NVIDIA’s GPU Technology Conference in Washington, D.C., the premier artificial intelligence (AI) event on the east coast, is less than two weeks away. As a proud sponsor of GTC DC, PNY is excited to demonstrate how NVIDIA-powered RTX servers featuring multiple Quadro RTX 8000 or RTX 6000 graphics boards, and solutions built with NVIDIA embedded Quadro GPUs, are answering tomorrow’s visual computing, AI, and big data analytics questions today with unprecedented functionality and performance.
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Excitement and anticipation were everywhere at the NVIDIA GPU Technology Conference (GTC) 2019. GTC’s speaker roster reads like a who’s who in AI and deep learning. The expectation was high for NVIDIA CEO Jensen Huang to announce new industry-disruptive technologies during his keynote address. Last year it was the launch of NVIDIA RTX real-time ray tracing technology. This year Jensen took it a step further with the introduction of NVIDIA- RTX-powered Data Science Workstations and expanded NVIDIA RTX Server offerings.
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According Jensen Huang, founder of NVIDIA, "If GPUs are time machines, then GTC is where you come see the future." This is certainly true for GTC DC 2018. Attendees will see the latest breakthroughs in self-driving cars, accelerated data science, healthcare, big data, high-performance computing, virtual reality, and more. PNY is proud to be part of the excitement, showcasing the latest Quadro RTX products and demonstrating how they can accelerate design and simulation/training workflows.
Held at the Ronald Reagan Building and International Trade Center, Washington DC from October 22 – 24, NVIDIA’s GPU Technology Conference (GTC DC) is the premier AI and deep learning conference series which provides attendees with training, insights, and direct access to experts from NVIDIA and other leading organizations. The Conference includes a mixture of keynotes, panel discussions, sessions and deep learning training. It covers topics including Artificial Intelligence and Deep Learning, High Performance Computing, Autonomous Machines and Virtual Reality, and how technologies like these can immediately impact industries like Healthcare, Security, IoT and Open Science.
Written by BOB PETTE, Vice President of NVIDIA’s Professional Visualization Product Group.
Quadro GV100 with Volta architecture brings unprecedented capabilities in deep learning and simulation to designers, engineers and scientists.
As demand for deep learning continues to gain momentum, it’s already changing the way people work. Driving the next wave of advancement in deep learning-infused workflows is the NVIDIA Volta GPU architecture.
In his keynote address at the GPU Technology Conference 2018 in San Jose, NVIDIA founder and CEO Jensen Huang unveiled the new Volta-based Quadro GV100, and described how it transforms the workstation with real-time ray tracing and deep learning.
The Quadro GV100 addresses the growing demands of the world’s largest businesses — in such fields as automotive, architecture, engineering, entertainment and healthcare — to rapidly deploy deep learning-based research and development, accelerate deep learning-enhanced applications, enable photoreal VR and provide secure, anytime, anywhere access.
Bringing unprecedented capabilities in deep learning, rendering and simulation to designers, engineers and scientists, the new products allow professionals to design better products in a completely new way. GPU-accelerated techniques, like generative design, and the ability to conduct complex simulations faster mean businesses can explore more design choices, optimize their designs for performance and cost, and consequently bring ground breaking products to market faster.
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PNY was proud to be a Gold sponsor of GTC 2018, and have the opportunity to showcase how Quadro GPUs, including the new NVIDIA Quadro GV100, powered by NVIDIA Volta, can facilitate AI, Design, Rendering, VR and Simulation projects.
Launched at the show, the formidable new AI and compute enabled NVIDIA Quadro GV100, demonstrated how it effortlessly meets the demands of AI-enhanced design and visualization workflows. Delivering 118 TFLOPS of deep learning performance, a 2x GV100 NVLink enhanced workstation showed why it is an ideal choice for AI development.
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Visit PNY at the GPU Technology Conference to experience NVIDIA Quadro VCA Systems, Quadro GP100 Multi-GPU and Embedded Solutions.
Billed as the largest and most important event of the year for GPU developers, the GPU Technology Conference (GTC) showcases the most vital work in the computing industry today – including artificial intelligence and deep learning, healthcare, virtual reality, accelerated analytics, and self-driving cars. PNY is proud to be a sponsor of GTC 2017, and will be demonstrating the new family of Quadro Pascal™-based professional GPU solutions including: the Quadro GP100, Visual Computing Appliance (VCA) featuring eight ultra-high-end Quadro P6000 GPUs and Quadro Embedded solutions.
Visit PNY at GTC 2017
PNY is proud to be a sponsor of NVIDIA GPU Technology Conference 2017. GTC showcases the most innovative work in the computing industry today—including artificial intelligence and deep learning, virtual reality, self-driving cars, and accelerated analytics. See us in Booth # 323 and use code FFXGTC17 to save up to $240 on regular rates when you register through April 5.
NVIDIA® Quadro® GP100 excels at a capability to run both compute and graphics tasks, allowing users to run demanding simulations and create complex 3D models at the same time.
GP100 is targeted for professionals who need extremely high levels of compute and visualization performance. Solutions within Manufacturing, Media & Entertainment, Medical, AEC, Scientific Visualization, HPC, and AI/deep learning segments are examples but many other use case scenarios can be realized as well.
NVIDIA Quadro GP100 Pascal GPU floating point hardware provides the FP64 (5.2 TFLOPS), FP32 (10.3 TFLOPS and FP16 (20.7 TFLOPS) performance required for demanding compute, simulation, AI and deep learning applications.