What is a GPU and do you need one in Deep Learning? | by Jason Dsouza | Towards Data Science
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
Deep Learning Benchmarks of NVIDIA Tesla P100 PCIe, Tesla K80, and Tesla M40 GPUs - Microway
Automatic Kernel Optimization for Deep Learning on All Hardware Platforms
Do we really need GPU for Deep Learning? - CPU vs GPU | by Shachi Shah | Medium
TensorFlow Lite Now Faster with Mobile GPUs — The TensorFlow Blog
Deploying Deep Neural Networks with NVIDIA TensorRT | NVIDIA Technical Blog
FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
Porting Algorithms on GPU
Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs | NVIDIA Technical Blog
Benchmark M1 vs Xeon vs Core i5 vs K80 and T4 | by Fabrice Daniel | Towards Data Science
NVIDIA Announces Tesla P4 and P40 GPU Accelerators for Neural Network Inferencing | Exxact Blog
Google's dedicated TensorFlow processor, or TPU, crushes Intel, Nvidia in inference workloads - ExtremeTech
PDF) Performance of CPUs/GPUs for Deep Learning workloads
Turn Your Deep Learning Model into a Serverless Microservice
CPU, GPU or FPGA: Performance evaluation of cloud computing platforms for Machine Learning training – InAccel
Meet the Supercharged Future of Big Data: GPU Databases
CPU vs GPU vs TPU | Geekboots
CPU vs GPU performance « Something More for Research
Processing AI at the Edge: GPU, VPU, FPGA, ASIC Explained - ADLINK Blog
Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
