NVIDIA H200 Tensor Core GPU
138,790.00 AED
The NVIDIA H200 Tensor Core GPU is a professional accelerator designed for AI, deep learning, generative AI, HPC, and scientific computing. With NVIDIA Hopper architecture, HBM3e memory, advanced Tensor Cores, and high memory bandwidth, it delivers powerful performance for large AI models, data analytics, simulations, and enterprise workloads.
The NVIDIA H200 Tensor Core GPU is a professional accelerator for tough AI, machine learning, high-performance computing (HPC), data analytics, and scientific workloads. It is powered by the NVIDIA Hopper architecture and features advanced Tensor Cores paired with high-bandwidth HBM3e memory to tackle huge AI models, simulations, and other data-heavy use cases.
High AI Performance
The NVIDIA H200 GPU is optimized for current AI workloads, which include generative AI, large language models, deep learning, computer vision, and AI inference. The NVIDIA Tensor Cores inside this professional accelerator make matrix and tensor calculations used in machine learning much faster.
High-Bandwidth HBM3e Memory
One of the major differences between the H200 and other professional accelerators is high-performance HBM3e memory. The H200 SXM model provides 141GB of HBM3e memory and up to 4.8 TB/s of memory bandwidth.
This feature makes the H200 suitable for workloads that need a lot of GPU memory.
Built for HPC and Science Workloads
Apart from AI applications, the NVIDIA H200 is built for high-performance computing and scientific computing tasks. The GPU is able to run computational fluid dynamics simulation, molecular dynamics simulation, climate modeling, genomics, engineering simulation, financial modeling, and other complicated tasks.
Applications in Enterprise and Data Center Settings
Unlike typical gaming personal computers, the NVIDIA H200 is designed for professional purposes. It can be used in AI data centers, cloud systems, research facilities, university labs, enterprise AI systems, and supercomputers.
As an architecturally scalable GPU, the NVIDIA H200 can serve multi-GPU system for large-scale AI training, inference, and HPC workloads.
NVIDIA H200 Specifications
| Specification | Details |
|---|---|
| Product Name | NVIDIA H200 Tensor Core GPU |
| Architecture | NVIDIA Hopper |
| Memory Technology | HBM3e |
| Memory Capacity | Up to 141GB* |
| Memory Bandwidth | Up to 4.8 TB/s* |
| AI Acceleration | NVIDIA Tensor Cores |
| Product Type | Data Center / Professional GPU |
| Primary Uses | AI, ML, HPC, Data Analytics |
| AI Training | Supported |
| AI Inference | Supported |
| Generative AI | Supported |
| Interface | Variant / Platform Dependent |
| Form Factor | Variant / Platform Dependent |
| Cooling | System Dependent |
Specifications can vary by H200 product variant.
The Benefits of Selecting NVIDIA H200
The NVIDIA H200 Tensor Core GPU is made to be suitable for companies needing the best GPU acceleration when tackling the latest workloads related to AI and computations. With its Hopper architecture, Tensor Cores, and high-speed HBM3e memory, this GPU is a good choice for large language models, generative AI, research, deep learning, and enterprise computing.
Regardless of whether it is being utilized for AI training, inference, HPC simulation, or extensive data processing, the H200 offers everything you could want from a professional GPU.
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