NVIDIA H100 GPU-Specs, Price, and 2025 Market Availability

The NVIDIA H100 GPU, built on the Hopper architecture, is a state-of-the-art AI training and inference processor featuring 80GB HBM3 memory, up to 700W configurable power, and massive performance enhancements including up to 3,958 TFLOPS in FP8 Tensor Core throughput. In 2025, the H100 PCIe 80GB variant is priced around $25,000 to $30,000 with availability still constrained due to high global demand, though Cyfuture Cloud offers reliable access via cloud GPU hosting and servers for enterprises aiming to harness its power without large capital expense.

NVIDIA H100 GPU Specifications

The NVIDIA H100 GPU is based on the advanced Hopper GPU architecture designed to deliver groundbreaking AI performance and scale. Key technical highlights include:

GPU Memory: 80GB of ultra-fast HBM3 memory with peak bandwidth up to 3.35 TB/s (SXM version) or 3.9 TB/s (NVL version)

Compute Performance: Up to 34 TFLOPS FP64, 67 TFLOPS FP32, and a staggering 3,958 TFLOPS FP8 Tensor Core performance with Transformer Engine for dynamic precision scaling

Thermal Design Power: Configurable up to 700W (SXM model) or 350-400W for PCIe models

Multi-Instance GPU (MIG): Supports partitioning GPU into up to 7 instances for workload flexibility

PCIe Gen5 Interface: Ensures high-speed connectivity and low latency

Other Features: 7 NVDEC video decoders, support for NVIDIA confidential computing and advanced security

Physical Form Factor: PCIe full-height, full-length dual-slot cards or SXM modules for dense server deployment
These specs make the H100 ideal for large-scale AI training, scientific HPC workloads, real-time model inference, and multi-tenant cloud environments.

Pricing Trends of NVIDIA H100 in 2025

As of early 2025, the NVIDIA H100 PCIe 80GB model is priced between $25,000 and $30,000 retail. Pricing varies based on supply, purchasing volume, and reseller status:

Premium PCIe units on secondary markets can command $30,000-$35,000 or higher

OEM bulk orders (e.g., Dell, Supermicro) may reduce effective unit costs to $22,000-$24,000 with contracts on 4+ GPUs

Used or resale units often trade above $30,000 depending on warranty and condition

For cloud GPU access, hourly rental rates include infrastructure costs, offering instant scalability without upfront hardware purchases

These price points reflect the H100's unmatched AI computing power balanced against ongoing supply-demand pressures worldwide.

Market Availability and Supply Chain Status

Despite easing global semiconductor shortages in 2024, the NVIDIA H100 remains in tight supply in 2025 due to:

High demand for AI workloads including large language models and generative AI

Prioritized allocations by OEMs and cloud providers to large enterprise customers

Lead times of 4–8 months for direct orders in some cases

Secondary market units selling quickly, sometimes above MSRP prices

Steady but limited shipments to key partners like Dell, HPE, and Supermicro

Hybrid deployment strategies, combining local GPU servers with cloud-based burst capacity (available from providers like Cyfuture Cloud), provide the most practical balance to mitigate these constraints without excessive cost or delays.

H100 vs Previous Generation GPUs

Compared to the predecessor NVIDIA A100 GPU, the H100 delivers transformative advantages:

Architecture: Hopper vs Ampere, with substantially improved Tensor Cores and Streaming Multiprocessor design

Memory: HBM3 with nearly double the bandwidth (up to 3.35 TB/s vs 1.6 TB/s in A100)

Precision: New FP8 precision with Transformer Engine enables up to 9x faster AI training and 30x faster inference workloads on transformer models

Compute: Up to 14592 FP32 cores vs 6912 on A100, doubling computational throughput

Energy Efficiency: Configurable power optimized for different workloads

This leap forward establishes the H100 as the premier choice for demanding AI and HPC workloads.

Where to Access NVIDIA H100 GPUs in 2025

Obtaining NVIDIA H100 GPUs can be challenging due to high demand and supply constraints. Options for enterprises include:

Direct Purchase: Through system integrators or OEMs, best suited for large-scale deployments with long procurement lead times

Resale Market: Available but costly and with warranty considerations

Cloud Hosting Providers: Instant access to H100 GPUs with transparent pricing and scalable billing

Managed GPU Services: Offer hybrid deployment models combining on-prem and cloud GPU resources

Cyfuture Cloud stands out as a trusted cloud provider offering fast, reliable access to H100 GPUs through both bare-metal servers and GPU cloud instances, supporting AI/ML workloads with transparent pricing and guaranteed availability.

Frequently Asked Questions

What is the memory bandwidth of the NVIDIA H100?

The H100 delivers up to 3.35 TB/s bandwidth on SXM models and 3.9 TB/s on NVL models using HBM3 memory.

How much power does the H100 consume?

It is configurable up to 700W for SXM versions and between 350W-400W for PCIe versions.

What makes the H100 suitable for AI workloads?

Its advanced Tensor Cores with FP8 precision and the Transformer Engine accelerate large language model training and inference by several fold over previous GPUs.

Can Cyfuture Cloud help me access NVIDIA H100 GPUs?

Yes, Cyfuture Cloud provides hosted H100 GPU servers and cloud GPU instances with transparent pricing and availability.

Conclusion

The NVIDIA H100 GPU sets a new standard in AI and high-performance computing with unmatched speed, memory, and versatility. While 2025 market pricing remains steep at $25,000 to $30,000 per PCIe unit and availability is constrained, strategic approaches like cloud GPU hosting from Cyfuture Cloud offer efficient access to this powerhouse technology. Enterprises seeking to deploy large-scale AI, scientific simulation, or real-time inference workloads can harness H100’s capabilities today by combining direct procurement, cloud services, and hybrid infrastructures.

For cutting-edge AI projects, the NVIDIA H100 is not just an upgrade—it is a transformative leap. Cyfuture Cloud provides a timely, cost-effective gateway to this technology, empowering organizations to innovate and scale confidently in a competitive landscape.