Fabrice DanielinTowards Data ScienceApple M2 Max GPU vs Nvidia V100 (Part 2): Big Models and Energy EfficiencyCompare Apple Silicon M2 Max GPU performances and energy efficiency to Nvidia V100 for training CNN big models with TensorFlowFeb 77Feb 77
Fabrice DanielinTowards Data ScienceApple M2 Max GPU vs Nvidia V100, P100 and T4Compare Apple Silicon M2 Max GPU performances to Nvidia V100, P100, and T4 for training MLP, CNN, and LSTM models with TensorFlow.Nov 2, 202322Nov 2, 202322
Fabrice DanielinTowards Data ScienceInstall XGBoost and LightGBM on Apple M1 MacsInstall arm64 native version of XGBoost and LightGBM on Apple M1 MacsMay 14, 20214May 14, 20214
Fabrice DanielinTowards Data ScienceBenchmark M1 (part 2) vs 20 cores Xeon vs AMD EPYC, 16 and 32 coresBenchmark M1 (part 2) on MLP, CNN and LSTMJan 3, 20213Jan 3, 20213
Fabrice DanielinTowards Data ScienceBenchmark M1 vs Xeon vs Core i5 vs K80 and T4Compare Apple Silicon M1 CPU and GPU performances to high-end configurations on MLP, CNN and LSTM modelsDec 26, 20204Dec 26, 20204
Fabrice DanielinTowards Data ScienceTensorFlow 2.4 on Apple Silicon M1 : installation under Conda environmentInstall arm64 TensorFlow alpha and other ML packagesDec 20, 202012Dec 20, 202012
Fabrice DanielinTowards Data ScienceApple Silicon, run Scikit-Learn and TensorFlow on the new Macs M1Run Machine Learning tools natively compiled for Apple SiliconDec 5, 20205Dec 5, 20205
Fabrice DanielCompare TensorFlow performances on CPUs and GPUsFor many people Deep Learning means using GPU but is it always true in any situation and for any kind of network?Jun 10, 2019Jun 10, 2019
Fabrice DanielDeep Learning on a Mac with AMD GPUSince Apple is only providing AMD GPUs in its computers, Data Scientist working on MacOSX are facing limitations when trying to train Deep…Jun 16, 20184Jun 16, 20184