Turn Your Deep Learning Model into a Serverless Microservice
Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog
Python, Performance, and GPUs. A status update for using GPU… | by Matthew Rocklin | Towards Data Science
Deep Learning with GPU Acceleration - Simple Talk
Performance Analysis and CPU vs GPU Comparison for Deep Learning | Semantic Scholar
Inference: The Next Step in GPU-Accelerated Deep Learning | NVIDIA Technical Blog
Performance comparison of dense networks in GPU: TensorFlow vs PyTorch vs Neural Designer
CPU, GPU, FPGA or TPU: Which one to choose for my Machine Learning training? – InAccel
Best PC for Machine Learning - An entry-level Guide
Benchmark M1 vs Xeon vs Core i5 vs K80 and T4 | by Fabrice Daniel | Towards Data Science
Benchmarking TensorFlow on Cloud CPUs: Cheaper Deep Learning than Cloud GPUs | Max Woolf's Blog
GPU for Deep Learning in 2021: On-Premises vs Cloud
GPUs vs CPUs for Deployment of Deep Learning Models | Mashford's Musings
Can You Close the Performance Gap Between GPU and CPU for DL?
CPU vs GPU vs TPU and Feedback Loops in real world situations | by Inara Koppert-Anisimova | unpack | Medium
Google says its custom machine learning chips are often 15-30x faster than GPUs and CPUs | TechCrunch
Best Deals in Deep Learning Cloud Providers: From CPU to GPU to TPU - KDnuggets
Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
Do we really need GPU for Deep Learning? - CPU vs GPU | by Shachi Shah | Medium
CPU vs. GPU for Machine Learning | Pure Storage Blog
Why GPUs for Machine Learning and Deep Learning? | by Rukshan Pramoditha | Medium
CPU, GPU or FPGA: Performance evaluation of cloud computing platforms for Machine Learning training – InAccel
Nvidia's Jetson TX1 dev board is a “mobile supercomputer” for machine learning | Ars Technica
NVIDIA Announces Tesla P4 and P40 GPU Accelerators for Neural Network Inferencing | Exxact Blog
