Found in Companies
NVIDIA is the pioneer of GPU-accelerated computing. The company said its invention of the graphics processing unit (GPU) in 1999 redefined computer graphics and gaming, ignited the era of modern AI, and fueled the creation of the industrial metaverse. The GPU now acts as the “brains” of robots, autonomous machines, and self-driving vehicles that can perceive and understand the world…
Found in Companies
…of experience in manufacturing and enterprise support, PNY delivers high-performance NVIDIA® GPU solutions ranging from AI and HPC enterprise data centers to graphics and AI workstations. Established in 1985, PNY Technologies®, Inc. celebrates over 30 years of business excellence as a leading supplier of NVIDIA® Graphics Cards, and a noted manufacturer of Solid State Drives, Flash Memory Cards, USB Flash…
Found in News and Content
…a powerful graphics processing unit (GPU)—but also using simulation and analysis software upfront in the design process. There are new use cases for GPUs in product design, including running artificial intelligence (AI) routines for design exploration and creating machine learning algorithms that will become part of a product. The shift can be summarized as going from throwing graphics on the…
Found in News and Content
…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…
Found in News and Content
…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…
Found in News and Content
…configurable with MXM form factor GPUs from NVIDIA and AMD. The system is designed for equipment manufacturers, system integrators, computer vision solution providers and end customers who need computing and graphics processing for machine vision, security, autonomous vehicles, medical imaging or edge AI applications. The global market for machine vision is expected to reach $31.1 billion by 2024, with a…
Found in News and Content
…Power: NVIDIA L40S Data Center GPU by PNY The NVIDIA L40S Data Center GPU, provided by PNY, represents a significant leap forward in the realm of high-performance computing. This GPU is engineered to meet the demanding needs of modern data centers, offering exceptional capabilities for artificial intelligence (AI) workloads such as LLM inference and fine tuning, as well as, visual…
Found in News and Content
…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 and high-performance computing has been…
Found in News and Content
…and engineering is merging with 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,…
Found in News and Content
…power of graphics processing units (GPUs), which gained additional processing power at a much higher rate than CPUs. The uneven rise in processing power keeps changing processes and workflows, from initial design to final manufacturing. Not only can mainstream CAD applications such as AutoCAD and SolidWorks take advantage of real-time rendering, but new uses for CAD and simulation data are…
Found in News and Content
…AI processors on GeForce RTX GPUs called Tensor Cores, NVIDIA DLSS boosts frame rates while generating crisp game images and gives gamers the performance headroom to maximize ray-tracing settings and increase output resolutions. DLSS is available in more than 25 games, with more added every month. Advanced GeForce Experience features All NVIDIA GeForce GPUs benefit from GeForce Experience, a tool…
Found in News and Content
…integration of Neousys’ rugged, wide-temperature GPU computing systems and Photoneo’s high-resolution 3D cameras introduces a platform that can meet the demands of complex industrial environments. “Photoneo’s world-leading high-resolution and high-accuracy 3D cameras unlock the full potential of fast machine learning by reducing training and deployment times,” said Robert Chang, sales manager at Neousys. “We are delighted that Neousys industrial GPU…
Found in News and Content
…muscle of graphics processing units (GPUs). They make it possible to efficiently incorporate topology optimization and generative design, as well as simulation of part placement and layer-by-layer printing into a DfAM workflow. Additive Manufacturing with GPUs One new company looking to speed product development with graphics processing units (GPUs) is Dyndrite, a Seattle startup that says its “hybrid” technology kernel…
Found in News and Content
…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…
Found in News and Content
…task does - recording, transformation, GPU transfer, output - and eSDK Pro handles scheduling, memory management and synchronization. The company said that this eliminates the bulk of programming performed within traditional vision SDKs. “eSDK Pro Vision brings together everything we’ve learned from more than a decade of high-speed imaging innovation,” said John Ilett, president and founder of Emergent Vision Technologies.…
GENISOM AI makes ICRA debut at conference in Vienna
World's first omni-modal evaluation including tactile sensing for…
Ultrasonic sensing enhances robotics perception
Cybernetix Ventures’ event kicks off Robotics Tech Week 2026 slate of events
