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Setting NUMA node to 0 for Nvidia cards on standard Linux PCs

People working on Linux PCs with Tensorflow 2 [TF2] and CUDA may be confronted with warnings complaining a lack of an assignment of their Nvidia graphics card to a NUMA node. This is somewhat enervating as depending on the TF2 version a default entry of “-1” for the NUMA on consumer systems may clatter some of your Jupyter notebook cells with warnings. In this post I first will briefly turn to the question what NUMA is good for on sever systems with multiple CPUs and… Read More »Setting NUMA node to 0 for Nvidia cards on standard Linux PCs

Installation of CUDA 12.3 and CuDNN 8.9 on Opensuse Leap 15.5 for Machine Learning

Machine Learning on a Linux system is no fun without a GPU and its parallel processing capabilities. On a system with a Nvidia card you need basic Nvidia drivers and additional libraries for optimal support of Deep Neural Networks and Linear Algebra operations on the GPU sub-processors. E.g., Keras and Tensorflow 2 [TF2] use CUDA and cuDNN-libraries on your Nvidia GPU. Basic information can be found here: This means that you must not only perform an installation of (proprietary) Nvidia drivers, but also of CUDA… Read More »Installation of CUDA 12.3 and CuDNN 8.9 on Opensuse Leap 15.5 for Machine Learning

Preliminary test of a Nvidia RTX 4060 TI 16GB with neural networks

Recently I had the opportunity to test a Nvidia RTX 4060 TI (vendor: MSI, model:Ventus ) on my Linux system against a Geforce GTX 960. For private consumers as me who are not interested in gaming, but in Machine Learning [ML] this type of card can be interesting. I name three reasons: Some of the readers of this blog may miss a criterion like “performance“. The reason is that I regard the VRAM criterion as more important as raw GPU power. I have commented on… Read More »Preliminary test of a Nvidia RTX 4060 TI 16GB with neural networks