NVIDIA Jarvis is an SDK for building and deploying AI applications that fuse vision, speech and other sensors. It offers a complete workflow to build, train and deploy GPU-accelerated AI systems that can use visual cues such as gestures and gaze along with speech in context.

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NVIDIA’s DeepStream SDK delivers a complete streaming analytics toolkit for AI-based video and image understanding, as well as multi-sensor processing. DeepStream is an integral part of NVIDIA Metropolis, the platform for building end-to-end services and solutions for transforming pixels and sensor data to actionable insights.

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The RAPIDS suite of open source software libraries and APIs gives you the ability to execute end-to-end data science and analytics pipelines entirely on GPUs. Licensed under Apache 2.0, RAPIDS is incubated by NVIDIA® based on extensive hardware and data science science experience. RAPIDS utilizes NVIDIA CUDA® primitives for low-level compute optimization, and exposes GPU parallelism and high-bandwidth memory speed through user-friendly Python interfaces.

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NVIDIA Transfer Learning Toolkit

The term “transfer learning” implies that you can extract learned features from an existing neural network and transfer these learned features by transferring weight from an existing neural network. Transfer Learning Toolkit enables you to build high performance IVA based applications such as retail analytics, logistics, smart cities, access control and more.

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NVIDIA TensorRT™ is a platform for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high-throughput for deep learning inference applications.

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Triton Inference Server

The NVIDIA Triton inference server simplifies the deployment of AI models at scale in production. Triton Server is open-source inference server software that lets teams deploy trained AI models from many frameworks, including TensorFlow, TensorRT, PyTorch, and ONNX.

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Automatic Mixed Precision

Deep Neural Network training has traditionally relied on IEEE single-precision format, however with mixed precision, you can train with half precision while maintaining the network accuracy achieved with single precision. This technique of using both single- and half-precision representations is referred to as mixed precision technique.

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GPU-Optimized Containers

NVIDIA offers GPU-accelerated deep learning and HPC containers from NVIDIA GPU Cloud (NGC) that are optimized to deliver maximum performance on NVIDIA GPUs. The NGC container registry includes NVIDIA tuned, tested, certified, and maintained containers for the top deep learning software like TensorFlow, PyTorch, MXNet, TensorRT, and more. NGC also has third-party managed HPC application containers, and NVIDIA HPC visualization containers.

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Build with DeepStream. Deploy and Manage with AWS IoT Services

Learn about a use case that demonstrates the workflow of deploying machine learning models, updating and monitoring a DeepStream sample application from the AWS cloud to an NVIDIA Jetson Nano.

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Deep Learning for Intelligent Video Analytics

Learn how to build object detection and tracking models to analyze data from large-scale video streams using NVIDIA DeepStream technology.

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Use NVIDIA’s DeepStream SDK to Deploy Streaming Analytics at Scale and Accelerate Development of Efficient Deep Learning Networks

Learn how to build modular and scalable frameworks for multi-stream and how to utilize pre-trained models to update your AI applications.

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DeepStream SDK - Accelerating Real-Time AI-Based Video and Image Analytics

This technical webinar provides you with a deeper dive into the DeepStream 4.0 including greater AI inference performance on the edge.

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How Walmart Improves Forecast Accuracy with NVIDIA GPUs

How Walmart Improves Forecast Accuracy with NVIDIA GPUs

Walmart Labs has been charged with building the next-generation stores forecasting system, replacing the current system from JDA. Learn about runtime comparisons of CPU vs GPU-based algorithms on our real-world problems.

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Ai-Fi NanoStore

Nanostores: Modular Convenience Stores for Everyone, Powered by GPUs

Learn how NVIDIA GPUs allow AiFi’s auto-checkout system to achieve accuracy and efficiency in in-store customer tracking, shelf inventory management, and automated store monitoring. They will also talk about a case study of NVIDIA Tesla P4 setup and cover technology choices behind various automated checkout solutions.

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AI Vision for the Future of Retail

By deploying modern deep learning techniques, technology companies are improving the overall retail shopping experience by getting rid of slow, cumbersome checkout lines. Standard Cognition will talk about their work on autonomous checkout, which can make shopping a seamless interaction.

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The NVIDIA Deep Learning Institute (DLI) offers hands-on training in AI and accelerated computing to solve real-world problems. Training is available as self-paced, online courses or in-person, instructor-led workshops.

DLI Course

Getting Started with DeepStream for Video Analytics on Jetson Nano

You’ll learn how to:

  • Set up your Jetson Nano and (optional) camera
  • Build end-to-end DeepStream pipelines to convert raw video input into insightful annotated video output
  • Configure multiple video streams simultaneously

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DLI Course

Fundamentals of Accelerated Data Science with RAPIDS

You’ll learn how to:

  • Use cuDF, Dask, and BlazingSQL to manipulate massive datasets directly on the GPU
  • Utilize a wide variety of GPU-accelerated machine learning algorithms including XGBoost, cuGRAPH, and several cuML algorithms to perform data analysis at massive scale
  • Perform multiple analysis tasks on several massive datasets in an effort to stave off a simulated epidemic outbreak affecting the entire UK population
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NVIDIA Retail News

Supercomputing Platform for the Edge

The edge platform provides a high-performance, cloud-native platform that lets organizations harness rapidly streaming data from factory floors, manufacturing inspection lines and city streets to securely deliver next-generation AI, IoT and 5G-based services at scale, with low latency.

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Postmates Presents New NVIDIA Jetson AGX Xavier Equipped Delivery Robot at GTC

Postmates, the on-demand delivery company that operates across the United States presented a new all-electric autonomous delivery robot equipped with the NVIDIA Jetson AGX Xavier module for autonomous machines.

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