The GH200 Super Server is a product launched by Nvidia with powerful performance and innovative architecture. The following is a detailed introduction for you:

Architecture and chip integration

Grace Hopper Superchip: The core of the GH200 server is the Grace Hopper Superchip, which tightly integrates Nvidia's Grace CPU and Hopper GPU into the same package through NVLink-C2C technology. For example, Grace CPU has 72 ARM Neoverse V2 cores and 480GB of LPDDR5X memory, providing powerful computing power support for complex data processing and computing tasks; The Hopper GPU has 132 SMs and 528 Tensor cores, as well as 96GB of HBM3 memory, providing excellent parallel computing and deep learning acceleration capabilities. This integrated approach eliminates the need for traditional PCIe CPU to GPU connections, increasing bandwidth by 7 times and reducing interconnect power consumption by more than 5 times.

NVLink Switch System: Supported by the fourth generation NVLink technology, it forms a two-level, non blocking, fat tree NVLink structure that can fully connect 256 Grace Hopper super chips in the DGX GH200 system. Enabling each GPU to access the memory of other GPUs and the extended GPU memory of all NVIDIA Grace CPUs at a speed of 900GB/s greatly expands memory access capabilities and data throughput, providing a hardware foundation for processing large-scale data and complex computing tasks.

Performance advantages

GH200 Ultra Large Memory Capacity: DGX GH200 is the first 100TB level GPU memory system, providing up to 144TB of massive shared memory space. Compared to a single NVIDIA DGX A100 320GB system, it provides nearly 500 times more memory for GPU shared memory programming models, enabling it to handle massive AI workloads with extremely high memory requirements, such as deep learning recommendation models (DLRM) with TB level embedded tables, TB level graphical neural network training models, or large data analysis workloads. Using DGX GH200 can achieve 4 to 7 times acceleration.

GH200 efficient computing power: With 230.4 TFLOPS of NVIDIA SHARP in network computing power, it can accelerate commonly used collective operations in AI, and by reducing the communication overhead of collective operations, double the effective bandwidth of NVLink network systems, enabling faster processing of large-scale complex computing tasks and improving work efficiency.

Email:  plc66@qq.com

Phone: +86 18059884790(WHATSAPP/WeChat)

Sales:LIMING  

The price is subject to confirmation by the contact person LI MING (manager).

Product: Brand new original packaging

Payment method: 100% telegraphic transfer. Conditions can be negotiated before shipment of inventory goods!

If you have any downtime spare parts that cannot be found, please feel free to call or contact me via email at any time. If there are any issues that the product cannot solve, please contact me.

Many products have not been listed yet. Please contact us for more products

If there is any inconsistency between the product model and the displayed picture, the model shall prevail. Please contact us for specific product pictures, and we will arrange for photos to be taken in the warehouse for confirmation

We have 22 shared warehouses worldwide, so please understand that sometimes it may take several hours to respond accurately to you. Of course, we will respond to your concerns as soon as possible