Taking advantage of GPU-accelerated computation for Natural Language Processing (NLP) does not have to be a whole new foreign language in itself. New software development kits and pretrained AI models with state-of-the-art performance can kick-start your newest development task or be added into your existing speech and text analytics workflow.

NVIDIA and Carahsoft bring you up to speed on NVIDIA's latest open-source, compute-accelerated NLP tools and walk you through a practical demonstration on how to try out Jarvis and NeMo right away. The principles we cover will apply whether you are at your own GPU workstation, using an enterprise deployment, or pulling from cloud GPU resources.

In this webinar, you will learn about:

• NVIDIA Jarvis for real-time Conversational AI and fast batch-processing of both speech audio and text
• The NeMo toolkit for experimentation management and developing NLP AI models, such as for Neural Machine Translation
• A set of relevant, real-world, commercial use cases of Jarvis and NeMo
• A demo on how you can use Jarvis to solve a needle-in-the-haystack analytics problem with GPU accelerated processing