NVIDIA Ingest is an early access set of microservices for parsing hundreds of thousands of complex, messy unstructured PDFs and other enterprise documents into metadata and text to embed into retri…

Scalable data pre processing and curation toolkit for LLMs

Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

✨✨Latest Advances on Multimodal Large Language Models

Collection of AWESOME vision-language models for vision tasks

A high-throughput and memory-efficient inference and serving engine for LLMs

Official inference library for Mistral models

Production-Grade Container Scheduling and Management

Ongoing research training transformer models at scale

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

NVIDIA device plugin for Kubernetes

Adding guardrails to large language models.

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.

EnergyPlus™ is a whole building energy simulation program that engineers, architects, and researchers use to model both energy consumption and water use in buildings.

A system for agentic LLM-powered data processing and ETL

🦜🔗 Build context-aware reasoning applications

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

VILA - a multi-image visual language model with training, inference and evaluation recipe, deployable from cloud to edge (Jetson Orin and laptops)

Collection of notebook guides created by the Brev.dev team!

HART: Efficient Visual Generation with Hybrid Autoregressive Transformer

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

NVIDIA GPU Operator creates, configures, and manages GPUs in Kubernetes

Spark RAPIDS plugin - accelerate Apache Spark with GPUs

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilizatio…

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Build and run containers leveraging NVIDIA GPUs

CUDA Python Low-level Bindings

First Open-Source Industry-Specific Model for Semiconductors