'This Open-Source Library Accelerates AI Inference by 5-20x in a Few Lines of Code' by EmileCourthoud artificialintelligence deeplearning
Finally, the adoption of Artificial Intelligence is growing rapidly, although we are still far from exploiting the full potential of this technology.
Indeed, what typically happens is that AI developers spend most of their time on data analysis, data cleaning, and model testing/training with the objective of building very accurate AI models.AI models are developed by skilled data scientists and great AI engineers, who often have limited experience with cloud, compilers, hardware, and all the low-level matters.
Other companies have developed in-house AI models that work robustly. AI inference is critical to these companies, so they often build a team of hardware/cloud engineers who spend hours looking for out-of-the-box methods to optimize model deployment. Do you fall into one of these two groups? Then you might be interested in the nebullvm library, and below we explain why.You import the library, nebullvm does some magic, and your AI model will run 5-20 times faster.The goal of nebullvm library is to let any developer benefit from deep learning compilers without having to waste tons of hours understanding, installing, testing and debugging this powerful technology.
Nebullvm is quickly becoming popular, with 250+ GitHub stars on release day and hundreds of active users from both startups and large tech companies. The library aims to be:🤖. The library now works on most CPUs and GPUs and will soon support TPUs and other deep learning-specific ASICs.. nebullvm supports the most widely used frameworks and will soon support many more.. It takes a few lines of code to install the library and optimize your models..
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