What Are the Power Requirements for H200 GPU?

The NVIDIA H200 Tensor Core GPU has a maximum Thermal Design Power (TDP) of 700W for its SXM variant, making it a high-power component ideal for AI and HPC workloads. Cyfuture Cloud, with its robust data centers in India, optimizes hosting for such GPUs through scalable power infrastructure supporting up to 5.6kW per 8-GPU HGX H200 server.​

Single H200 GPU: 700W TDP (SXM) or 600W (NVL variant).
4-GPU HGX H200: 2.8kW total.
8-GPU HGX H200: 5.6kW total.

Cyfuture Cloud provides enterprise-grade PDUs, UPS, and redundant feeds handling 40-80kW per rack row for seamless H200 deployment.​

H200 GPU Overview

The H200 GPU builds on NVIDIA's Hopper architecture, succeeding the H100 with enhanced HBM3E memory up to 141GB and 4.8TB/s bandwidth. Its power draw stems from advanced Tensor Cores and NVLink interconnects, enabling massive parallelism for LLMs and simulations. Cyfuture Cloud integrates H200 into GPU Droplets and HPC rigs, ensuring power efficiency with liquid cooling options.​

Power needs vary by form factor: SXM modules for dense servers hit 700W TDP, while NVL suits air-cooled setups at 600W. Real-world consumption peaks during inference or training, generating significant heat that demands precise rack-level planning.​

Detailed Power Specifications

Cyfuture Cloud's infrastructure aligns perfectly with H200 requirements. A single H200 draws up to 700W under load, but multi-GPU boards amplify this—HGX 4-GPU at 2.8kW and 8-GPU at 5.6kW, excluding CPU, storage, and networking overhead.​

These figures represent maximums; idle states consume far less, around 300-400W per GPU. Cyfuture manages this via dynamic power capping and monitoring tools.​

Infrastructure at Cyfuture Cloud

Hosting H200 demands more than raw power—racks need 208V three-phase inputs, high-amperage PDUs (up to 60A), and UPS redundancy. Cyfuture Cloud's Tier-III+ facilities in Delhi-NCR deliver exactly this, with 99.99% uptime and scalable GPU clusters.​

Cooling is critical: H200's 700W TDP produces intense heat, favoring direct-to-chip liquid cooling over air. Cyfuture offers hybrid setups reducing energy use by 40% versus traditional methods. Networking via 400GbE or InfiniBand ensures no bottlenecks.​

Power efficiency shines in benchmarks—H200 cuts LLM inference energy by 50% over H100, vital for sustainable AI at scale. Cyfuture's pay-as-you-go model avoids capex, letting enterprises focus on workloads.​

Deployment Considerations

Plan for total rack power: An 8-GPU H200 server plus dual CPUs and NVMe storage can exceed 7kW. Cyfuture recommends 42U racks with 50kW+ provisioning and DCIM tools for real-time tracking.​

Efficiency modes allow TDP throttling to 400-500W for lighter tasks, balancing cost and performance. Security features like confidential computing add minimal overhead. Cyfuture's GPU-as-a-Service simplifies migration from on-prem.​

Conclusion

Cyfuture Cloud stands out for H200 hosting, providing unmatched power reliability, cooling, and scalability in India's strategic data centers. With 700W TDP per GPU scaling to 5.6kW clusters, businesses unlock AI potential without infrastructure headaches—deploy today for transformative performance.​

Follow-Up Questions

Q1: How does H200 power compare to H100?
A: Both max at 700W TDP, but H200's HBM3E efficiency yields 50% lower energy for LLMs, optimizing Cyfuture's green hosting.​

Q2: What cooling solutions does Cyfuture use for H200?
A: Liquid cooling for 8-GPU HGX (up to 5.6kW), hybrid air-liquid for flexibility, ensuring PUE under 1.2.​

Q3: Can I throttle H200 power on Cyfuture Cloud?
A: Yes, via NVIDIA tools—cap at 400W for cost savings on inference, fully supported in our control panel.​

Q4: What's the rack density for H200 at Cyfuture?
A: Up to 80kW per row, with 1-8 GPU configs in 42U racks, redundant power for zero downtime.​