An Overview of NVIDIA's AI Tools For Developers

Here is a quick overview of the tools NVIDIA offers for Developers!  All of these tools are available through the NVIDIA Developer platform, and joining is free. 

NIM APIs - designed for developers who need to perform AI inference in various scenarios. Notable examples include the Deepfake Image Detection Model by Hive, and the llama-3.2-90b-vision-instruct model by Meta. The following video is an excellent tutorial for getting started with an NVIDIA NIM.

LLMs - NVIDIA provides Large Language Models(LLMs) for tasks such as data generation and classification. These models, including the latest Llama 3.1, are valuable for AI applications like deep reasoning. Customize Generative AI Models for Enterprise Applications with Llama 3.1

Sample uses for LLMs (Transformer Models)

Generative AI Solutions - NVIDIA's Generative AI Solutions offer a comprehensive set of tools for developers. A great starting point is the Full-Stack Generative AI Platform for Developers. This platform provides an overview of NVIDIA's software. hardware, and services for building with Generative AI. Its "full-stack" approach enables developers to complete entire builds using NVIDIA products.

Full-Stack Overview

NVIDIA Documentation Hub - a centralized resource for accessing technical documentation for all NVIDIA products and services.

AI Inference Tools and Technologies - NVIDIA offers tools specifically designed to perform inference, which involves using AI to generate or process data. Three notable tools included in this page are sample applications for Building a Digital Human (Avatar), Designing Molecules, and Data Extraction.

Building a Digital Human Demo

RAPIDS Suite - contains AI Libraries that improve the performance of other open-source tools. It includes support for libraries such as Apache Spark, PyData, Dask, Python, and C++.

Full-Stack Using RAPIDS Libraries

Riva Speech AI SDK - a collection of software development kits (SDKs) useful for speech-related tasks. It offers starter guides for key use cases, including Text-To-Speech, Automatic Speech Recognition, and Neural Machine Translation. A tutorial for getting started with RIVA can be found in the video below.

DeepStream SDK - a tool useful for vision-based AI applications.  It supports tasks such as video encoding, decoding, and rendering, enabling real-time video analysis.

DeepStream SDK

NVIDIA Developer Forums - an excellent resource for developers to ask questions and find answers to technical issues related to NVIDIA's AI tools.

Developer Forums

In conclusion, NVIDIA offers an extensive library of tools for a wide range of AI applications. Many of these tools can be accessed for free through the NVIDIA developer program, making it a valuable resource for developers at any level.