NVIDIA H100 PCIe Graphics Card 80 GB

The H100 PCIe 80 GB is a professional graphics card by NVIDIA, launched on March 21st, 2023. Built on the 5 nm process, and based on the GH100 graphics processor, the card does not support DirectX. Since H100 PCIe 80 GB does not support DirectX 11 or DirectX 12, it might not be able to run all the latest games. The GH100 graphics processor is a large chip with a die area of 814 mm² and 80,000 million transistors. Unlike the fully unlocked H100 SXM5 80 GB, which uses the same GPU but has all 16896 shaders enabled, NVIDIA has disabled some shading units on the H100 PCIe 80 GB to reach the product’s target shader count. It features 14592 shading units, 456 texture mapping units, and 24 ROPs. Also included are 456 tensor cores which help improve the speed of machine learning applications. NVIDIA has paired 80 GB HBM2e memory with the H100 PCIe 80 GB, which are connected using a 5120-bit memory interface. The GPU is operating at a frequency of 1095 MHz, which can be boosted up to 1755 MHz, memory is running at 1593 MHz.

Being a dual-slot card, the NVIDIA H100 PCIe 80 GB draws power from 1x 16-pin power connector, with power draw rated at 350 W maximum. This device has no display connectivity, as it is not designed to have monitors connected to it. H100 PCIe 80 GB is connected to the rest of the system using a PCI-Express 5.0 x16 interface. The card measures 268 mm in length, 111 mm in width, and features a dual-slot cooling solution.

Key Features:

1. Hopper Architecture for Advanced Performance

• CUDA Cores
  • The H100 includes 16,896 CUDA cores, offering exceptional parallel computing power for workloads like data analytics, scientific simulations, and large-scale AI training.
• 4th-Generation Tensor Cores
  • Delivers up to 6x faster performance for AI workloads by optimizing mixed-precision operations such as FP8, FP16, and BFLOAT16. Tensor Cores are designed to accelerate both AI training and inference tasks.
• Transformer Engine
  • Built to enhance transformer-based AI models, such as GPT and BERT, significantly improving throughput for natural language processing (NLP), generative AI, and large-scale recommendation systems.

2. 80 GB HBM3 Memory

• Massive Memory Capacity
  • The 80 GB of HBM3 memory allows the H100 to manage large datasets, high-resolution models, and memory-intensive tasks seamlessly.
• High Bandwidth
  • Provides 35 TB/s of memory bandwidth, ensuring fast data access and efficient handling of memory-intensive workloads.

3. Scalability and Multi-GPU Support

• NVLink and NVSwitch Support
  • Enables seamless scaling by connecting multiple H100 GPUs, providing increased compute power and shared memory resources for large-scale deployments.
• Multi-Instance GPU (MIG)
  • Splits the GPU into up to 7 independent instances, allowing multiple users or tasks to run simultaneously with isolated and secure GPU resources.

4. Energy Efficiency

• Optimized Power Consumption
  • Operates at a 300W TDP, offering industry-leading performance per watt, making it energy-efficient for data centers and enterprise applications.
• Passive Cooling Design
  • Designed for dense computing environments and rack-mounted servers, ensuring reliable thermal performance during sustained workloads.

5. PCIe 5.0 Interface

• High-Speed Data Transfer
  • The PCIe 5.0 interface ensures low-latency, high-throughput data transfer for bandwidth-intensive applications, maximizing overall system performance.

6. Advanced AI and HPC Software Support

• NVIDIA AI Enterprise Suite
  • Optimized for AI workflows, providing support for popular frameworks such as TensorFlow, PyTorch, and ONNX for seamless AI model development and deployment.
• CUDA and CUDA-X Ecosystem
  • Ensures compatibility with a wide range of applications, offering a robust foundation for GPU-accelerated workloads.

Applications:

1. Artificial Intelligence and Machine Learning

• • AI Training: Optimized for training large-scale AI models like GPT-4, BERT, and generative adversarial networks (GANs).
  • AI Inference: Enables real-time inferencing for applications such as recommendation systems, chatbots, and autonomous systems.
  • Generative AI: Powers generative models to create text, images, and media content in real time.

2. High-Performance Computing (HPC)

• • Scientific Simulations: Handles complex simulations in fields like climate modeling, genomics, astrophysics, and material science.
  • Numerical Analysis: Delivers precision and scalability for engineering and computational tasks.

3. Data Analytics and Big Data Processing

• • Big Data Analytics: Processes massive datasets for industries like finance, healthcare, and telecommunications, enabling faster insights.
  • Data Visualization: Powers advanced visualization tools for engineering, architecture, and scientific research.

4. Media and Entertainment

• • 3D Rendering and Animation: Accelerates real-time rendering and high-quality visual effects creation in animation, gaming, and filmmaking.
  • Video Processing: Handles 8K video editing, transcoding, and multi-stream processing for content creation and distribution.

5. Cloud and Virtualization

• • AI in the Cloud: Supports scalable AI workloads in cloud platforms, enabling real-time AI services and applications.
  • Virtual Desktops: Enhances GPU-accelerated virtual desktop infrastructure (VDI) for remote work and collaboration.

Why Choose the NVIDIA H100 PCIe Graphics Card 80 GB?

1. Industry-Leading AI Performance

1. • Equipped with 4th-gen Tensor Cores and the Transformer Engine, the H100 excels at training and inferencing AI models, making it the best choice for cutting-edge AI applications.

2. Massive Memory and Bandwidth

1. • With 80 GB of HBM3 memory and 3.35 TB/s of bandwidth, the H100 can efficiently handle large datasets and memory-intensive workloads without bottlenecks.

3. Scalable and Flexible

1. • NVLink and MIG support allow the H100 to scale compute power and memory capacity for enterprise environments, catering to both single and multi-user workloads.

4. Energy Efficiency

1. • Designed with a 300W TDP, the H100 offers high performance per watt, making it an energy-efficient choice for data centers and enterprises.

5. Enterprise Reliability

1. • Backed by NVIDIA’s enterprise-grade software ecosystem, including AI Enterprise Suite and CUDA-X, ensuring compatibility, stability, and long-term support.

6. Versatility Across Workflows

1. • The H100 excels in diverse applications, from AI and HPC to big data analytics and 3D rendering, making it a versatile solution for modern workloads.