NVIDIA Tesla H200 Graphic Card – 141 GB HBM3e – PCI Express – 900-21010-0040-000

The NVIDIA Tesla H200 Graphic Card (Model: 900-21010-0040-000) represents one of the most advanced AI and high-performance computing (HPC) accelerators available in the enterprise GPU market today. Built on NVIDIA’s Hopper architecture, the H200 is specifically engineered for demanding workloads such as generative AI, large language models (LLMs), scientific simulations, data analytics, and deep learning inference. With 141 GB of ultra-fast HBM3e memory and PCI Express Gen5 connectivity, the H200 delivers exceptional performance for modern data centers and AI infrastructure.

One of the standout features of the NVIDIA H200 is its 141 GB HBM3e memory. HBM3e (High Bandwidth Memory generation 3 enhanced) offers significantly faster data transfer rates and lower power consumption compared to traditional GDDR memory. The H200 provides an impressive memory bandwidth of up to 4.8 TB/s, enabling rapid processing of massive datasets and AI models. This makes the card ideal for training and deploying advanced AI systems such as large language models, recommendation engines, autonomous systems, and scientific computing applications. (NVIDIA)

The H200 uses a PCI Express Gen5 x16 interface, ensuring high-speed communication between the GPU and host system. PCIe Gen5 doubles the bandwidth of the previous generation, reducing bottlenecks in data-intensive environments. Additionally, the GPU supports NVIDIA NVLink technology with up to 900 GB/s interconnect bandwidth, allowing multiple GPUs to work together efficiently in enterprise-scale AI clusters. (NVIDIA)

Unlike consumer gaming GPUs, the Tesla H200 is designed for enterprise and server environments rather than graphics rendering or gaming. It features a passive cooling design and dual-slot form factor intended for rack-mounted servers with controlled airflow. The GPU is optimized for parallel computing and AI acceleration, offering up to 4 PFLOPS of FP8 Tensor Core performance for AI inference and training tasks. This enormous compute capability enables organizations to accelerate machine learning workflows, reduce training times, and improve overall operational efficiency. (NVIDIA)

The NVIDIA H200 is also built with enterprise reliability and scalability in mind. It supports Multi-Instance GPU (MIG) technology, allowing a single GPU to be partitioned into multiple isolated instances for different workloads or users. This feature improves resource utilization in cloud computing and shared AI environments. Confidential computing support further enhances security by protecting sensitive data during processing. (NVIDIA)

In terms of pricing, the H200 is considered a premium enterprise accelerator, with retail prices often exceeding $25,000 per unit depending on configuration and availability. Its target market includes hyperscale cloud providers, AI research institutions, enterprise data centers, and organizations running mission-critical HPC workloads. (tech-america.com)

Overall, the NVIDIA Tesla H200 Graphic Card is a cutting-edge AI and HPC accelerator that combines massive HBM3e memory capacity, extreme bandwidth, PCIe Gen5 performance, and advanced AI processing capabilities. It is designed to meet the growing computational demands of modern artificial intelligence, scientific research, and enterprise-scale data processing applications.