Nvidia's Jetson TX1 dev board is a “mobile supercomputer” for machine learning | Ars Technica
Titan V Deep Learning Benchmarks with TensorFlow
NVIDIA Announces Tesla P4 and P40 GPU Accelerators for Neural Network Inferencing | Exxact Blog
Lecture 8 Deep Learning Software · BuildOurOwnRepublic
Software Finds a Way: Why CPUs Aren't Going Anywhere in the Deep Learning War - insideBIGDATA
Accelerating AI with GPUs: A New Computing Model | NVIDIA Blog
Benchmark M1 vs Xeon vs Core i5 vs K80 and T4 | by Fabrice Daniel | Towards Data Science
Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
NVIDIA's New GPUs Set A High Bar For HPC And Deep Learning - Moor Insights & Strategy
CPU Vs GPU for Deep Learning. Welcome to the blog of CPUs Vs GPUs for… | by Tarun Medtiya | Medium
NVIDIA Rises in MLPerf AI Inference Benchmarks | NVIDIA Blogs
Benchmarking TensorFlow on CPUs: More Cost-Effective Deep Learning than GPUs
Optimizing the Deep Learning Recommendation Model on NVIDIA GPUs | NVIDIA Technical Blog
GPUs vs CPUs for Deployment of Deep Learning Models | Mashford's Musings
Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch
Do we really need GPU for Deep Learning? - CPU vs GPU | by Shachi Shah | Medium
DeepDream: Accelerating Deep Learning With Hardware
CPU, GPU, FPGA or TPU: Which one to choose for my Machine Learning training? – InAccel
CPU, GPU or FPGA: Performance evaluation of cloud computing platforms for Machine Learning training – InAccel
RTX 2080 Ti Deep Learning Benchmarks with TensorFlow
Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog
Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog
