What Every Data Scientist Needs To Know About GPUs

GPU Optimization for Data Scientists: Essential Knowledge from Silicon to PyTorch | Comprehensive guide to GPU architecture and optimization for modern machine learning workloads. Learn critical GPU concepts from hardware fundamentals to high-level frameworks, with focus on performance tuning for neural networks. Master practical techniques for optimizing system latency and throughput in popular ML frameworks including PyTorch, vLLM, and RAPIDS. Essential knowledge for data scientists and ML engineers working with GPU-accelerated workloads.