Efficiency and efficacy: Aws instance benchmarking of stable diffusion 1.4 for ai image generation
Y Jani - North American Journal of Engineering Research, 2023 - najer.org
This study benchmarks the performance and cost-efficiency of various AWS instances for AI
image generation using the CompVis/stable-diffusion-v1-4 model [1][2]. We evaluate …
image generation using the CompVis/stable-diffusion-v1-4 model [1][2]. We evaluate …
Analyzing inference workloads for spatiotemporal modeling
Ensuring power grid resiliency, forecasting climate conditions, and optimization of
transportation infrastructure are some of the many application areas where data is collected …
transportation infrastructure are some of the many application areas where data is collected …
Characterizing Training Performance and Energy for Foundation Models and Image Classifiers on Multi-Instance GPUs
C Espenshade, R Peng, E Hong, M Calman… - Proceedings of the 4th …, 2024 - dl.acm.org
GPUs are becoming a scarce resource in high demand, as many teams build and train
increasingly advanced artificial intelligence workloads. As GPUs become more performant …
increasingly advanced artificial intelligence workloads. As GPUs become more performant …
Analyzing Inference Workloads for Spatiotemporal Modeling
Ensuring power grid resiliency, forecasting climate conditions, optimization of transportation
infrastructure are some of the many application areas where data is collected in both space …
infrastructure are some of the many application areas where data is collected in both space …