GPU Cloud Computing: When Does It Make Sense?

GPU cloud computing has transformed AI development and high-performance computing. But it's not always the right choice. Here's how to decide.

When GPU Cloud Makes Sense

**Variable Workloads**: If your GPU needs fluctuate, cloud is ideal. Pay only for what you use instead of idle hardware.

**AI/ML Training**: Training models requires expensive GPUs like H100s. Renting them for specific projects is more cost-effective than purchasing.

**Rapid Scaling**: Need to scale from 1 to 100 GPUs quickly? Cloud enables this in minutes, not months.

**Testing New Hardware**: Want to try the latest B200 without commitment? Cloud lets you experiment.

When On-Premise Makes Sense

**Consistent 24/7 Workloads**: If GPUs run constantly, purchasing may be cheaper long-term.

**Data Sovereignty**: Some industries require data to stay on-premise for compliance.

**Latency-Critical Applications**: Real-time inference sometimes needs local hardware.

Black Node GPU Cloud Pricing

We offer NVIDIA GPUs from $0.59/hr (RTX 4090) to $5.99/hr (B200). No contracts, no minimums. SSH access included.

Contact us to discuss your specific use case and we'll help you calculate the best approach.