This market research report was originally published at Tractica's website. It is reprinted here with the permission of Tractica. NVIDIA is not necessarily known for powering low power AI applications. Most of its artificial intelligence (AI) focus has been on powering high power cloud or data center applications, where its Tesla graphics processing unit (GPU) […]
NVIDIA Expands its AI Edge Capabilities Read More +
This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. Gone are the days of using a single GPU to train a deep learning model. With computationally intensive algorithms such as semantic segmentation, a single GPU can take days to optimize a model. But multi-GPU hardware is expensive,
Speeding Up Semantic Segmentation Using MATLAB Container from NVIDIA NGC Read More +
ON Semiconductor’s Image Sensor model provides real-time inputs to NVIDIA DRIVE Constellation simulation platform SAN JOSE, CA – GTC – March 19, 2019 – ON Semiconductor (Nasdaq: ON), driving energy-efficient innovations, today announced that it is leveraging its sophisticated image sensor modeling technology to provide real-time data to the NVIDIA DRIVE Constellation™ simulation platform. The
ON Semiconductor Collaborates with NVIDIA on Cloud-based Autonomous Vehicle Simulation Read More +
March 18, 2019 – A novice painter might set brush to canvas aiming to create a stunning sunset landscape — craggy, snow-covered peaks reflected in a glassy lake — only to end up with something that looks more like a multi-colored inkblot. But a deep learning model developed by NVIDIA Research can do just the
Stroke of Genius: GauGAN Turns Doodles into Stunning, Photorealistic Landscapes Read More +
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
NVIDIA Teams with Amazon Web Services to Bring AI to Millions of Connected Devices Read More +
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
NVIDIA Announces DRIVE AP2X – World’s Most Complete Level 2+ Autonomous Vehicle Platform Read More +
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.
NVIDIA and Microsoft Create Edge-to-Cloud Real-Time Streaming Video Analytics Solution Read More +
Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.
Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596
