The NVIDIA H200 NVL is a high-performance GPU accelerator designed for enterprise data centers to handle demanding artificial intelligence (AI) and high-performance computing (HPC) workloads. Built on the NVIDIA Hopper architecture, the PCIe-based card offers a significant memory upgrade over its predecessor, the H100 NVL, featuring an unprecedented 141GB of HBM3e memory with a bandwidth of 4.8TB/s. This massive increase in memory capacity and speed allows for faster processing of large language models (LLMs) and complex scientific simulations. The “NVL” designation specifically indicates that it supports NVLink bridges, which enable high-speed GPU-to-GPU communication for multi-card setups within compatible servers.
The H200 NVL PCIe is engineered for deployment in air-cooled enterprise rack systems, making it suitable for a wide range of mainstream data center environments. Its passive cooling design means it does not have a built-in fan and relies on the host server’s cooling infrastructure for heat dissipation. This allows for dense configurations within optimized server chassis without adding to the noise and power consumption of individual units. The combination of its powerful processing, large memory, and flexible deployment options makes it a compelling choice for companies and researchers looking to accelerate their AI inference, fine-tuning, and HPC applications.
Ultimately, this GPU provides a powerful, enterprise-grade solution for the most memory-intensive and computationally demanding tasks in modern AI and scientific computing. Its purpose is to meet the growing demands of increasingly large and complex models, offering higher throughput, lower total cost of ownership (TCO) compared to previous generations, and improved energy efficiency for AI factories and supercomputing systems. The H200 NVL simplifies enterprise AI development and deployment by providing the necessary hardware muscle to train and infer sophisticated models quickly and efficiently.
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