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…the forefront, you’ll discover BOXX NVIDIA-powered solutions purpose-built for your specific workflow. By attending this webinar, you’ll learn: How simulation software is in the midst of a dramatic transformation to real-time Why product design and engineering workflows are now more streamlined, driven by advancements in VR, raytracing, and generative design How state-of-the-art solutions from BOXX, powered by NVIDIA GPUs, accelerate…
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Today, NVIDIA CEO Jensen Huang joined Ola Källenius, Chairman of the Board of Management of Daimler AG and Head of Mercedes-Benz Cars, for a joint press conference, streamed live. The two companies plan to “create a revolutionary in-vehicle computing system and AI computing infrastructure. Starting in 2024, this will be rolled out across the fleet of next-generation Mercedes-Benz vehicles, enabling…
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Microway is delivering a NVIDIA DGXTM A100 system to a higher education institution in the United States. DGX A100 is a 5 petaflops AI system to consolidate the power and capabilities of an entire data center, supporting analytics, training and inference in a single flexible platform. The University of Florida will install multiple DGX A100 systems to accelerate AI research…
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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)…
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…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…
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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…
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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…
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…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…
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…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.…
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…and DSV; smart infrastructure companies like Transurban; and technology leaders including NVIDIA, Bosch and Ambarella to bring autonomous trucks to market.
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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…
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…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…
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…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…
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…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…
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…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…
Edge computing gives AI agents the processing power to turn instructions into…
Daimon-TWM world model debuts for the public
Platform helps robots adapt to complex tasks
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