English 
| Quantity: | |
|---|---|
H200 Server
NVIDIA
Key Features Of H200 Server
The H200 GPU Server is engineered to accelerate modern data-intensive applications through a combination of high-performance GPUs, enterprise-grade CPUs, and PCIe or NVLink interconnect technologies. Compared with previous-generation accelerators, the H200 delivers higher memory capacity and bandwidth, allowing larger AI models to remain in GPU memory while improving inference throughput and reducing overall processing time.
Blackwell Ultra Architecture
Blackwell Ultra is NVIDIA's latest AI computing architecture, engineered for large-scale AI reasoning, generative AI, and trillion-parameter model deployment. Compared with the Hopper generation used by the H200, Blackwell Ultra introduces 5th Generation Tensor Cores, NVFP4 precision, larger HBM3e memory, and enhanced attention-layer acceleration, delivering significantly higher inference throughput and greater efficiency for next-generation AI workloads.
H200 Server Computing Performance
Powered by the NVIDIA H200 Tensor Core GPU, the H200 Server is optimized for AI training, inference, high-performance computing (HPC), and large language models (LLMs). Each H200 GPU integrates 141GB HBM3e memory with up to 4.8TB/s memory bandwidth, enabling larger AI models to remain in GPU memory while reducing data transfer bottlenecks. Compared with previous-generation Hopper GPUs, the H200 significantly improves performance for memory-intensive AI workloads, scientific computing, and data analytics.
| Specification | Details |
|---|---|
| GPU | NVIDIA H200 Tensor Core |
| GPU Memory | 141GB HBM3e |
| Memory Bandwidth | Up to 4.8TB/s |
| GPU Interface | PCIe Gen5 or SXM5 (Platform Dependent) |
| Tensor Cores | 4th Generation |
| NVLink | Supported (SXM Platforms) |
| CPU Support | Intel Xeon or AMD EPYC |
| System Memory | DDR5 ECC |
| Expansion | PCIe Gen5 |
| Networking | 100/200/400GbE or InfiniBand |
| Applications | AI, HPC, LLM, Data Analytics |
Company Introduction
FAQ
Q1. Which workloads is the H200 GPU Server optimized for?
A: It is designed for AI training, AI inference, large language models (LLMs), scientific computing, data analytics, and HPC applications.
Q2. What makes the H200 different from the H100?
A: The H200 features 141GB HBM3e memory and significantly higher memory bandwidth, improving performance for memory-intensive AI and HPC workloads.
Q3. Can the server support multiple GPUs?
A: Yes. The number of GPUs depends on the server platform, with common configurations supporting 4, 8, or more NVIDIA H200 GPUs.
Q4. Which CPUs are compatible with the H200 Server?
A: Depending on the platform, it can be configured with the latest Intel Xeon or AMD EPYC server processors.
Q5. Which networking options are available?
A: H200 servers typically support 100GbE, 200GbE, 400GbE Ethernet, as well as NVIDIA InfiniBand networking for AI and HPC clusters.
