Apple M2 Max GPU vs Nvidia V100, P100 and T4
Compare Apple Silicon M2 Max GPU performances to Nvidia V100, P100, and T4 for training MLP, CNN, and LSTM models with TensorFlow.- 26645Murphy ≡ DeepGuide
Metal Programming in Julia
Leveraging the power of macOS GPUs with the Metal.jl Framework.- 30149Murphy ≡ DeepGuide
MLX vs MPS vs CUDA: a Benchmark
A first benchmark of Apple's new ML framework MLX- 28412Murphy ≡ DeepGuide
Run LLM inference using Apple Hardware
Unlock Apple GPU Power for LLM Inference with MLX- 28316Murphy ≡ DeepGuide
How Fast Is MLX? A Comprehensive Benchmark on 8 Apple Silicon Chips and 4 CUDA GPUs
A benchmark of the main operations and layers on MLX, PyTorch MPS and CUDA GPUs.- 22136Murphy ≡ DeepGuide
Apple M2 Max GPU vs Nvidia V100 (Part 2): Big Models and Energy Efficiency
Compare Apple Silicon M2 Max GPU performances and energy efficiency to Nvidia V100 for training CNN big models with TensorFlow- 24564Murphy ≡ DeepGuide
Multimodal Large Language Models & Apple's MM1
This blog post will go into the architecture and findings behind Apple's "MM1: Methods, Analysis & Insights from Multimodal LLM...- 25187Murphy ≡ DeepGuide
Rethinking LLM Benchmarks: Measuring True Reasoning Beyond Training Data
Apple's New LLM Benchmark, GSM-Symbolic- 26337Murphy ≡ DeepGuide
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