Found in Robotics News & Content, with a score of 41.20
October 12, 2020
NVIDIA has announced the NVIDIA DGX SuperPOD Solution for Enterprise, a turnkey AI infrastructure, making it possible for organizations to install AI supercomputers with speed. Available in cluster sizes ranging from 20 to 140 individual NVIDIA DGX A100 systems, DGX SuperPODs are now shipping and expected to be installed in Korea, the U.K., Sweden and India before the end of the year. Sold in 20-unit modules interconnected with NVIDIA Mellanox HDR InfiniBand networking, DGX SuperPOD systems start at 100 petaflops of AI performance and can scale up to 700 petaflops to run the most complex AI workloads. “Traditional supercomputers can…
Found in Robotics News & Content, with a score of 38.95
October 07, 2020
At the virtual GTC conference this week NVIDIA gave attendees a first look at the new NVIDIA RTX A6000 and NVIDIA A40 GPUs. The GPUs are built on the Ampere architecture and feature new RT Cores, Tensor Cores and CUDA cores that can accelerate graphics, rendering, compute and AI significantly faster than previous generations. “The ability to double or triple the resolution and vastly accelerate our real-time visualization of massive, complex building models in cityscapes with the NVIDIA RTX A6000 is super impressive,” said Paul Renner, visualization manager at Kohn Pedersen Fox Associates, one of the world’s largest architecture firms.…
Found in Robotics News & Content, with a score of 26.06
October 07, 2020
…of the multiverse (multiple parallel universes). The developers at NVIDIA are bringing another type of parallel universe—the Metaverse—into reality. As CEO Jensen Huang outlined in the Kitchen Keynote that opened the NVIDIA GTC virtual conference this week, “The next 20 years will seem like nothing short of science fiction.” In his keynote, Huang emphasized the importance of enabling advanced artificial intelligence (AI), simulation, and virtual reality to enable new levels of collaboration and new platforms for developing advanced technology. The metaverse, as NVIDIA defines it, is a place where human and software agents interact in a virtual reality space. “Gamer…
Found in Robotics News & Content, with a score of 47.93
October 06, 2020
NVIDIA has expanded the NVIDIA Jetson AI at the Edge platform with an entry-level developer kit priced at just $59, opening the potential of AI and robotics to a new generation of students, educators and hobbyists. The Jetson Nano 2GB Developer Kit is designed for teaching and learning AI by creating hands-on projects in such areas as robotics and intelligent IoT. To support the effort, NVIDIA also made available free online training and AI-certification programs, which will supplement the many open-source projects, how-tos and videos contributed by thousands of developers in the Jetson community. The NVIDIA Jetson Nano 2GB Developer…
Found in Robotics News & Content, with a score of 4.72
September 15, 2020
…games in the virtual world,” points out Konttori. “With NVIDIA RTX GPUs, the application really benefits a lot from the real-time raytracing possible.” Collaborative use of VR is not confined to Varjo’s customers themselves. “We keep a minimum number of people in the office. These are people who must put together new PCBs, for example. Out of the 130 R&D engineers we have, about 100 are working from home now,” says Konttori. Part of Konttori’s weekly routine is to review new designs of Varjo headsets. He does so by viewing the design in his VR-1 headset from home, using the…
Found in Robotics News & Content, with a score of 46.37
September 14, 2020
A year ago, NVIDIA paid $6.9 billion to buy Mellanox, an interconnect solutions provider. This week, the company announced it's ready to pay roughly six times that amount—$40 billion—to buy the UK-based Arm, known for its energy-efficient microprocessor technology. Both acquisitions point to the GPU maker's ambitious plans and aggressive moves to dominate the emerging AI (artificial intelligence) market. NVIDIA to purchase UK-based Arm for $40 billion. Image courtesy of NVIDIA. An AI School Run by NVIDIA UK-based Arm is owned by the Japanese telecommunication giant SoftBank. SoftBank paid $32 billion to purchase it in 2016. In June, news emerged…
Found in Robotics News & Content, with a score of 11.63
August 14, 2020
…Aurora Labs, Desktop Metal, EOS, ExOne, HP, Impossible Objects, NVIDIA, Plural, Renishaw and SLM Solutions. The Dyndrite Developer Council is a central component of the Dyndrite Developer Program, which provides tools, resources and community for original equipment manufacturers (OEMs), independent software vendors (ISVs), service providers and educators developing on the Dyndrite platform. “Photocentric is excited to be a part of the Dyndrite Developer Council. Additive manufacturing is entering a new era and we are delighted with the opportunity to collaborate using cutting edge software and innovative technologies to help expand the possibilities for scalability and the mass manufacture of 3D…
Found in Robotics News & Content, with a score of 12.07
August 11, 2020
…developers that include: 3D Systems, Aconity3D, Altair Engineering, ANSYS, AON3D, Aurora Labs, Desktop Metal, EOS, ExOne, HP, Impossible Objects, NVIDIA, Plural, Renishaw and SLM Solutions. 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 45.85
July 16, 2020
…MATLAB” course is now available, developed in collaboration with NVIDIA’s Deep Learning Institute. The two-day course is being offered in instructor-led online and self-paced on-demand formats throughout the rest of 2020. On completion, engineers, scientists and researchers will be ready to apply GPU-accelerated deep learning techniques in MATLAB to common applications such as image classification, autonomous systems, voice recognition, and object detection. For dates and locations, visit the Deep Learning with MATLAB course schedule. MathWorks provides a comprehensive platform for building AI-driven systems that is based on decades of supporting complex engineering projects. GPU Coder generates optimized CUDA code from…
Found in Robotics News & Content, with a score of 49.30
June 29, 2020
Recording: July 23, 2021 at 2:00 EST
…GPU technology in a way that will benefit you more than ever before. At 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 workflows and drive product development productivity. To register, click here. Sponsored by: Speakers: Tim Lawrence Founder BOXX Technologies Mike Geyer Industry Marketing NVIDIA Moderator: Kenneth Wong…
Found in Robotics News & Content, with a score of 35.85
June 23, 2020
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 them with upgradable automated driving functions to deliver software-defined vehicles, expected to hit the market in 2024,” according to the press release. “NVIDIA is all about solving problems ordinary computers can't solve,” said Huang. “And autonomous vehicles is one of…
Found in Robotics News & Content, with a score of 42.33
May 26, 2020
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 as the university works to infuse AI across its curriculum. The systems will be used to explore and validate how new technology can meet the University of Florida's advanced research and education projects in artificial intelligence and deep learning—including on…
