Finding cost-effective enterprise-level computing power is not easy nowadays. If you're working on AI model training or inference, this configuration plan is worth considering.

The key parameters are as follows — 8 high-end GPUs, with a single-card cost controlled at around $3.2 per hour, and the data center located in a Tier 3 facility in Europe. The minimum rental period is 4 weeks, which is quite friendly for teams requiring stable training cycles.

The core of this plan is that it combines enterprise-level computing capabilities with open infrastructure. For medium-scale AI workloads, whether it's model training or inference deployment, there are certain cost advantages. Of course, the specific choice depends on your actual needs — whether you prioritize training efficiency or inference response speed.