13.7. Parameter Servers — Dive into Deep Learning 1.0.0-beta0 documentation
How to Train a Very Large and Deep Model on One GPU? | by Synced | SyncedReview | Medium
Neural Magic's sparsity, Nvidia's Hopper, and Alibaba's network among firsts in latest MLPerf AI benchmarks | ZDNET
Intel Throws Down AI Gauntlet With Neural Network Chips
Do we really need GPU for Deep Learning? - CPU vs GPU | by Shachi Shah | Medium
Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
Acceleration of Binary Neural Networks using Xilinx FPGA - Hackster.io
An optical neural chip for implementing complex-valued neural network | Nature Communications
PyTorch-Direct: Introducing Deep Learning Framework with GPU-Centric Data Access for Faster Large GNN Training | NVIDIA On-Demand
Training Feed Forward Neural Network(FFNN) on GPU — Beginners Guide | by Hargurjeet | MLearning.ai | Medium
Neural networks and deep learning
Distributed Training: Guide for Data Scientists - neptune.ai
CPU vs GPU in Machine Learning Algorithms: Which is Better?
CPU vs. GPU for Machine Learning | Pure Storage Blog
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Software-Delivered AI - Neural Magic
Building a Better Deep Learning Accelerator - Expedera
Can You Close the Performance Gap Between GPU and CPU for Deep Learning Models? - Deci
Options for training deep learning neural network - MATLAB trainingOptions
CPU, GPU, and TPU for fast computing in machine learning and neural networks
Binarized Neural Networks: An Overview | by Wilson Wang | Towards Data Science
Google Teaches AI To Play The Game Of Chip Design
A Basic Introduction To Neural Networks
Brian2GeNN: accelerating spiking neural network simulations with graphics hardware | Scientific Reports
Hardware Recommendations for Machine Learning / AI | Puget Systems
DeepMind, Oxford U, IDSIA, Mila & Purdue U's General Neural Algorithmic Learner Matches Task-Specific Expert Performance | Synced
