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This project analyzes GPU performance metrics from AI training and inference tasks, highlighting the optimal power settings for efficient operation. It generates visualizations to help identify the best max power settings for training and inference based on energy consumption.
AlphAI is a versatile Python toolkit for GPU profiling and analytics, supporting various tensor models. It enhances GPU server operations and serves as a client for American Data Science's notebook servers.
This repository is a one stop documentation for the tensorrt framework provided by NVIDIA. This repository contains every details starting from installation of tensorrt to deployment of model using Tensorrt.
Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.