Server setups by workload
Recommended hardware, sizing math and the questions to ask providers for the workloads we see most.
AI model training
Training jobs need many GPUs working as one, which makes interconnect, storage throughput and contract terms as important as the GPU model.
Recommended setup →AI inference
Inference is usually limited by memory, not compute. The right GPU is the one that fits your model and its KV cache on the fewest cards.
Recommended setup →Game hosting
Game servers reward fast single cores, low latency and solid DDoS filtering. Most communities start on a VPS and move to dedicated hardware as player counts grow.
Recommended setup →Web apps and SaaS
Early-stage apps fit comfortably on a VPS. Once traffic is steady and the cloud bill is a real line item, dedicated servers usually cut hosting costs significantly.
Recommended setup →Databases
Databases want fast storage, enough RAM for the working set, and consistent performance. Dedicated hardware delivers all three without the per-IOPS pricing of cloud block storage.
Recommended setup →Rendering and media
Rendering and media pipelines run well on single-card GPU servers. The L40S, with RT cores and 48 GB of memory, is the usual starting point.
Recommended setup →Ready to compare quotes?
Tell us what you need once. We'll come back with options from providers that can deliver, usually within one business day.