HPC-7400MB-70A1E Allicdata Electronics
Allicdata Part #:

HPC-7400MB-70A1E-ND

Manufacturer Part#:

HPC-7400MB-70A1E

Price: $ 406.46
Product Category:

Uncategorized

Manufacturer: Advantech Corp
Short Description: 4U COMPACT RACKMOUNT / TOWER CHA
More Detail: N/A
DataSheet: HPC-7400MB-70A1E datasheetHPC-7400MB-70A1E Datasheet/PDF
Quantity: 1000
1 +: $ 369.51400
Stock 1000Can Ship Immediately
$ 406.46
Specifications
Series: *
Part Status: Active
Description

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High Performance Computing (HPC) systems are an essential component of many modern applications and technologies. HPC-7400MB-70A1E is one such system designed for very specific workloads. It is a distributed system with four nodes interconnected by a high speed network. Each node is powered by two dual-core or quad-core AMD Opteron processors, up to 4GB of RAM and a SpaceWire network with up to 8 x 10GbE ports. The system provides high bandwidth, low latency performance and is capable of running extremely large computations and data transfers.

The main application field of HPC-7400MB-70A1E is high performance computing. It is used in a variety of scientific and engineering applications including weather forecasting, nuclear physics, and image processing. It is also used for data-intensive applications such as bioinformatics, web search, and telecommunications. The system can be used to analyze large amounts of data quickly and accurately. It is also used in some applications such as medical imaging and gaming.

The working principle of HPC-7400MB-70A1E is based on a distributed computing model. Each node contains two processors that share resources, which are connected together by a high speed network. Each node is responsible for a specific workload or set of tasks. This allows the system to scale to larger tasks and to take advantage of the available computing power of each node. The data is stored on the system and is accessible to all nodes. The nodes communicate with each other to perform the required calculations.

The HPC-7400MB-70A1E system is designed for high performance computing applications and can help organizations reduce their computing costs and increase their productivity. It is designed to be energy efficient and can be used in an environmentally friendly way. Its distributed nature allows it to be used for tasks that are highly parallelized and can utilize different types of hardware and operating systems. It is an excellent choice for any organization that requires high performance computing.

The specific data is subject to PDF, and the above content is for reference

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