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AI For Enterprise

Gain an overview on how GPU Deep Learning in the cloud will accelerate enterprise AI and is already creating powerful partnerships.

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AI For Enterprise

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  1. AI FOR ENTERPRISE

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

  3. 21stCentury 20thCentury 19thCentury 17thCentury 1st 2nd 3rd 4th Steam Power Mass Production Computing Artificial Intelligence

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

  5. 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.

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

  7. “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 Jen- -Hsun Huang Hsun Huang CEO at NVIDIA CEO at NVIDIA PRESS RELEASE PRESS RELEASE

  8. “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 Shum Harry Shum Executive VP of AI and Executive VP of AI and Research at Microsoft Research at Microsoft PRESS RELEASE PRESS RELEASE

  9. “With Microsoft’s global reach, every company around the world can now tap the power of AI to transform their business.” - Jen-Hsun Huang CEO at NVIDIA PRESS RELEASE PRESS RELEASE

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

  11. … And developed PowerAI with NVIDIA’s GPUDL toolkit that accelerates machine learning training and AI tasks. This joint solution, runs on an IBM server built specifically for AI and utilizes NVIDIA NVLink to optimize AI into the enterprise.

  12. “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 King Ken King General Manager for General Manager for OpenPOWER OpenPOWER TechRepublic TechRepublic

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

  14. “With these two partnerships in place, NVIDIA has aligned itself “With these two partnerships in place, NVIDIA has aligned itself with two of the largest suppliers of enterprise IT technology and with two of the largest suppliers of enterprise IT technology and services to accelerate the adoption of AI in the enterprise and help services to accelerate the adoption of AI in the enterprise and help take AI into the mainstream of global businesses.” take AI into the mainstream of global businesses.” - -Karl Freund Karl Freund Moor Insights & Strategy Moor Insights & Strategy READ NOW

  15. On Google Cloud, GPU Deep Learning is available for Google Compute Engine and On Google Cloud, GPU Deep Learning is available for Google Compute Engine and GOOGLE Google Cloud Machine Learning users to create new AI services and applications. Google Cloud Machine Learning users to create new AI services and applications. READ MORE Tesla P100 delivers a 12x increase in neural network training performance compared with a previous generation offering.

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

  17. “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 Barr Chief Evangelist at AWS ZDNet ZDNet

  18. SAP Enterprise 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. READ MORE

  19. “SAP and ourselves are working together to bring hundreds of SAP 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 Jen- -Hsun CEO at NVIDIA CEO at NVIDIA Hsun Huang Huang ITPro UK

  20. ““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 Guy Gueritz Gueritz Global Account Manager of SAP, NVIDIA Global Account Manager of SAP, NVIDIA SAP NEWS SAP NEWS

  21. These partnerships with the world’s largest companies allow NVIDIA GPU Deep Learning platform to be available for every company. EXPLORE HERE EXPLORE HERE

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

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