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Cisco C480ML M5 server for working with AI
2018-09-21T11:02:49.771Z21 September 2018

Cisco C480ML M5 server for working with AI

In the line of Cisco servers, the first server appeared to work with loads in the field of AI and machine learning. The use of these new technologies opens up new ways of solving complex problems for the user, and puts new tasks on the company's infrastructure and IT processes. While few companies (based on survey results of no more than 5%) have already started using AI and MO in projects, but it can be precisely said that this figure will only grow, and when this happens, IT departments will have to manage new workloads and new distribution of traffic.

The new Cisco C480ML M5 server has the power to accelerate the process of ML, using neural networks and large data sets for teaching computers to solve complex tasks. The server comes with NVIDIA graphics processors, for the purpose of intensive work of software stacks of machine learning. Data analysis specialists and developers for experiments with machine learning are simple enough laptop, but deep training requires serious computing power. It requires an IT architecture capable of working with extensive data sets, as well as a tool for understanding these data for further training. Therefore, the main goal of Cisco's cooperation with technology partners in the field of machine learning can be formulated as follows: simplify implementation and shorten the time for obtaining analytical information.

What does Cisco offer for data centers?

Data analysis specialists and developers. Unified computing systems allow thousands of users to receive information from large data.

IT professionals. The unified computing system makes it easier for IT professionals to add new technologies to the work environment. Now you can automate the application of policies and operational processes from the cloud to the entire computing infrastructure.

Cooperation. Cisco does not work alone. The company uses approaches based on container and cloud technologies to simplify large-scale deployment of open source software, regardless of where the applications are located.



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