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…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.…
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…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,…
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…MW to support next-generation NVIDIA GPUs and future iterations of NVIDIA accelerated computing infrastructure. The sidecar converts AC power coming into the data center into 800 VDC, enabling delivery of megawatt-scale rack power safely, efficiently and with minimal material and infrastructure costs. Additionally, Schneider Electric said its sidecar: Delivers industry-leading efficiency Features modular power conversion shelves Is equipped with modular…
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…deterministic control, an RDNA 3.5 GPU for real-time visualization and graphics, and an XDNA 2 NPU for low-latency, low-power AI acceleration - all in a single chip. “As industries push for more immersive AI experiences and faster on-device intelligence, they need high performance without added system complexity,” said Salil Raje, senior vice president and general manager, AMD Embedded. “The Ryzen…
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…8x higher graphics processing unit (GPU) compute and an estimated 36% higher system tera operations per second (TOPS) of performance compared with the previously announced P100 Series processors in the same compact ball grid array (BGA) package1. Scalable AI compute for demanding applications The company stated that its new P100 Series processors offer AMD ROCm software support, providing developers and…
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…instances accelerated by NVIDIA L40S GPUs. And with the NVIDIA OSMO cloud-native orchestration platform, developers can manage their complex robotics workflows across their AWS computing infrastructure. Smoother development options through EC2 Field AI is building robot brains that enable robots to autonomously manage a wide range of industrial processes. Vention creates pre-trained skills to ease the development of robotic tasks.…
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…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…
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…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…
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…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…
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…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…
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…made up of CPUs and GPUs. With the acquisition of Xilinx, the company is posed to add a healthy collection FPGAs (field programmable gate arrays) and Adaptive SoCs (systems on chips) to its offerings. This morning, AMD also reported strong 2020 Q3 earnings, which partly explains the company's shopping spree. The Battle for HPC Market Share With the work station…
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…Rapt.AI said it provides workload-aware GPU orchestration and automation that simplifies multi-user collaboration and enables seamless scaling - from NVIDIA GB10 local systems to NeoCloud (FarmGPU), a high-performance GPU cloud purpose-built for distributed training, inference and large-scale data science. “FarmGPU is proud to extend HMCI’s local AI capacity with our NeoCloud platform, strengthened by our partnership with Solidigm’s AI Central…
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…(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…
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…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…
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…zero-copy path from sensor to GPU, with frames flowing directly into NVIDIA hardware encoders and AI inference pipelines simultaneously. For data collection teams, Ouster said that this means higher-throughput dataset capture at full resolution. And for deployment teams, Ouster said that it means running perception, segmentation and policy networks in parallel on the same frames with more GPU headroom for…
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
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