GPU-NVH100-80 Nvidia 80GB H100 HBM2e Memory GPU

Nvidia Redefining High-Performance Computing

The Nvidia GPU-NVH100-80, equipped with 80GB of HBM2e memory, stands at the forefront of AI and deep learning applications. Its advanced architecture leverages NVL Tensor Cores, delivering unparalleled computational power for large-scale workloads. As a Full Height Full Length (FHFL) card, this GPU is engineered for data centers, research labs, and high-demand environments where maximum efficiency is critical.

80GB HBM2e Memory: Unmatched Bandwidth for Complex Data Sets

With 80GB of HBM2e memory, the Nvidia H100 NVH100-80 delivers extraordinary bandwidth, optimizing the transfer and processing of massive datasets. This memory configuration is particularly beneficial for:

• Training large-scale AI models
• High-resolution simulations
• Real-time data analytics

Benefits of HBM2e Memory

The HBM2e memory offers a significant advantage over traditional GDDR memory. It provides higher bandwidth with reduced power consumption, ensuring optimal performance in power-constrained environments.

Enhanced Data Transfer Rates

HBM2e facilitates seamless data transfer, critical for high-performance computing (HPC) tasks and multi-GPU configurations.

NVL Tensor Cores: Pioneering AI and Deep Learning

The NVH100-80’s NVL Tensor Cores are designed for accelerated matrix computations, crucial for AI, machine learning, and deep learning applications. These cores enable:

• Faster training and inference times
• Support for mixed precision workloads
• Efficient deployment of large-scale neural networks

Tensor Core Applications

Tensor Cores enhance various computational fields, including:

• Natural Language Processing (NLP)
• Computer Vision
• Reinforcement Learning

Mixed Precision Computing

The NVH100-80 GPU supports mixed precision computing, balancing 16-bit and 32-bit floating point calculations to optimize performance without sacrificing accuracy.

FHFL Design: Optimized for Data Centers

The Full Height Full Length (FHFL) form factor is ideal for high-density data center environments. It ensures compatibility with standard server racks and maximizes airflow for efficient cooling.

Enhanced Thermal Management

The FHFL design includes advanced thermal solutions to manage heat, ensuring consistent performance under heavy workloads.

Server Compatibility

The Nvidia NVH100-80 integrates seamlessly with leading server platforms, offering a plug-and-play solution for enterprise-scale AI deployments.

Innovative NVLink Technology

Nvidia's NVLink technology provides high-speed connectivity between GPUs, enabling faster data exchange. This feature is essential for scaling AI and HPC workloads.

Multi-GPU Scaling

NVLink supports multi-GPU configurations, enhancing parallel processing capabilities for demanding computational tasks.

High-Bandwidth Connectivity

The NVLink interface offers higher bandwidth than traditional PCIe connections, minimizing latency and maximizing throughput.

Use Cases for Nvidia GPU-NVH100-80

This GPU is designed for various industries and applications:

Artificial Intelligence and Machine Learning

Accelerate AI model development and deployment with the NVH100-80, supporting frameworks like TensorFlow, PyTorch, and Keras.

Scientific Research and Simulations

Conduct complex simulations in fields such as physics, climate modeling, and bioinformatics with unmatched precision.

Data Analytics and Visualization

Analyze massive datasets and visualize results in real-time, enabling data-driven decision-making.

Enterprise AI Applications

Leverage the NVH100-80 in enterprise environments for customer insights, predictive analytics, and operational optimization.

Compatibility and Integration

The Nvidia GPU-NVH100-80 is compatible with leading operating systems and software stacks, ensuring seamless integration into existing IT infrastructures.

Supported Platforms

Optimize performance on Linux, Windows, and VMware environments, with broad support for virtualization and containerization technologies.

Development Tools

Nvidia provides a suite of tools, including CUDA, cuDNN, and TensorRT, to streamline development and maximize GPU performance.

Future-Proofing Your Infrastructure

Investing in the Nvidia NVH100-80 ensures your infrastructure is ready for the future, with capabilities to handle evolving AI and HPC demands.

Scalability and Longevity

The GPU's scalable architecture supports long-term growth, accommodating the increasing complexity of computational workloads.

Energy Efficiency

Designed with energy efficiency in mind, the NVH100-80 helps reduce operational costs while maintaining top-tier performance.