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The Conference for the Era of AI and the Metaverse Learn about the latest advances from the NVIDIA GTC (NVIDIA GPU Technology Conference). The conference showcased the latest advances in GPU technology and its applications across a range of industries, artificial intelligence, data science, autonomous vehicles and more, you can also watch the keynote sessions now. Get informed now: Developer Conference |Keynote |DLI Workshop
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sysGen devCUBE™ Deep Learning Workstation - AMD Threadripper™ PRO / RTX 4090 Edition
4x fixed internal 3.5"/2.5" SATA drive bays, 2x hot swap 2.5" SATA drive bays
1x 10GBase-T LAN port, 1x 1GbE LAN port (shared with IPMI)
1x VGA port (dedicated for IPMI), 7.1 HD Audio
2000W Platinum Level Power Supply
High-Airflow for GPUs or other PCIe Cards
Ready to Go
Complete System incl. all required configured Software:
Pre-installed Ubuntu LTS
Pre-installed PyTorch and Tensorflow(based on latest versions available through Anaconda)
CUDA including corresponding cuDNN Pre-requisite: Before sysGen can install cuDNN, you have to successfully register on the NVIDIA website as a system developer for "Deep Learning"and sign the NVIDIA "CUDA Software Distribution Agreement for Toolkit cuDNN"
Tensorflow - Open Source Software Library for Machine Intelligence, latest version Pre-installation and Compilation with Cuda
Optional
CPU AIO Liquid-Cooler
Rack-Conversion-Kit PS: Rack-Conversion-Kit incompatible to AIO!
For the included GPU cards NVIDIA will grant full access to the NVIDIA NGC cloud software. In additon you have full access to our preinstalled sysGen Learning Image (OS Ubuntu 22.04), all software containers are tuned, tested, certified, and maintained for the top frameworks.
Related links to "sysGen devCUBE™ Deep Learning Workstation - AMD Threadripper™ PRO / RTX 4090 Edition"
We thank you in advance for your interest in our products, services and solutions and will contact you as soon as possible.
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