China AI Infrastructure

AI work that has to run inside China needs three things that are usually bought from three different vendors: GPU capacity, a place to run it, and compliant access to the models. We aggregate all three. NVIDIA H100, H200, A100, and L40S capacity from our partner pool, as single GPUs or multi-node clusters with RDMA interconnects. Colocation and Smart Hands to house, cable, and maintain it. And AI Gateway in front of the model layer, aggregating China's ecosystem — DeepSeek, Kimi, GLM, Doubao, Tongyi, Hunyuan — alongside the global leaders, behind one key with unified billing, rate limiting, and automatic failover. Compute, hosting, and model access from one partner, inside China's data residency rules.

Teams training, fine-tuning, or serving models for the China market: AI product teams hedging across China-native and global models, enterprises with data that cannot leave the mainland, and research groups that need GPU capacity without multi-month lead times.

We scope the workload first — training, fine-tuning, or inference — because that decides the GPU shape, the interconnect, and the hosting. Capacity is sourced across our provider pool and provisioned with the ML stack pre-installed, then placed in a facility that matches your power density and compliance requirements, with Smart Hands covering physical operations. On the model side we configure AI Gateway with the providers you choose, set routing and rate limits, and keep billing consolidated.