AI FOR ENTERPRISE

Enterprise technology has evolved with each wave of the Industrial Revolution.

1st Steam Power 3rd

Computing2nd

Mass Production

19th Century

17th Century

21st Century

4th Artificial Intelligence

20th Century

GPU Deep Learning is the foundation for the fourth industrial revolution driven by AI.

GPU deep learning is a new computing model that spans training, inference, and the billions of intelligent devices that will take advantage of deep learning to perform intelligent tasks.

GPU Deep Learning in the cloud will accelerate enterprise AI. Powerful partnerships are already in place.

“We’ve worked with Microsoft to create a lightning-fast AI platform that is available from on-premises with our DGX-1 supercomputer to the Microsoft Azure cloud.”

- Jen-Hsun HuangCEO at NVIDIA

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“By working closely with NVIDIA and harnessing the power of GPU-accelerated systems, we’ve made Cognitive Toolkit and Microsoft Azure the fastest, most versatile AI platform.”- Harry ShumExecutive VP of AI and Research at Microsoft

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“With Microsoft’s global reach, every company around the world can now tap the power of AI to transform their business.”

- Jen-Hsun HuangCEO at NVIDIA

PRESS RELEASE

IBM CEO Ginne Rometty saw a two trillion dollar opportunity in machine learning for enterprise.This ignited their recent drive in advancing cloud computing …

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This joint solution, runs on an IBM server built specifically for AI and utilizes NVIDIA NVLink to optimize AI into the enterprise.

… And developed PowerAI with NVIDIA’s GPUDL toolkit that accelerates machine learning training and AI tasks.

“PowerAI democratizes Deep Learning and other advanced analytics technologies by giving enterprise data scientists and research scientists alike an easy to deploy platform to rapidly advance their journey on AI.”-Ken KingGeneral Manager for OpenPOWER

TechRepublic

“Putting NVIDIA’s technology into the IBM system will speed up performance for such emerging workloads as AI, deep learning, and data analytics.”

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-Karl FreundMoor Insights & Strategy

“With these two partnerships in place, NVIDIA has aligned itself with two of the largest suppliers of enterprise IT technology and services to accelerate the adoption of AI in the enterprise and help take AI into the mainstream of global businesses.”

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GOOGLEOn Google Cloud, GPU Deep Learning is available for Google Compute Engine and Google Cloud Machine Learning users to create new AI services and applications.

Tesla P100 delivers a 12x increase in neural network training performance compared with a previous generation offering.

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Amazon has boosted their cloud-computing performance with new GPU-Accelerated AWS instances that are designed for large-scale machine learning, deep learning, molecular modeling, and computational finance workloads.

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“These (P2) instances were designed to chew through tough large-scale machine learning, deep learning, computational fluid dynamics, seismic analysis, molecular modeling, genomics, and computational finance workloads.” -Jeff BarrChief Evangelist at AWS

ZDNet

SAPEnterprise software giant SAP is now using DGX-1 supercomputers to build machine learning solutions for SAP’s 320,000 customers in 190 countries. The system is designed to help data scientists innovate get to market faster with AI applications.

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SAP“SAP and ourselves are working together to bring hundreds of customers of SAP the benefit of AI computing. Now with the partnership of SAP, we will soon have applications running on these [DGX-1] servers to serve the world’s largest enterprises.”-Jen-Hsun HuangCEO at NVIDIA

ITPro UK

““We expect in the real-time space, robotics and computer vision becoming a reality, predictive analytics in the big-data space, even software writing software. The goal is always knowledge, and the partnership with SAP is going to be key for us to make this a reality.”

-Guy GueritzGlobal Account Manager of SAP, NVIDIA

SAP NEWS

These partnerships with the world’s largest companies allow NVIDIA GPU Deep

Learning platform to be available for every company.

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This movement has quickly accelerated AI into one of today’s biggest enterprise technologies.

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