At SIGGRAPH 2023, NVIDIA announced new workstation and data center GPUs designed to provide exceptional AI, compute, graphics, and real-time rendering performance for demanding, professional workflows. Powered by the ultra-efficient NVIDIA Ada Lovelace architecture, these GPUs are ideal for ray tracing, physics simulation, neural graphics, and generative AI, giving professionals the tools to create and unlock their full potential. This virtual event is an excellent opportunity to stay updated on the latest advancements in GPU technology.
Topics: NVIDIA, AI, PNY PRO, SIGGRAPH, RT Cores, Tensor Cores, Data Science Workstation, NVIDIA CUDA, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA Virtual GPU (vGPU), NVIDIA Omniverse Enterprise, Ada Lovelace, Ada Generation, NVIDIA RTX 5000 Ada, NVIDIA RTX 4500 Ada, NVIDIA RTX 4000 Ada, Inferencing
NVIDIA expanded their family of new NVIDIA Ada Generation GPUs for workstations and data center GPU lineup at Siggraph 2023 which are designed to deliver compelling AI, compute, graphics, and real-time rendering to professionals everywhere. Powered by the ultra-efficient NVIDIA Ada Lovelace architecture, the new NVIDIA RTX 5000, NVIDIA RTX 4500, and NVIDIA RTX 4000 Ada Generation GPUs are ideal for ray tracing, physics simulation, neural graphics, and generative AI.
Expanding the Ada Lovelace architecture family of data center GPUs, which includes the NVIDIA L40 and L4, the new NVIDIA L40S GPU is the most powerful universal GPU for the data center, delivering breakthrough multi-workload acceleration for inference and training, graphics, and video applications.
Topics: NVIDIA, AI, PNY PRO, SIGGRAPH, DLSS Technology, RTX, NVIDIA RTX, NVIDIA Data Center GPUs, PNY Blogs, Ada Lovelace, NVIDIA Ada Lovelace, Ada Generation, NVIDIA RTX 5000 Ada, NVIDIA RTX 4500 Ada, NVIDIA RTX 4000 Ada, Inferencing, Generative AI
Advancements in AI, simulation, secure edge computing platforms, and IoT sensors are ushering in a new era of intelligent, autonomous machines. Organizations worldwide are embracing robotics and intelligent machines to automate tasks and achieve fully autonomous production. However, the transition to AI at the edge requires meeting stringent requirements such as functional safety, long-term support, and network security. NVIDIA IGX Orin is an industrial-grade platform that addresses these challenges, providing a holistic solution for accelerated AI application development. In this blog post, we will explore the features, value propositions, and use cases of the NVIDIA IGX Orin platform.
In collaboration with Engineering.com, we present a series of articles that showcase advancements in the engineering field. These articles cover the role of data centers, graphics in digital transformation, Ada Lovelace GPUs, and Virtual GPUs. Read below as we dive into these transformative technologies.
The Ultimate Accelerator for the Data Center
Graphics cards have become an increasingly important component of engineering workstations. They’ve evolved from specialized chips for visualization to versatile processors for everything from data science to artificial intelligence (plus they still render a mean image).
Topics: PNY, Graphics, Simulation, AI, Computer Aided Engineering, CAE Applications, IT Professionals, Manufacturing, Real-time ray tracing, Data Science Workstation, Advanced Graphics, engineering.com, GPU acceleration, Accelerated Data Science, NVIDIA RTX, NVIDIA Data Center GPUs, NVIDIA Virtual GPU (vGPU), PNY Blogs, NVIDIA RTX 6000 Ada, NVIDIA L40, Ada Lovelace, Digital Transformation, Virtual GPUs
NVIDIA’s GPU Technology Conference, best known as GTC, is one of the world’s leading AI conferences and begins on March 21. The highlight of the four-day virtual event is NVIDIA CEO Jensen Huang’s keynote session, which will be livestreamed on March 22 at 8:00 am PT and available on-demand afterwards. Jensen will take the stage in a news-filled keynote to unveil some new products and collaborations.
