Taiga Cloud review

GPU time starts at $2.60, above the €0.63 across the listings compared. The entry plan is 6 vCPU, 90 GB RAM at $474.55, and the cost score is 1.1, so plan size drives the bill more than the headline rate.

The listed accelerators are NVIDIA H100 SXM and NVIDIA H200 SXM, a narrow datacentre set. Another provider runs a much wider catalogue in H100 SXM, A100 SXM and H200, and a third lists NVIDIA RTX 3060, NVIDIA RTX 3070 and NVIDIA RTX 3070 Ti for consumer-class work. Taiga Cloud suits jobs written for an H100 or H200 SXM part.

Billing is per minute, so an idle accelerator stops costing once a job pauses. Plans are sold on hourly and monthly billing, which lets a benchmark turn into a recurring monthly workload without moving suppliers. Granularity matters most for short training runs.

Taiga Cloud runs in the United Kingdom, PT and SE across 6 locations, keeping compute inside Europe. The operator is Northern Data AG, registered in Germany. Buyers who need capacity in a market outside that list have fewer choices here than at a hyperscaler.

The catalogue covers vps and bare metal, so CPU-only virtual machines and bare metal sit beside the accelerators. The listed purchase model is hourly, which suits teams moving a whole data and serving pipeline to one provider instead of splitting it across suppliers.

Support runs on email and phone. That covers written requests and voice calls, which suits teams with a named technical contact. A live chat channel is not part of the listed support channels, so urgent debugging may need a phone call.

Its overall score is 3.6, split into 6.2 for the offer and 1.1 for cost. On the GPU hour comparison it sits 82 of 95 brands, the clearest signal to weigh before committing budget.

The interconnect is InfiniBand with fast connectivity to the EU cloud backbone. Distributed training that keeps a large model in step across nodes depends on that fabric as much as on the accelerator itself, so it belongs in the evaluation alongside NVIDIA H100 SXM and NVIDIA H200 SXM.