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Wholesale Nvidia GPU Ai Training Deep Learning High Computing Power Super Server Dgx H100/Dxh100/Dxg Gh200/Dgx Gh200/H100/A100 80GB
| Price | $420000.00 |
|---|---|
| Min Order | 1 Piece |
| Availability | In Stock |
| Shipping From | Chongqing, China |
| Popularity | 462 people viewed |
Model NO.:
H100/H200
Application:
Enterprise Level
Instruction System:
RISC
Max. CPUs:
2
Number of CPu Threads:
64
Operating System Support:
Linux
Storage Capacity:
500-1000GB
Supporting Memory Capacity:
>1TB
System Architecture:
X86 Server
Form Factor:
Tower
Memory Capacity:
128GB
Network Connectivity:
100GbE
Operating System:
Linux
Power Supply:
Redundant PSU
Processor Type:
Intel Xeon
RAID Support:
RAID 10
Storage Type:
SSD
Gpus:
8X Nvidia H100tensorcore Gpus
GPU Memory:
640GB Total
Performance:
32 Petaflops Fp8
Nvswitch:
4X
System Power:
~10.2kw Max
CPU:
Dual X86
System Memory:
2tb
Networking 1:
4X Osfp Ports Serving 8xsingle-Port Nvidia Connect
Networking 2:
400GB/S Infiniband/Ethernet
Networking 3:
2X Dual-Port Nvidia Bluefield-3dpus Vpi
Networking 4:
1X400GB/S Infiniband/Ethernet
Networking 5:
1X 200GB/S Infiniband/Ethernet
Management Network:
10GB/S Onboard Nic with Rj45network50GB/S Ethernet
Storage:
0s:2X1.9tb Nvme M.2 Internal Storage:8X3.84tb Nvme
Operating Temperature Range:
5-30ºC[41-86°f]
Trademark:
Nvidia
Transport Package:
Wooden Box
Specification:
160cm * 480cm * 240cm
Origin:
USA
HS Code:
8471500000
Product Description
Supercomputer servers are high-performance computing (HPC) systems designed specifically for processing complex computational tasks. Here are some key features and product descriptions of supercomputer servers:
1.High-Performance Processors: Utilizes multi-core processors such as Intel Xeon, AMD EPYC, or specialized accelerators (e.g., NVIDIA GPUs) to provide exceptional computing power.
2.Large Capacity Memory: Equipped with substantial memory (typically in the terabyte range) to support data-intensive applications and complex computational tasks.
3.High-Speed Storage: Uses high-speed solid-state drives (SSDs) or distributed storage systems to ensure rapid data read/write and high throughput, meeting the demands of large-scale data processing.
4.High-Bandwidth Networking: Supports high-speed network connections, such as InfiniBand or 10/100GbE, to facilitate fast data transmission and low latency between nodes.
5.Scalability: Features a modular design that supports horizontal scaling, allowing the addition of more computing nodes as needed to accommodate growing computational demands.
6.Energy Efficiency Optimization: Employs advanced cooling and power management technologies to optimize energy consumption and enhance overall efficiency.
7.Application Areas: Widely used in climate modeling, genomics, artificial intelligence, financial modeling, engineering simulation, and more.
Management and Monitoring: Comes with efficient management software that provides system monitoring, resource allocation, and fault diagnosis features to ensure stable operation.
8.Supercomputer servers are ideal for research institutions, universities, and enterprises engaged in complex computational analysis and simulations, significantly improving computational efficiency and data processing capabilities.
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