPUs are. Inference is priced openly per million tokens, model by model, but GPU cluster rates are quote-only – which is the gap that matters, because price per GPU-hour is most of the decision on a commodity. Benchmark against your actual workload before migrating anything.
