NVIDIA H100 GPU Overview-Price, Features, and Availability

The NVIDIA H100 GPU is a cutting-edge, high-performance graphics processor designed for AI, machine learning, and HPC workloads. Pricing varies from approximately $27,000 to $40,000 per unit depending on configuration and vendor. It features 80 GB HBM3 memory, fourth-generation Tensor Cores, Transformer Engine with FP8 precision, and boasts exceptional performance and efficiency. The H100 is widely available through authorized distributors and cloud providers, including Cyfuture Cloud, which offers flexible and scalable H100 GPU cloud servers with transparent pricing and full-stack support.

Overview of NVIDIA H100 GPU

The NVIDIA H100 GPU, based on the Hopper architecture, is designed to accelerate the most demanding AI and high-performance computing (HPC) workloads. Built on TSMC’s advanced 4nm process, it delivers unparalleled performance with 14,592 CUDA cores, 456 fourth-generation Tensor Cores, a dedicated Transformer Engine, and 80 GB of high-bandwidth HBM3 memory. The chip’s architecture is built to handle complex training and inference tasks for large language models (LLMs), generative AI, scientific simulations, and data analytics at unprecedented speeds.

NVIDIA H100 GPU Pricing Details

The base price of a single NVIDIA H100 GPU ranges from $27,000 to $40,000 depending on the configuration (PCIe or SXM) and vendor pricing.

The H100 SXM5 model starts around $27,000, scaling up to $108,000 for 4-GPU configurations and $216,000 for 8-GPU boards.

The H100 NVL GPU, with dual GPU power in one card, starts around $29,000 per board and goes up to $235,000 for multi-GPU setups.

In India, prices vary between ₹25,00,000 to ₹34,22,000 INR (~$29,000 to $40,000), influenced by taxes and vendor premiums.

Cloud hourly pricing for NVIDIA H100 GPU servers ranges from about $2.34 to $27.15 per hour on Cyfuture Cloud, with discounts for reserved long-term usage plans.

Features and Technical Specifications

Core Architecture & Performance

GPU Architecture: NVIDIA Hopper (GH100)

CUDA Cores: 14,592

Tensor Cores: 456 (4th generation with Transformer Engine and FP8 precision)

RT Cores: 144 (3rd generation)

Clock Speeds: Base clock at 1,755 MHz, boost up to 1,980 MHz

Memory: 80 GB HBM3 with 3 TB/s bandwidth via a 5,120-bit memory interface

L2 Cache: 50 MB

AI Performance: Up to 1,000 teraFLOPS (with sparsity), 9x faster training and 30x faster inference on large language models compared to previous generations.

Connectivity and Power

Support for PCIe Gen 5 and 4th Gen NVLink with 900 GB/s bandwidth for multi-GPU scaling

Power consumption ranges from 350W (PCIe) to 700W (SXM5)

Enhanced NVLink and NVSwitch for superior interconnect and data transfer across GPUs

Use Cases

The NVIDIA H100 GPU excels at deep learning, generative AI, natural language processing, scientific computing, high-performance data analytics, and large-scale language model training with native support for MIG (Multi-Instance GPU) configurations.

Availability and Deployment Options

The NVIDIA H100 GPU is available for purchase from authorized distributors, select retailers, and cloud service providers globally. Physical hardware can be installed in custom HPC servers or racks, while cloud solutions like Cyfuture Cloud provide on-demand access to H100 GPU resources with easy scalability. Availability depends on regional supply chains but is generally accessible for enterprises, startups, and research institutions.

Cloud hosting alternatives allow users to avoid the high upfront costs and long-term commitment of purchasing hardware. Cyfuture Cloud offers flexible rental plans, including hourly and monthly billing, and supports multi-GPU scaling as well as bare metal and virtualized environments ideal for diverse workloads.

Cloud Hosting with Cyfuture Cloud

Cyfuture Cloud provides an optimized NVIDIA H100 GPU cloud platform tailored for artificial intelligence and HPC applications. Key benefits include:

Transparent pricing with pay-as-you-go and reserved instance discounts

Ultra-low latency and high-bandwidth connectivity across nodes

Full compatibility with AI frameworks like CUDA 12+, PyTorch, TensorFlow, and RAPIDS

Comprehensive support for setup, optimization, and workload scaling

Flexible options for startups, enterprises, and researchers to scale GPU resources instantly without upfront hardware costs.

Frequently Asked Questions (FAQs)

How much does an NVIDIA H100 GPU cost?

The NVIDIA H100 GPU costs between $27,000 and $40,000 per unit, depending on configuration and purchase volume.

What makes the NVIDIA H100 expensive?

Its cutting-edge architecture, high performance for AI and HPC, limited production capacity, and growing demand drive its premium price.

Where can I access NVIDIA H100 GPUs without buying one?

Cloud providers like Cyfuture Cloud offer on-demand rental access to NVIDIA H100 GPUs with flexible pricing and instant scalability.

What are the technical advantages over previous GPUs?

The NVIDIA H100’s Hopper architecture offers up to 9x faster training, 30x faster inference on large models, and enhanced memory bandwidth compared to previous generations.

Conclusion

The NVIDIA H100 GPU represents the pinnacle of modern GPU technology, providing unmatched computational power and efficiency for AI, machine learning, and high-performance computing workloads. Though costly, its scalability through cloud platforms like Cyfuture Cloud allows enterprises of all sizes to leverage its power without prohibitive upfront investment. Cyfuture Cloud’s transparent pricing, flexible usage plans, and comprehensive support make it an ideal choice to deploy NVIDIA H100 GPU resources efficiently and effectively.

For organizations looking to accelerate AI innovation or large-scale scientific computing, the NVIDIA H100 coupled with Cyfuture Cloud is a cutting-edge solution offering industry-leading performance and operational flexibility.