BIDMach: Machine Learning at the Limit with GPUs | NVIDIA Technical Blog
deep learning | bigpicture.pl
Can You Close the Performance Gap Between GPU and CPU for DL?
Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch
Deep Learning with GPU Acceleration - Simple Talk
Meet the Supercharged Future of Big Data: GPU Databases
CPU, GPU or FPGA: Performance evaluation of cloud computing platforms for Machine Learning training – InAccel
Harvard Researchers Benchmark TPU, GPU & CPU for Deep Learning | Synced
Porting Algorithms on GPU
Inference: The Next Step in GPU-Accelerated Deep Learning | NVIDIA Technical Blog
CPU, GPU, FPGA or TPU: Which one to choose for my Machine Learning training? – InAccel
GitHub - moritzhambach/CPU-vs-GPU-benchmark-on-MNIST: compare training duration of CNN with CPU (i7 8550U) vs GPU (mx150) with CUDA depending on batch size
GPU for Deep Learning in 2021: On-Premises vs Cloud
What is a GPU and do you need one in Deep Learning? | by Jason Dsouza | Towards Data Science
Software Finds a Way: Why CPUs Aren't Going Anywhere in the Deep Learning War - insideBIGDATA
GPU and Deep learning best practices
Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog
Deep Learning: The Latest Trend In AI And ML | Qubole
GPUs vs CPUs for Deployment of Deep Learning Models | Mashford's Musings
Can You Close the Performance Gap Between GPU and CPU for DL?
Why GPUs for Machine Learning and Deep Learning? | by Rukshan Pramoditha | Medium
Better Than GPU” Deep Learning Performance with Intel® Scalable System Framework
Can You Close the Performance Gap Between GPU and CPU for DL?
The Definitive Guide to Deep Learning with GPUs | cnvrg.io
