Training wants many GPUs in one cluster with fast interconnect for a fixed period. Inference wants fewer GPUs running continuously, close to users.
Longer commitments get lower hourly prices. Short on-demand rentals cost more and depend on what is free that week.
Singapore, Japan, Hong Kong, Taiwan and Malaysia are common locations. Data residency and latency to your users decide which fits.
Ask about storage, network egress, and whether GPUs are bare metal or virtualized. They change the real cost.
| Model | Flexibility | Best for |
|---|---|---|
| On-demand | High | Experiments, short bursts |
| Reserved (months) | Low | Production inference, planned training runs |
| Spot / interruptible | Can be reclaimed | Fault-tolerant batch jobs |
Often yes, depending on availability. Tell us the duration; very short rentals are harder to source.
H100 or H200?H200 has more memory per card, which helps with larger models and bigger batches. If your model fits comfortably on H100, it is usually the more economical choice.
How fast can capacity be delivered?It depends on the model, quantity and location. We confirm availability with suppliers before quoting a date.
How do I get a quote?Fill the form below or message us on Telegram with GPU model, quantity, duration and location.