SCHENKER AI station

powered by TUXEDO
›Max. Intel Core i9-9980XE | 3.0 – 4.4 GHz
›max. 2x NVIDIA GeForce RTX 2080 Ti | 11 GB GDDR6
›max. 128 GB DDR4 RAM | 3200 MHz
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$5,989.10

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Product Description

SCHENKER AI station

Scalable high-performance hardware for the local training of artificial intelligence: The SCHENKER AI Stations powered by Tuxedo offer a high-performance on-premise alternative for outsourcing the development of your AI applications to the public cloud. As complete turnkey solutions, the Ubuntu 18.04.2 LTS-based systems already integrate all relevant program libraries for your professional AI project. In addition to a versatile desktop PC, the comprehensively preconfigured SCHENKER AI stations powered by Tuxedo are also available in a mobile laptop version.

Common open source libraries such as Microsoft’s Cognitive Toolkit, MXNet, PyTorch, Theano and Google TensorFlow are preinstalled. They allow immediate, productive use of the systems as a specially adapted development basis for the areas of artificial intelligence, deep learning, machine learning and for the efficient construction of neural networks. The implementation of the individual packages takes place in virtual environments by the lean repository management system Miniconda3 based on Python 3.7.3. For intuitive use, the naming of each virtual environment follows the name of the program library on which it is based. Jupyter Notebook provides a second, virtual environment, which supports you with its documentation and notebook functions as well as special possibilities for collaborative work and for the direct execution of code in the implementation of complex projects. The Community Edition of the integrated development environment PyCharm rounds off the scope of the specially preconfigured basic installation.

Due to the possibility of individual configuration of the systems, both the desktop PC version and the mobile notebook alternative in the form of the SCHENKER KEY 16 address innovative AI start-ups. Components from different price and performance classes allow precisely tailored systems for your specific use case. Compared to relocating AI development to the public cloud of a third-party provider, the approach of AI training on a local system has several advantages. This not only includes better calculability of costs, but also the certainty that you retain full control over your valuable project data instead of handing it over to a third-party server with a possibly unknown location.

We developed our SCHENKER AI Station in cooperation with our Linux subsidiary Tuxedo Computers and the AI ​​start-up Ondewo. This gives you a turnkey solution that combines the concentrated hardware and service skills of Schenker Technologies with the Linux expertise of Tuxedo and the application experience of Ondewo.

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