Transforming the Public Sector

                          Agencies across government are implementing artificial intelligence and deep learning to solve their most complex problems. By 2020, it's estimated that more than 80% of applications will have an AI component, making the government’s adoption of AI one of the largest technology transformations ever undertaken.


                          Process All Your Data

                          For the first time in history, it's possible to process 100% of your data using GPUs, NVIDIA? CUDA? and accelerated computing.

                          Modernize Infrastructure

                          NVIDIA GPU-powered solutions are available everywhere, letting you build an enterprise solution that best meets the unique needs of your agency. 

                          Faster Innovation

                          GPU-accelerated computing speed results in humanitarian assistance, cybersecurity, platform sustainment, autonomous systems, robotics, healthcare and more.


                          Humanitarian Disaster Relief

                          Humanitarian Assistance and Disaster Relief

                          Mission-based AI can create the technology necessary to deploy robust operational AI solutions in scenarios where the right information at the right time can save lives.

                          Last year, the U.S. Government spent $306 billion responding to global disasters. This investment included hurricanes, wildfires, weather prediction models, evacuation route predictions, drones for search and rescue missions and analysis of locations requiring aid within areas governed by both domestic and foreign national governments.

                          "The US government spent $306B in response to natural disasters in 2017."

                          - University of Pennsylvania Wharton School of Business

                          Cyber Security

                          Cyber Security

                          AI is the key to future network security.  NVIDIA GPUs, CUDA, and RAPIDS are some of the critical building blocks being used to secure the future enterprise for anomaly detection, malware detection, credential misuse and more.

                          “For the first time, we will be able to combat future zero-day cyber attacks by analyzing sensor data in-motion with AI at network speeds.”

                          - Josh Sullivan, SR. Vice President Booz Allen Hamilton

                          Platform Sustainment

                          Replace aging systems with new ones that incorporate advanced technologies, improved maintainability, and lower operating costs.

                          Applying predictive analytics and modern AI techniques to maintain complex platforms can have a profound impact on availability, safety, and cost savings for the DoD. GPUs running AI and deep learning can perform predictive maintenance—matching bills of materials to millions of parts, setting maintenance schedules, performing automated visual inspections, and predicting failure well in advance.  

                          Platform Sustainment

                          Lockheed is already investing in and addressing this solution.

                          “The challenge confronting DoD is the need to lay out a long-term investment strategy that replaces aging systems with new ones that incorporate advanced technologies, improved maintainability, and lower operating costs.” 

                          - Robie Samanta Roy, VP of Technology & Innovation, Lockheed Martin


                          Lockheed Martin logo
                          Booz Allen Hamilton
                          Radiant Solutios logo
                          Raytheon logo
                          Alion Sciences
                          Carahsoft logo
                          Carnegie Mellon University logo
                          John Hopkins Applied Physics Laboratory logo

                          Learn more about the latest innovations in the public sector