How much power does the V100 GPU consume?

The NVIDIA Tesla V100 GPU has a Thermal Design Power (TDP) of 250W for PCIe variants and 300W for SXM2/NVLink server variants, with some 32GB SXM3 models reaching up to 350W.

V100 GPU Power Consumption Overview

The NVIDIA Tesla V100, built on the Volta architecture, revolutionized AI and HPC workloads with its Tensor Cores. Power consumption varies by form factor: PCIe cards maintain 250W TDP for standard servers, while SXM2 modules for NVLink systems consume 300W. The 32GB SXM3 variant increased to 350W to support enhanced memory capacity.​

This TDP represents maximum thermal design power under peak load. Actual consumption fluctuates based on workload—AI training peaks near TDP, while inference or lighter tasks use less. Cyfuture Cloud optimizes V100 deployments with power-efficient configurations, ensuring cost-effective GPU cloud scaling.​

TDP by Form Factor

Cyfuture Cloud supports all variants with liquid-cooled options for dense deployments, reducing overall data center power draw.​

Power Efficiency Features

V100 includes dynamic power management modes:

Maximum Performance Mode: Full TDP (300W/350W) for peak throughput.

Maximum Efficiency Mode: Caps power for 80% performance at half consumption—ideal for cost-sensitive workloads.​

Advanced features like unified memory and MIG (Multi-Instance GPU) further optimize power-per-operation. In Cyfuture Cloud, these deliver up to 40% better rack efficiency versus CPU clusters.​

Real-World Usage Considerations

AI/ML Training: 250-300W sustained during backpropagation.

Inference: 150-220W, depending on batch size.

Cooling Requirements: PCIe needs standard server airflow; SXM demands high-CFM fans or liquid cooling.

Rack Power Budget: 8x V100 SXM2 draws ~2.4kW—plan accordingly.

Cyfuture Cloud's GPU-optimized infrastructure handles provisioning, monitoring, and auto-scaling to match power needs precisely.​

Comparison with Newer GPUs

V100 remains viable for cost-sensitive AI via Cyfuture Cloud rentals.​

Frequently Asked Questions

Q: Can V100 power be limited below TDP?
A: Yes, via NVIDIA drivers or nvidia-smi—e.g., nvidia-smi -pl 200 caps at 200W with minor performance loss.​

Q: What's the idle power draw?
A: 20-50W per GPU, depending on configuration.​

Q: Is V100 suitable for edge deployments?
A: Limited by high TDP; prefer lower-power variants like T4 (70W).​

Q: How does Cyfuture Cloud optimize V100 power?
A: Through fine-tuned clusters, MIG partitioning, and pay-per-use scaling.​

Q: What's the V100 GPU price including power costs?
A: Varies; Cyfuture Cloud offers competitive hourly rates with transparent power-inclusive pricing.​

Conclusion

Understanding V100 GPU power consumption—250W PCIe to 350W SXM—enables smarter deployment for AI, HPC, and analytics. Cyfuture Cloud maximizes this legacy powerhouse through optimized cloud infrastructure, dynamic scaling, and efficiency modes, delivering breakthrough performance without excessive costs. Transition to V100 cloud today for reliable, scalable computing.​