High Performance Computing (HPC)

High Performance Computing (HPC) most generally refers to the practice of aggregating computing power in a way that delivers much higher performance than one could get out of a typical desktop computer or workstation in order to solve large problems in any science and engineering, simulation, modeling, or big data analytics application. Our HPC solutions feature cutting-edge CPU and GPU technology from different leading and innovative venders.
 

Computing server is the foundation of HPC applications. These high performance, high density systems feature optimum airflow for energy efficient cooling, easy maintenance and high availability with hot-swappable nodes and redundant power supply modules.

These systems also feature the latest CPU and interconnect technologies for maximum processing performance and data throughput.

SYS-2029TP-HTR
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SYS-F619P2-RT
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8U SuperBlade
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6U MicroBlade
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GPU server is a server that equipped with Graphics Processing Unit (GPU), GPU server are capable of running a variety of graphics workloads, such as 3D modeling, rendering, deep learning (core of Artificial Intelligence), and etc.

SYS-7049GP-TRT
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SYS-4029GP-TRT
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SYS-1029GQ-TVRT
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SYS-4029GP-TVRT
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A parallel file system is designed to store data across multiple networked servers and to facilitate high-performance access through simultaneous, coordinated input/output operations (IOPS) between clients and storage nodes.

SSG-2029P-E1CR24L
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SSG-6049P-E1CR36L
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CSE-946ED-R2KJBOD
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SSG-1029P-NMR36L
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High-speed network for HPC (well-known InfiniBand) is a computer-networking communications standard used in high-performance computing that features very high throughput and very low latency. It is used for data interconnect both among and within computers.

InfiniBand is also used as either a direct or switched interconnect between servers and storage systems, as well as an interconnect between storage systems.

HPC management software is a suite of software that provide a user friendly interface to manage the monitoring and scheduling task of all cluster resources.

With such software, users or operators can deploy and maintain the cluster easily and automatically.