A Full Hardware Guide to Deep Learning — Tim Dettmers
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FPGA vs GPU for Machine Learning Applications: Which one is better? - Blog - Company - Aldec
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GPUs vs CPUs for Deployment of Deep Learning Models | Mashford's Musings
Lecture 8 Deep Learning Software · BuildOurOwnRepublic
Inference: The Next Step in GPU-Accelerated Deep Learning | NVIDIA Technical Blog
![PDF] Unified Deep Learning with CPU, GPU, and FPGA Technologies | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/64c8428e93546479d44a5a3e44cb3d2553eab284/7-Figure3-1.png "PDF] Unified Deep Learning with CPU, GPU, and FPGA Technologies | Semantic Scholar")
PDF] Unified Deep Learning with CPU, GPU, and FPGA Technologies | Semantic Scholar
The Definitive Guide to Deep Learning with GPUs | cnvrg.io
CPU vs GPU: Architecture, Pros and Cons, and Special Use Cases
tensorflow - Why my deep learning model is not making use of GPU but working in CPU? - Stack Overflow
Hardware Recommendations for Machine Learning / AI | Puget Systems
Nvidia's Jetson TX1 dev board is a “mobile supercomputer” for machine learning | Ars Technica
Can You Close the Performance Gap Between GPU and CPU for Deep Learning Models? - Deci
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Deep Learning: The Latest Trend In AI And ML | Qubole
Performance Analysis and CPU vs GPU Comparison for Deep Learning | Semantic Scholar
Software Finds a Way: Why CPUs Aren't Going Anywhere in the Deep Learning War - insideBIGDATA
Better Than GPU” Deep Learning Performance with Intel® Scalable System Framework
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Production Deep Learning with NVIDIA GPU Inference Engine | NVIDIA Technical Blog
What is a GPU and do you need one in Deep Learning? | by Jason Dsouza | Towards Data Science
Porting Algorithms on GPU
