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AWS IoT Greengrass Enables NVIDIA Jetson to Seamlessly Deploy AI for Edge Devices SAN JOSE, Calif., March 18, 2019 GPU Technology Conference—NVIDIA today announced a collaboration with Amazon Web Services (AWS) IoT on NVIDIA® Jetson™ to enable customers to deploy AI and deep learning to millions of connected devices. This joint solution enables models to […]

Collaboration to Accelerate Use of Autonomous Vehicles and AI Technologies Expands to New Testing and Validation System SAN JOSE, Calif., March 18, 2019 GPU Technology Conference — Toyota Research Institute-Advanced Development (TRI-AD) and NVIDIA today announced a new collaboration to develop, train and validate self-driving vehicles. The partnership builds on an ongoing relationship with Toyota to

Open, Scalable Simulation Platform Enables Large Virtual Fleets of Self-Driving Cars SAN JOSE, Calif., March 18, 2019 GPU Technology Conference — NVIDIA today announced the NVIDIA DRIVE Constellation™ autonomous vehicle simulation platform is now available. The cloud-based platform enables millions of miles to be driven in virtual worlds across a broad range of scenarios — from routine

Mathematically Rigorous and Validated in Simulation, Safety Driving Decision Algorithms Protect Against Unpredictability of Real-World Traffic SAN JOSE, Calif., March 18, 2019 GPU Technology Conference—NVIDIA today bolstered its NVIDIA DRIVE™ AV autonomous vehicle software suite with a planning and control layer designed to enable a safe and comfortable driving experience. A primary component of this

March 18, 2019 – Today at the GPU Technology Conference, NVIDIA founder and CEO Jensen Huang announced NVIDIA DRIVE AP2X — a complete Level 2+ automated driving solution encompassing DRIVE AutoPilot software, DRIVE AGX and DRIVE validation tools. DRIVE AP2X incorporates DRIVE AV autonomous driving software and DRIVE IX intelligent cockpit experience. Each runs on

Make cities smarter by connecting NVIDIA DeepStream Edge AI and Microsoft Azure IoT. March 18, 2019 – It’s a huge challenge extracting actionable insights from the sea of data created by the world’s billions of cameras and sensors. Bringing all this raw data to the cloud is inefficient because of bandwidth, cost and latency limitations.

Robotics developer toolbox — Isaac apps, GEMs, Robot Engine and Sim — is moving into general availability March 18, 2019 – Robotics developers are off to the races creating autonomous machines of the future. We’re fueling their efforts with the NVIDIA Isaac SDK, which will be publicly available soon as a free robotics developer toolbox

SAN JOSE, Calif., March 18, 2019 GPU Technology Conference—NVIDIA today announced the Jetson Nano™, an AI computer that makes it possible to create millions of intelligent systems. The small but powerful CUDA-X™ AI computer delivers 472 GFLOPS of compute performance for running modern AI workloads and is highly power-efficient, consuming as little as 5 watts.

With support for AWS RoboMaker, NVIDIA platform allows robots to be developed and deployed faster. March 18, 2019 – The NVIDIA Jetson AI computer platform now supports Amazon Web Services AWS RoboMaker. Robotic simulation and development can now be easily done in the cloud and deployed across millions of robots and other autonomous machines powered

A system for radiologists to deliver AI-assisted annotation, adapt AI for their patients, and deploy it in the hospital. March 18, 2019 – AI is ready to unlock massive potential in hospital systems, especially in one of the areas where deep learning holds the most promise: medical imaging. That’s why NVIDIA introduced Clara AI, a