Found in Robotics News & Content, with a score of 24.95
May 20, 2020
NVIDIA unveiled NVIDIA DGX A100, the third generation of an advanced AI system, delivering 5 petaflops of AI performance and consolidating the power and capabilities of an entire data center into a single flexible platform for the first time. Immediately available, DGX A100 systems have begun shipping worldwide, with the first order going to the U.S. Department of Energy’s (DOE) Argonne National Laboratory, which will use the cluster’s AI and computing power to better understand and fight COVID-19. “NVIDIA DGX A100 is the ultimate instrument for advancing AI,” says Jensen Huang, founder and CEO of NVIDIA. “NVIDIA DGX is the…
Found in Robotics News & Content, with a score of 13.80
May 01, 2020
…July 2019 when Luxion announced it would support the NVIDIA RTX platform for real-time ray tracing, a key rendering technology. “Our development team was able to quickly show KeyShot with GPU acceleration and [show] where performance could be gained, which further convinced us to move forward with support for NVIDIA RTX,” said Jensen during the announcement. Today the two largest vendors of GPU technology—NVIDIA and AMD—are both finding a fast-growing market for using real-time rendering in product development workflows. These changes are happening across all levels of engineering technology. Mainstream applications for engineering design and simulation are reaping benefits not…
Found in Robotics News & Content, with a score of 45.42
April 27, 2020
NVIDIA has announced the completion of its acquisition of Mellanox Technologies, Ltd., for a transaction value of $7 billion. The acquisition, initially announced on March 11, 2019, unites two of the leading companies in high performance and data center computing. Combining NVIDIA’s computing expertise with Mellanox’s high-performance networking technology, the move will enable customers to achieve higher performance, greater use of computing resources and lower operating costs. “The expanding use of AI and data science is reshaping computing and data center architectures,” says Jensen Huang, founder and CEO of NVIDIA. “With Mellanox, the new NVIDIA has end-to-end technologies from AI…
Found in Robotics News & Content, with a score of 29.51
March 26, 2020
NVIDIA GTC Virtual Kicks Off NVIDIA GTC Virtual kicked off this week, with podcasts, live talks, and tutorials. If you have previously registered for GTC, you are automatically registered for GTC Virtual. The Virtual event is free, no fee required. You can go to GTC virtual site, put a check list on topics that interest you, and put live talks on your schedule or start watching recorded talks that are available on demand NVIDIA CEO Jensen Huang recently published a blog post, stating,“We have exciting products and news to share with you, but this isn’t the right time. We’re going…
Found in Robotics News & Content, with a score of 19.66
January 10, 2020
…pushes the limits even further. With workstations equipped with NVIDIA RTX GPUs, you can work in real-time raytracing—a mode of working previously unthinkable due to the computing burden it entails. When the first crop of NVIDIA RTX GPUs based on Turning architecture was introduced at the NVIDIA GPU Technology Conference (GTC), Kim Libreri, CTO of Epic Games, said, “The availability of these technologies is making real-time ray tracing a reality. By making such powerful features available in Unreal Engine 4, we are shaping the next generation of game and movie graphics.” “With Quadro RTX-accelerated ray tracing and AI denoising, [users]…
Found in Robotics News & Content, with a score of 25.42
January 09, 2020
…virtual reality) systems, and AI-powered consumer gadgets. Toyota and NVIDIA At the show, Toyota’s booth showcases the T-HR3 humanoid partner robot. The robot is controlled by a human driver, whose movements dictate the robot's action. GPU maker NVIDIA plays a role in the development of T-HR3. Its Isaac software development kit for AI-driven robotics—a technology for training and simulating robots—is part of the project. AMD with mobile processors Another GPU maker, AMD, promoted its processors, targeting mobile computers. The company unveiled what it calls “the world’s first 7nm high-performance CPUs and GPUs.” The product line includes the Ryzen 4000 mobile…
