Copyright DigitalTrack 2022
Accessing Hidden Data Requires More than Just Algorithms
Data is exploding at an exponential rate and data sources are becoming increasingly complex and varied. Whether you're new to the subject, or you already have a solid understanding of the available technology and are ready to take the next step, we can help you better understand, manage and leverage Big Data effectively.
Many traditional, processor-driven HPC systems do not have the power to effectively run AI applications and deep learning frameworks. Graphics processing unit (GPU)-based acceleration dramatically boosts the compute power of a standard system, allowing you to complete complex, compute intensive tasks quickly and efficiently.
However, GPUs aren’t the solution for all use cases and organizations and there is no single, turn-key way to configure your AI environment. That’s why it’s critical to have a partner with enough AI experience and expertise in big data storage, networking, and advanced computing to help you achieve your goals.
NVIDIA is the world’s leader in modern computer graphics and parallel computing. Recently, however, NVIDIA has solidified their brand as more than just a GPU leader through their contributions to modern AI - the next era of computing. Now, NVIDIA’s technology can be found in many enterprise applications such as data centres, robotics, biotech, and even self-driving cars. Find out more about our NVIDIA for Enterprise offerings below.
AI doesn’t stand still. It’s a living, changing entity that powers change throughout every industry across the globe. As it evolves, so do we all. From the visionaries, healers, and navigators to the creators, protectors, and teachers. It’s what drives us today. And what comes next.
Billion Market by 2025
Zetta Bytesof Data per Year
Billion IoT devices by 2021
Building a platform for deep learning goes well beyond selecting a server and GPUs. A commitment to implementing AI in your business involves carefully selecting and integrating complex software with hardware. NVIDIA DGX fast-tracks your initiative with a solution that works right out of the box, so you can gain insights in hours instead of weeks or months.
NVIDIA DGX Station™ is the world’s fastest workstation for leading-edge AI development for data science teams. This fully integrated and optimized system enables your team to get started faster and effortlessly experiment with the power of a data centre in your office.
With the fastest I/O architecture, NVIDIA DGX A100 is the universal system for all AI infrastructure, from analytics to training to inference. It sets a new bar for compute density, packing 5 petaFLOPS of AI performance with a single, unified system that can do it all.
The race to stay ahead of the AI wave is on. We’ve distilled the knowledge from field-proven AI
deployments around the globe and our experience building NVIDIA DGX SATURNV into replicable,
validated designs that every enterprise can benefit from.
NVIDIA GPU Cloud (NGC) is a GPU-accelerated platform that runs everywhere. Data scientists and researchers can now rapidly build, train, and deploy neural network models to address some of the most complicated AI challenges.
From stunning industrial design to advances special effects to complex scientific visualization, Quadro is the world’s preeminent visual computing platform. Trusted by millions of creative and technical professionals to accelerate their workflows.
NVIDIA® Jetson™ systems provide the performance and power efficiency to run autonomous machines software, faster and with less power. Each is a complete System-on-Module (SOM), with CPU, GPU, PMIC, DRAM, and flash storage—saving development time and money.
“I believe that the future is about having a whole bunch of A.I., not one A.I. We're all going to have our own personal A.I. We'll have A.I. for many fields of medicine, for many fields of manufacturing.”
Through a convergence of technology leaps, social transformations, and genuine economic needs, AI is moving from its academic roots to the forefront of business and industry. This report examines how companies in three economic sectors are tackling new challenges and opportunities by incorporating AI into their products and operations.