NVIDIA H100

NVIDIA H100

GPU • NVIDIA • $ 25,249.95

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Overview

Unleash Next-Generation AI and HPC Performance

The NVIDIA H100 is a groundbreaking GPU designed to accelerate the most demanding computational workloads. Built on the Hopper architecture, it delivers unprecedented performance for AI training, inference, and high-performance computing (HPC). With an immense 80GB of HBM2e memory and a 5120-bit memory interface, the H100 provides the massive bandwidth required to process large datasets and complex models with ease.

Who Is It For?

The H100 is engineered for data centers, research institutions, and enterprises that require extreme compute power. It is the go-to choice for AI researchers training large language models, scientists running complex simulations, and organizations deploying AI at scale.

Key Features

  • Massive Memory: 80GB HBM2e with a 5120-bit bus delivers over 3 TB/s of memory bandwidth, enabling rapid data access and processing.
  • Exceptional Compute: 14,592 CUDA cores provide massive parallel processing power for AI and HPC tasks.
  • Advanced Architecture: Hopper architecture with Transformer Engine optimizes performance for modern AI models.
  • High-Speed Connectivity: PCIe 5.0 x16 interface ensures fast data transfer between GPU and host system.
  • Scalability: Supports NVLink and NVSwitch for multi-GPU configurations, enabling massive model training.

Performance Highlights

The H100 delivers up to 3x performance over the previous A100 in AI training and inference. It excels in natural language processing, computer vision, and recommendation systems. For HPC, it accelerates scientific simulations, weather forecasting, and genomic analysis.

Use Cases

  • AI Training: Train large transformer models with billions of parameters.
  • AI Inference: Deploy real-time AI services with low latency.
  • Scientific Computing: Run complex simulations and data analysis.
  • Data Analytics: Process and analyze massive datasets quickly.

Power and Cooling

With a TDP of 350W, the H100 requires robust cooling and a high-quality power supply (minimum 800W). It is typically used in server environments with adequate airflow and power delivery.

In summary, the NVIDIA H100 is the ultimate GPU for organizations pushing the boundaries of AI and HPC. Its combination of massive memory, high bandwidth, and exceptional compute power makes it an indispensable tool for innovation.

Key Specifications

Memory Buffer: 80GB
Memory Type: HBM2e
Mem. Bandwidth: 5120-Bit
Wattage: 350W
Shading Units/Cores: 14592
Suggested PSU: 800W
Bus Interface: PCIe 5.0 x16
Output: NA

Detailed Parameters

TDP in Watts:
350
Minimum PSU Wattage Supported:
800
Length in mm:
268

Pros

  • Unmatched AI training performance
  • Massive 80GB HBM2e memory with high bandwidth
  • PCIe 5.0 support for fast data transfer
  • Scalable with NVLink for multi-GPU setups
  • Energy-efficient for its compute density

Cons

  • High power consumption (350W TDP)
  • Requires professional server infrastructure
  • Very expensive, not for consumer use

Frequently Asked Questions

What is the NVIDIA H100 used for?

The H100 is designed for AI training and inference, HPC simulations, and data analytics in data centers and research environments.

How much power does the NVIDIA H100 consume?

The H100 has a TDP of 350W and requires a minimum 800W power supply in a server configuration.

Does the NVIDIA H100 support PCIe 5.0?

Yes, the H100 uses a PCIe 5.0 x16 interface, offering double the bandwidth of PCIe 4.0.

Can the NVIDIA H100 be used in a desktop PC?

No, the H100 is a data center GPU with a passive cooling design and is not intended for consumer desktops.

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