Found in Robotics News & Content, with a score of 3.13
November 20, 2019
…Built upon the company’s Accelerated Computation Engine (ACE), a GPU-powered geometry kernel, AMT provides manufacturing-oriented features. Capabilities include native CAD file import for maximum quality of 3D-printed output, as well as an integrated Python application programming interface (API) for customizable scripting of interactive, automated workflows. Dyndrite’s ACE geometry kernel and AMT build processor were designed from the ground up using a “First Principles” approach, leveraging modern methodologies and technologies to meet the requirements of production oriented customers in the aerospace, medical, automotive, energy and service bureau markets. Dyndrite enables users to manage terabytes of manufacturing data, print higher-order geometries such…
Found in Robotics News & Content, with a score of 2.47
November 12, 2019
…a quick, easy and automated way to get much closer to a “right first time” build. Sunata is a GPU-accelerated high-performance computing additive manufacturing software solution that can deliver results fast, according to the companies. GPU-accelerated computing is the employment of a graphics processing unit (GPU) along with a computer processing unit (CPU) to facilitate processing-intensive operations such as deep learning, analytics and engineering applications. The acquisition is due to close in November 2019. Terms of the transaction were not disclosed. Sources: Press materials received from the company and additional information gleaned from the company’s website.
Found in Robotics News & Content, with a score of 2.40
January 10, 2020
…AI-Accelerated Raytracing When hardware got better at harnessing the GPUs processing power, it also changed CAD users’ attitude toward rendering. Once an infrequent operation for CAD users, rendering is now a push-button option in many standard CAD packages. Whereas rendering in the past meant waiting a few minutes to hours for the results, today the rendering result is almost instantaneous. The latest generation of GPUs, however, 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…
Found in Robotics News & Content, with a score of 2.38
August 16, 2022
…TWR is built using NVIDIA CUDA libraries for creating GPU-accelerated applications, as well as the Jetson AGX Orin module for high-performance AI at the edge. The system uses NVIDIA GPUs in the cloud for global fleet path planning. These systems pass information from a vehicle to infrastructure, other vehicles, any surrounding entities. The company said its primary focus is on improving first- and last-mile logistics such as parking. Its Level 5 Control Tower is a mesh network of sensors and computers placed on infrastructure around a facility, like buildings or light poles — rather than on individual cars — to…
Found in Robotics News & Content, with a score of 2.37
March 25, 2019
Around noon on Monday March 18, NVIDIA GPU Technology Conference (GTC) attendees began boarding the long black buses that would shuttle them to the site of the keynote. The 15-min ride from the convention center took them to the San Jose State University's sunny campus. It was still more than an hour before the scheduled keynote, but the queue was already snaking through the grass fields, all the way to the student union building that houses the canteen. “Hey, thanks for coming out this way! We got so packed in the old place we had to get you out here.…
Found in Robotics News & Content, with a score of 2.27
December 11, 2018
…the application's ability by tapping the user's local machine's GPU, be it a laptop, a phone, or a tablet.” The decision to launch a cloud-hosted CAD application was in part a gamble on increasing bandwidth. “That's the wave we're riding on; we knew bandwidth would improve over time,” says McEleney. “You'll definitely see performance increases when 5G hits, but the beauty of our position is, we don't need to do any extra work to take advantage of it” Onshape released its first public beta in 2015. Unlike many legacy CAD programs, Onshape wrote its architecture from the ground up to…
Found in Robotics News & Content, with a score of 2.03
June 17, 2022
…popular field-programmable gate arrays (FPGAs) and graphics processing units (GPUs). ROBOTCORE extends ROS and works with vendor-proprietary libraries, empowering hardware acceleration in robotics across silicon vendors, the company said. Framework enables developers to create APIs ROBOTCORE allows robotic engineers to create ROS and ROS 2 API-compatible intellectual property (IP) cores that increase a robot's performance, including latency and throughput, claimed Acceleration Robotics. These “robot cores” can make robots faster, more deterministic, and power-efficient, the company said. ROBOTCORE launches with support for more than 10 development boards, including the most popular hardware-acceleration systems to build robots with ROS. The framework builds…
Found in Robotics News & Content, with a score of 1.90
May 02, 2023
…engine of AI innovation Each NVIDIA H100 Tensor Core GPU in a DGX H100 system provides on average about 6x more performance than prior GPUs, said NVIDIA. A DGX H100 packs eight of them, each with a Transformer Engine designed to accelerate generative AI models. The eight H100 GPUs connect over NVIDIA NVLink to create one giant GPU. Scaling doesn’t stop there: Organizations can connect hundreds of DGX H100 nodes into an AI supercomputer using the 400 Gbps ultra-low latency NVIDIA Quantum InfiniBand, twice the speed of prior networks, according to the company. Fueled by a full software stack DGX…
Found in Robotics News & Content, with a score of 1.74
October 20, 2023
…a coding LLM. Then, it iterates between reward sampling, GPU-accelerated reward evaluation, and reward reflection to progressively improve its reward outputs. Click on image to enlarge. Source: NVIDIA Research Eureka AI trains robots Eureka-generated reward programs — which enable trial-and-error learning for robots — can outperform expert human-written ones on more than 80% of tasks, according to the paper. This leads to an average performance improvement of more than 50% for the bots, said NVIDIA. The AI agent taps the GPT-4 LLM and generative AI to write software code that rewards robots for reinforcement learning. It doesn’t require task-specific prompting…
Found in Robotics News & Content, with a score of 1.59
October 16, 2020
…use cases. It features nearly 14,000 NVIDIA Ampere architecture-based GPUs and NVIDIA Mellanox HDR 200Gb/s InfiniBand networking. Leonardo is procured by EuroHPC, a collaboration between national governments and the European Union to develop a supercomputing ecosystem and exascale supercomputing in Europe, and funded by the European Commission through the Italian Ministry of University and Research. “The EuroHPC technology roadmap for exascale in Europe is opening doors for rapid growth and innovation in HPC and AI,” says Marc Hamilton, vice president of solutions architecture and engineering at NVIDIA. “We’re working with CINECA and Atos to accelerate scientific discovery across a broad…
Found in Robotics News & Content, with a score of 1.53
July 16, 2020
…supply. Speaking on how the pandemic has affected the GPU shipment in 2020 Q1, analyst Jon Peddie from JPR also recounted, “For a brief period, in the U.S., UK, and parts of western Europe, retail shops were completely depleted of laptops ... The people were buying and depleting the PC retailers' inventory, but the new parts for inventory refill weren't readily available from the supply side, but the semiconductors had already shipped their chips out, so they were already on their way.” Could engineers and designers working from home possibly face a mobile workstation shortage? To find out, we spoke…
Found in Robotics News & Content, with a score of 1.45
May 20, 2020
…integrate eight of the new NVIDIA A100 Tensor Core GPUs, providing 320GB of memory for training the largest AI datasets, and the latest high-speed NVIDIA Mellanox HDR 200Gbps interconnects. Multiple smaller workloads can be accelerated by partitioning the DGX A100 into as many as 56 instances per system, using the A100 multi-instance GPU feature. Combining these capabilities enables enterprises to optimize computing power and resources on demand to accelerate diverse workloads, including data analytics, training and inference, on a single, fully integrated, software-defined platform. Immediate DGX A100 Adoption, Support A number of the world’s largest companies, service providers and government…
