GitHub - NVIDIA/nvidia-container-toolkit: Build and run containers leveraging NVIDIA GPUs

GitHub - NVIDIA/nvidia-container-toolkit: Build and run containers leveraging NVIDIA GPUs

GitHub - NVIDIA/cloud-native-stack: Run cloud native workloads on NVIDIA GPUs

GitHub - NVIDIA/cloud-native-stack: Run cloud native workloads on NVIDIA GPUs

GitHub - NVIDIA/OpenSeq2Seq: Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

GitHub - NVIDIA/gpu-operator: NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes

GitHub - NVIDIA/modulus: A PyTorch based deep-learning toolkit for developing DL models for physical systems

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

GitHub - NVIDIA/NeMo: NeMo: a toolkit for conversational AI

GitHub - NVIDIA/spark-rapids: Spark RAPIDS plugin - accelerate Apache Spark with GPUs

GitHub - pytorch/TensorRT: PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

GitHub - nvidia-holoscan/.github

.github/profile/performance-summary.md at main · NVIDIA-ISAAC-ROS/.github

Accelerating AI Development with NVIDIA TAO Toolkit and Weights & Biases | NVIDIA Technical Blog

Boost AI Development with Pretrained Models and the NVIDIA TAO Toolkit | NVIDIA Technical Blog

Bring AI to Market Fast with Pretrained Models and NVIDIA TAO Toolkit 3.0 | NVIDIA Technical Blog

Food Storage Containers- Buy food containers online in India

GitHub - NVIDIA-Merlin/Merlin: NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature engineering and preprocessing to training deep learning models and running inference in production.

Optimizing Power Grids and Renewable Energy with Dynamic Modeling on NVIDIA GPUs | NVIDIA On-Demand

NVIDIA Studio at GTC: New RTX Laptop GPUs, Studio Laptops, Omniverse and Canvas Upgrades | NVIDIA Blog

Supercharging AI Video and AI Inference Performance with NVIDIA L4 GPUs | NVIDIA Technical Blog

The Need for Speed: Edge AI with NVIDIA GPUs and SmartNICs, Part 1 | NVIDIA Technical Blog

GitHub - NVIDIA-Merlin/Transformers4Rec: Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.

Leveraging AI at Scale to Transform Customer Experiences (Presented by CDW) | NVIDIA On-Demand

New NVIDIA RTX GPUs Power Next Generation of Workstations and PCs for Millions of Artists, Designers, Engineers and Virtual Desktop Users

Access the Latest in Vision AI Model Development Workflows with NVIDIA TAO Toolkit 5.0 | NVIDIA Technical Blog

GitHub - NVIDIA/nvcomp: Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

GitHub - NVIDIAGameWorks/kaolin-wisp: NVIDIA Kaolin Wisp is a PyTorch library powered by NVIDIA Kaolin Core to work with neural fields (including NeRFs, NGLOD, instant-ngp and VQAD).

GitHub - NVIDIA-ISAAC-ROS/isaac_ros_visual_slam: Visual odometry package based on hardware-accelerated NVIDIA Elbrus library with world class quality and performance.

Running TAO Toolkit API in NetsPresso for Effortless Vision AI Model Development and Optimization | NVIDIA On-Demand

NVIDIA Trial: Train Model with TAO Toolkit and DeepStream

GitHub: Let’s build from here

GitHub: Let’s build from here

Adobe Apps Get Supercharged by NVIDIA RTX GPUs | NVIDIA Blog

Tesla Unveils Supercomputer Powered by NVIDIA GPUs | NVIDIA Blog

DoorDash Taps NVIDIA GPUs to Accelerate AI | NVIDIA Blog

GitHub - NVIDIA-Merlin/NVTabular: NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

GitHub - NVIDIA-Merlin/NVTabular: NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale datasets used to train deep learning based recommender systems.

GitHub - NVIDIA/DeepLearningExamples: State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

New NVIDIA RTX GPUs Tackle Demanding Professional Workflows and Hybrid Work

Cost Effective Data Processing with Apache Spark and GPUs | NVIDIA On-Demand

Using More GPUs in vSphere 8 for Machine Learning and HPC Applications with NVIDIA NVSwitch | VMware

NVIDIA and Partners Build Out Universal Scene Description to Accelerate Industrial Metaverse and Next Wave of AI

NVIDIA CEO Tells NTU Grads to Run, Not Walk — But Be Prepared to Stumble | NVIDIA Blog

Leveraging Omniverse for Rich 5G Simulations

Leveraging TensorFlow-TensorRT integration for Low latency Inference

GitHub - NVIDIA/MAXINE-AFX-SDK: NVIDIA Audio Effects SDK is used to apply effects to audio stream. It provides audio denoising for broadcast use cases with real-time audio processing.

GitHub - NVIDIA/NVFlare: NVIDIA Federated Learning Application Runtime Environment

GitHub - NVIDIA/k8s-device-plugin: NVIDIA device plugin for Kubernetes

GitHub - NVIDIA/MDL-SDK: NVIDIA Material Definition Language SDK

GitHub - NVIDIA/open-gpu-kernel-modules: NVIDIA Linux open GPU kernel module source

GitHub - NVIDIA-Omniverse/PhysX: NVIDIA PhysX SDK