The NVIDIA® A100 Tensor Core GPU offers unprecedented acceleration at every scale and is accelerating the most important work of our time, powering the world’s highest-performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere architecture, A100 is the engine of the NVIDIA data center platform. A100 provides up to 20x higher performance over the prior generation and can be partitioned into seven GPU instances to dynamically adjust to shifting demands.
Topics: PNY, NVIDIA, Deep Learning, AI, PNY PRO, GPU rendering, NVIDIA GPU Cloud, genomics, hpc, Big Data Analytics, data center, 5G Networks, HTC VIVE Pro Eye, high performance computing, Ampere, NVIDIA RTX GPU, NVIDIA RTX, A100, NVIDIA A100, Tensor Core GPU, NVIDIA Data Center GPUs, Cloud Gaming
PNY realizes and appreciates that scientists, researchers, and engineers are solving the world’s most important data science and big data analytics challenges with AI and high-performance computing (HPC). Businesses, even entire industries, harness the power of AI to extract new insights from massive data sets, both on-premises and in the cloud. New NVIDIA® Ampere architecture-based GPUs, designed for the age of elastic computing, deliver the next giant leap by providing unmatched acceleration at every scale, enabling innovators to push the boundaries of human knowledge forward.
Topics: PNY, NVLink, AI, NVIDIA GPU, PNYPRO, RT Cores, Tensor Cores, GTC, hpc, data science, AI and Big Data Analytics, AI Denoising, Ampere, NVIDIA RTX, NVIDIA Automatic Mixed Precision, TF32, Multi-Instance GPU, A100
Given the tragically timely topic this will not be a typical blog posting. It will focus more on telling and less on selling – but will callout an exciting opportunity for medical imaging system and device manufacturers – that can benefit from NVIDIA Pro GPU acceleration.
Healthcare is transitioning to personalized medicine, reimagining clinics, embracing telemedicine, enhancing quality of care, utilizing AI and increasingly relying on breakthroughs in biomedical research to treat disease, all of which demand new computing paradigms which NVIDIA RTX (and other) professional GPUs are ideally positioned to provide.
Topics: Visualization, Simulation, AI, Healthcare, genomics, hpc, RAPIDS, AI and Big Data Analytics, COVID-19, Ampere, NVIDIA RTX A6000, NVIDIA RTX, MIT, NVIDIA Clara, Smart Hospitals, NVIDIA RTX A40, NVIDIA Professional GPUs, pandemic
The annual Interservice Industry Training, Simulation and Education Conference (IITSEC), the world’s largest modeling, simulation and training event has gone virtual. If you are attending vIITSEC 2020 scheduled for November 30 to December 4, we invite you to meet with PNY and HTC to discuss the unique HTC VIVE Pro Secure, professional-grade VR designed for classified and secure environments that require Authority to Operate. VIVE Pro Secure features top-tier graphics, premium audio, and Steam VR room-scale tracking – and this VR HMD can go where others cannot. It’s a secure setup for serious results and PNY is HTC’s exclusive VIVE Pro Secure partner across North America.
Topics: Simulation, AI, VR Ready, NVIDIA Quadro GPUs, Defense, Turing, ray tracing, aerospace, Modeling, hpc, GPU Down, NVIDIA Quadro MXM, Education, advanced shading, Ampere, NVIDIA RTX A6000, vIITSEC 2020, HTC Vive Pro Secure, NVIDIA Quadro RTX solutions, NVIDIA GeForce RTX
At NVIDIA innovation never sleeps. This fall, experience the latest breakthroughs online by attending the virtual NVIDIA GTC 2020 conference. GTC will run continuously across all time zones for five straight days (October 5 - 9) and cover the latest innovations for AI, HPC, graphics, accelerated data science, networking and more. Participants can attend live events in every time zone, providing unique opportunities to interact with brilliant minds and influential leaders from a variety of industries. They can also browse an extensive catalog of on-demand content showcasing innovative uses of GPU technology, and extensive developer assets available to in-house or ISV software developers or hardware systems integrators.
Topics: Graphics, AI, AEC, Manufacturing, Media + Entertainment, Government, Healthcare, Energy, ray tracing, GTC, hpc, GTC Digital, GTC 2020, Keynote Address, Jensen Huang, Higher Education, Accelerated Data Science, Networking, Finance
The annual Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), the world’s largest modeling, simulation and training event, opens today in Orlando, Florida. If you are attending I/ITSEC 2019, we invite you to meet with PNY’s Partners to discuss your NVIDIA Quadro GPU needs, including NVIDIA Quadro MXM Embedded, GPU Down and the latest NVIDIA Quadro RTX Solutions. NVIDIA Quadro GPUs provide the extreme graphics and compute performance demanded by mission-critical aerospace and defense applications.
Topics: VR, Simulation, NVIDIA Quadro, Deep Learning, AI, CAE, CAD, Technology, Embedded MXM, RT Cores, NVIDIA Turing Architecture, I/ITSEC, Modeling, nvidia quadro rtx, hpc, I/ITSEC 2019, GPU Down, AR, Interservice/Industry, NVIDIA Quadro MXM, Education, Scientific Visualization, Signal Processing, Mission Simulators
According to Data Science Central, a leading online resource for data practitioners, forecasts predict the big data market will approach $203 billion by 2020. Data science is powering the engine of modern enterprise – every industry from retail to financial services to healthcare is deriving insight from data to improve competitiveness and operational efficiency. Retailers are improving forecasting to reduce the cost of excess inventory. Financial services institutions are detecting fraudulent transactions. Healthcare providers are predicting the risk of disease more quickly. Even modest improvements in the accuracy of predictive machine learning models can translate into billions on the bottom line. The NVIDIA accelerated Data Science Workstation (DWS) solution with RAPIDS enables enterprises and data scientists to tap into GPU-accelerated machine learning (ML) and deep learning (DL) with faster model iteration, better prediction accuracy, and lowest data science total cost of ownership (TCO).
Topics: PNY, NVIDIA Quadro, Deep Learning, AI, PNYPRO, NVIDIA RTX Technology, Quadro RTX, nvidia quadro rtx, Data Science Workstation, NGC, hpc, graph analytics, data preparation, data science, RAPIDS, GPU-accelerated machine learning, NVIDIA CUDA, analytics, model training, CUDA-X