NVIDIA GTC is an outstanding opportunity for you to connect and share with industry thought leaders and experts around the world while learning what is driving AI’s rapid expansion across, and transformation of, almost every industry. There will be more than 900 sessions with 1400+ speakers, discussing exciting topics on AI, robotics, computer vision, healthcare, big data analytics, and much more.
Jensen Huang, CEO of NVIDIA, courtesy of NVIDIA
Topics: Graphics, AI, AEC, Manufacturing, Media + Entertainment, Government, Healthcare, Energy, ray tracing, GTC, hpc, data science, GTC Digital, Keynote Address, Jensen Huang, Higher Education, Accelerated Data Science, Networking, Finance, ISV Software, NVIDIA Omniverse Enterprise, GTC 2022
HPC Solutions for Data Centers, Workstations, and Network Infrastructure Featured
SC21, the international conference for High Performance Computing (HPC), networking, storage, and analysis, is being held from November 14–19 in St. Louis, MO. At this year's event, PNY’s partner One Stop Systems (OSS) will spotlight the latest NVIDIA Data Center and Workstation GPUs for HPC, AI, Data Science, Big Data Analytics, and real-time photorealistic ray traced graphics – since visualizing a problem is often an essential precursor to solving it.
Let’s face it: the world isn’t going to go back to the normal we all used to know. Remote work, which flared in popularity as a result of an event that needs no introduction, will stick around for the long haul. By most accounts, remote work will coexist with the old-fashioned concept of going into the office—a paradigm that’s being called hybrid work. Fortunately, there’s never been a better time for hybrid work in terms of both software and hardware.
Since its inaugural event in 2009, the NVIDIA GTC Conference has grown from a graphics oriented showcase to the must-attend AI conference for developers and a global experience that brings together thousands of innovators, researchers, thought leaders, and decision-makers who are shaping our world with the power of AI, computer graphics, data science, healthcare, and more. This November, experience it for yourself by attending the virtual NVIDIA GTC 2021 conference.
GTC runs from November 8 - 11 and will cover the latest innovations for AI, HPC, graphics, accelerated data science and big data analytics, extremely high-performance 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 wide spectrum 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, data science, GTC Digital, Keynote Address, Jensen Huang, Higher Education, Accelerated Data Science, Networking, Finance, GTC 2021, NVIDIA GTC 2021, ISV Software, NVIDIA Omniverse Enterprise
Data volumes have been increasing for years – and researchers expect they will continue to increase in the coming years.
Meanwhile, edge computing, 5G-fueled hyper-connectivity, artificial intelligence (AI), and other new technologies we’ve been hearing about for years are becoming real solution realities, not research projects.
For these and many other reasons, organizations and the technologists that support them are being forced to reimagine the data center that is still the heart of most data-reliant organizations. Modern data centers need to be ready for what’s next, ideally without downtime or unplanned costs.
Topics: PNY, NVIDIA, Deep Learning, AI, NVIDIA GPU, PNYPRO, Defense, aerospace, Virtualization, GPU acceleration, data center, 5G Networks, high performance computing, NVIDIA RTX, parallel processing, Thinkmate
The NVIDIA® A100 Tensor Core GPU for PCIe (40GB or 80GB version) delivers unprecedented acceleration at every scale to power the world’s highest performing elastic data centers for AI, data analytics, and HPC. Powered by the NVIDIA Ampere architecture, NVIDIA A100 is the engine of the NVIDIA data center platform, providing up to 20x higher performance over the prior generation, and can be uniquely partitioned into seven GPU instances to dynamically adjust to shifting demands. The NVIDIA A100 (40GB or 80GB) delivers the world’s fastest memory bandwidth at over 2 terabytes per second (TB/s) to run the largest models and datasets.
Topics: PNY, NVIDIA, Deep Learning, AI, NVIDIA GPU, PNYPRO, hpc, data center, high performance computing, Multi-Instance GPU, NVIDIA A100, NVIDIA Data Center GPUs, NVIDIA Ampere, NVIDIA A100 80GB, NVIDIA A100 40GB, Quantum Expresso