Found in Robotics News & Content, with a score of 34.66
November 21, 2019
NVIDIA makes available a new kind of graphics processing unit-accelerated supercomputer in the cloud on Microsoft Azure. Built to handle demanding artificial intelligence (AI) and high-performance computing applications, the largest deployments of Azure’s new NDv2 instance rank among the world’s fastest supercomputers, offering up to 800 NVIDIA V100 Tensor Core GPUs interconnected on a single Mellanox InfiniBand backend network, NVIDIA reports. It enables customers for the first time to rent an entire AI supercomputer on demand from their desk, and match the capabilities of large-scale, on-premises supercomputers that can take months to deploy. “Until now, access to supercomputers for AI…
Found in Robotics News & Content, with a score of 4.07
November 01, 2019
…with the latest advances in compute capabilities, such as NVIDIA’s Jetson product line and cutting-edge AI, such as deep neural networks, it becomes possible to structure the information so as to extract troves of useful features,” says Carlos Asmat, lead robotics engineer at Piaggio Fast Forward. “Given the increasing abundance of computational power, it becomes more advantageous to use sensors that can capture as much information as possible while remaining affordable.” Despite these advances, sensing technologies currently supporting smart home robots represent an early, transitional stage of development. Designers and users alike can expect steady change in this sector. “As…
Found in Robotics News & Content, with a score of 36.05
August 16, 2019
…release of the JetBot AI Kit powered by the NVIDIA Jetson Nano and the Course Materials Kit for “Getting Started with AI on the Jetson Nano” from NVIDIA’s Deep Learning Institute. SparkFun’s version of the JetBot merges the machine learning capabilities of the NVIDIA Jetson Nano with the vast SparkFun ecosystem of sensors and accessories. Packaged as a ready-to-assemble robotics platform, the SparkFun JetBot Kit requires no additional components or 3D printing to get started, just assemble the robot, boot up the Jetson Nano and start using the JetBot immediately. The Jetson Nano Developer Kit offers extensibility through a GPIO…
Found in Robotics News & Content, with a score of 12.92
June 01, 2019
…CPU performance, outstripping Moore’s law. GPU vendors AMD and NVIDIA are shipping utilities that help GPUs participate in new workflows. Companies that would create a rendering farm of networked PCs to create photorealistic images or animations in the past can now use GPUs. The price/performance comparisons are also shifting; for software that supports GPUs for advanced rendering, it is now cheaper to assemble a set of GPUs for rendering than to create (or rent on the cloud) a render farm. There are three main categories where the increased use of GPUs in design engineering is now advantageous, says Brian Hillner,…
Found in Robotics News & Content, with a score of 13.26
May 10, 2019
…workstations and mobile workstations can all be configured with NVIDIA GPUs. They are also certified for use with popular design engineering software packages. “Dyndrite's geometry kernel is purpose-built to use every bit, flop, register and clock cycle of the latest NVIDIA GPU,” said Shawn Hopwood, Dyndrite’s chief marketing officer. Thank's to NVIDIA's GPGPU programming paradigm, CUDA, Dyndrite can run all the computations of its kernel on the GPU. Though Dyndrite minimally needs a Maxwell architecture to run, the latest Turing line computes 5-15x faster over the Maxwell line for Dyndrite's CAD to Print workflows. Another additive manufacturing startup is Atlas…
Found in Robotics News & Content, with a score of 13.44
May 01, 2019
…GPU-driven autonomous car development, graphics processing unit (GPU) maker NVIDIA has developed an autonomous vehicle platform. Its DRIVE AP2X Level 2+ AutoPilot uses technology from the higher levels of autonomy. “DRIVE AP2X is a Level 2+ automated driving system. The driver is still responsible and must monitor the road, but we’re also incorporating surround sensors and AI software running on deep neural networks to protect the driver and the passengers in the car,” says Danny Shapiro, senior director of automotive, NVIDIA. “The technology also includes driver monitoring, and can issue alerts or take action if the driver is distracted or…
