Trends in GPU Price-Performance – Epoch

Using a dataset of 470 models of graphics processing units released between 2006 and 2021, we find that the amount of floating-point operations/second per $ doubles every ~2.5 years.

PDF] Architectural Requirements for Deep Learning Workloads in HPC Environments

Cost Per Frame: Best Value Graphics Cards in Early 2023

Cost Per Frame: Best Value Graphics Cards in Early 2023

PDF) Research on the Performance of Text Mining and Processing in Power Grid Networks

How much computing capacity exists in GPUs and TPUs in Q1 2023? [AI Impacts Wiki]

Jsevillamol - AI Alignment Forum

Why GPUs for Machine Learning? A Complete Explanation - WEKA

GPU prices are finally beginning to decline

Efficiently Estimating Pareto Frontiers with Cyclic Learning Rate Schedules

Energy Efficiency Trends in Computation and Long-Term Implications – Josephius

Cost Per Frame: Best Value Graphics Cards in Early 2023

Ushering in the 5th epoch of distributed computing with accelerated AI technologies

Sampling and pipelining method speeds up deep learning on large graphs

Trends in GPU Price-Performance – Epoch

Interpretable benchmarking of the available GPU machines on Paperspace