Adobe embraced NVIDIA® Quadro® GPU acceleration with their Mercury Playback Engine in 2010. Essentially, Adobe redesigned their entire video rendering and playback engine to harness the NVIDIA CUDA parallel processing architecture. The result was a fluid, real-time editing experience for adding additional effects, multiple layers, or ultra-high-resolution content. Now, ten years later, Adobe continues to enhance GPU accelerated features across Adobe Creative Cloud and other essential Adobe applications, and they are committed to bringing RTX™ technology and AI to their vast and vibrant user community, all while leveraging NVIDIA RTX technology.
Virtual production is a rapidly growing trend in filmmaking and visual effects. It enables directors to eliminate the need for practical effects or locations with synthetic alternatives, while still delivering the life-like production values demanded by increasingly demanding viewers. The realism virtual production cinematography provides is truly stunning. However, requirements like extremely complex lighting, incredibly detailed geometries, and lifelike textures demand more than consumer graphics boards can provide. Virtual production cinematography requires powerful professional-grade graphics boards such as the NVIDIA Quadro RTX 8000, which is specifically designed to produce the most realistic scenes with stunning cinematic quality across the most demanding use cases found in the media and entertainment industry today.
Topics: PNY, NVIDIA, SSD, NVIDIA Quadro, Quadro Sync II, CAE, NVIDIA GPU, CUDA cores, Media, NVIDIA Quadro GPUs, Visual Effects, GPU Memory, PNYPRO, Media + Entertainment, RT Cores, Tensor Cores, Quadro RTX, nvidia quadro rtx, NVIDIA Quadro RTX 8000, Virtual Production, Filmmaker, GPU acceleration, unreal engine, cinematography, Filmmaking, cinematic, NVIDIA Quadro RTX Powered Workstation, LED walls
Modern GPUs have the ability to connect multiple displays to a single graphics card. Multi-screen environments increase the impact of visual imaging across commercial environments, and enhance enthusiast home gaming environments.
Technologies such as NVIDIA Surround and AMD Eyefinity offer the ability to bind multiple displays together in software to create a massive virtual display. However, Surround and Eyefinity are both consumer-level technologies, which come with a multitude of limitations and compromises, such as support for only 3 to 6 monitors, which are not suitable for creative professional, interactive digital signage, live events, security, or industrial applications.
Topics: NVIDIA, NVIDIA Quadro, Immersive Displays, Pro Tip, Quadro RTX, NVIDIA Turing Architecture, Artificial Intelligence, Multi-display, NVIDIA Mosaic, GPU acceleration, Quadro RTX GPUs, Education, NVIDIA Quadro Solutions
For creators, designers and engineers working with the most demanding multi-application workflows, Quadro RTX provides ground-breaking performance, professional features, enterprise level support and workstation-class reliability. NVIDIA’s commitment to Quadro customers is never over. Quadro drivers are released throughout the year to supercharge your most used and demanding applications. These new drivers bring you maximum performance and stability – thanks to extensive driver optimization software engineering and rigorous ISV application testing.
Topics: Solidworks, Adobe CC, NVIDIA OptiX, nvidia quadro rtx, Driver, GPU acceleration, RTX Support, Chaos V-Ray, Blender, Multi-application Workflows, Quadro Drivers, Foundry Modo, Quadro RTX GPUs, PTC Creo, Dassault Systems, Autodesk VRED
Opening in Denver on November 17, Supercomputing 2019 lets you interact with the world’s leading experts in HPC and learn how the latest cutting-edge technology provides computational solutions for the world’s greatest challenges ranging from precision medicine and agricultural technologies to autonomous vehicles in smart cities and renewable energy. At SC19, PNY invites you to visit our Partner’s booths, meet with product experts, and see how NVIDIA® Quadro® RTX™ GPU powered solutions, including RTX Servers and NVIDIA Powered Data Science Workstations, are accelerating deep learning, machine learning, machine vision, and big data analytics.