Skip to content

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

Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

Some of my readers may be interested in having a private environment to study Machine Learning [ML] techniques and perform experiments with complex Neural Network algorithms. I do not talk about AI professionals, but about people (as myself) who are students or privately interested in ML-techniques. And about people who have a limited budget for their AI and ML interests. Even if you are not a professional you sooner or later may find that a new and better suited graphics card is required for your… Read More »Criteria for ML capable graphic cards: Amount of VRAM or raw GPU power?

A blog on experiences with Machine Learning experiments

This blog covers some basics, experiments and related math in the field of Machine Learning [ML]. It is a personal blog and not an ordered book. Contents comes with numerical experiments I had some fun with. I write in general about experiments which one can perform on a medium equipped Linux PC. Meaning: This blog will mainly cover conventional experiments which can e.g. be done with Scikit-Learn and Neural Networks with a rather limited number of layers. Still, I think that one can learn quite… Read More »A blog on experiences with Machine Learning experiments