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Accelerated Analytics with Kinetica and NVIDIA GPU Cloud

In this era of extreme data, companies need to address massive sets of complex data at unparalleled speed, with streaming data analysis, visual foresight and streamlined machine learning. With the Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud, enterprises now have a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization with the power of GPU computing across cloud, on-premises or hybrid deployment models.

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Accelerated Analytics with Kinetica and NVIDIA GPU Cloud

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  1. Accelerated Analytics with Kinetica and NVIDIA GPU Cloud

  2. 1 EXTREME DATA ECONOMY Increasing volume and variety have made data progressively more unpredictable. Over time, unpredictable data becomes more complex to analyze. This new frontier is defined as the Extreme Data Economy.

  3. 2 INSIGHT ENGINE FOR THE EXTREME DATA ECONOMY The Kinetica insight engine available in a ready-to-run software container from NVIDIA GPU Cloud gives enterprises a “push button” method to quickly operationalize extreme analytics, machine learning and data visualization.

  4. 3 SEE KINETICA INSIGHT ENGINE IN ACTION FROM NVIDIA GPU CLOUD

  5. 4 CHALLENGES WITH COMPLEX SOFTWARE Current DIY GPU-accelerated AI and HPC deployments are complex and time consuming to build, test and maintain Development of software frameworks by the community is moving very fast Requires high level of expertise to manage driver, library, framework dependencies NVIDIA GPU Cloud solves these challenges

  6. 5 NVIDIA GPU CLOUD (NGC) Simple Access to GPU-Accelerated Software Discover 35 GPU-Accelerated Containers Deep learning, HPC applications, HPC visualization, and partner applications Innovate in Minutes, Not Weeks Get up and running quickly and reduce complexity Access from Anywhere Containers run on supported cloud providers, NVIDIA DGX Systems, and PCs with NVIDIA Volta or Pascal™ architecture GPUs www.nvidia.com/ngc

  7. 6 WHY CONTAINERS? Benefits of Containers: Simplify deployment of GPU-accelerated software, eliminating time-consuming software integration work Isolate individual deep learning frameworks and applications Share, collaborate, and test applications across different environments

  8. 7 SIGN UP FOR NVIDIA GPU CLOUD ngc.nvidia.com

  9. ADDITIONAL RESOURCES Learn More About NVIDIA GPU Cloud Learn More About Kinetica Webinar | Accelerated Analytics with Kinetica and NVIDIA GPU Cloud NVIDIA Blog | Kinetica, NVIDIA for Fast Analysis of Large Geospatial Datasets Sign Up for NVIDIA GPU Cloud

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