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CHANGE IN THE PUBLIC SECTOR

Agencies across government are adopting artificial intelligence and Deep Learning to solve the most complex problems. It is estimated that by 2020, more than 80% of applications will have an AI component, making government adoption of AI one of the biggest technology shifts ever.

PROCESSING OF ALL DATA

Zum ersten Mal in der Geschichte ist es möglich, 100 % der Daten mithilfe von Grafikprozessoren, NVIDIA® CUDA® und beschleunigtem Computing zu verarbeiten.

MODERNIZATION OF THE INFRASTRUCTURE

Lösungen mit NVIDIA-Grafikprozessoren sind überall verfügbar, sodass Sie eine Unternehmenslösung entwickeln können, die den individuellen Anforderungen Ihrer Behörde am ehesten entspricht.

FASTER INNOVATIONS

GPU-accelerated compute speed for humanitarian aid, cybersecurity, platform support, autonomous systems, robotics, healthcare and more..

DRIVING INNOVATION IN THE PUBLIC SECTOR

HUMANITARIAN AID AND DISASTER RELIEF

Mission-centric AI can develop the technology needed to deliver reliable operational AI solutions in scenarios where the right information at the right time can save lives.

Last year, the U.S. government allocated $306 billion to global disaster response. These funds were used for hurricanes and wildfires, as well as weather prediction models, rescue route forecasts, drones for search and rescue missions, and analysis of locations that needed national or international support.
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„Die US-Regierung hat 2017 306 Milliarden Dollar als Reaktion auf Naturkatastrophen ausgegeben.“
– University of Pennsylvania Wharton School of Business

CYBERSECURITY

AI is key to future network security.NVIDIA GPUs, CUDA and RAPIDS are some of the key foundational elements used to secure the enterprise of the future in anomaly detection, malware detection, credential usage and more.
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„For the first time, we will be able to combat future zero-day cyberattacks,
by analyzing sensor data in real time with AI at network speeds.“
– Josh Sullivan, SR. Vice President Booz Allen Hamilton

PLATFORM SUPPORT

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

Applying predictive analytics and advanced AI methods to manage complex platforms can have a significant impact on availability, security, and cost savings for the DoD. GPUs running AI and Deep Learning can perform predictive maintenance by comparing bill of materials against millions of parts, determining maintenance schedules, performing automated visual inspections, and predicting failures well in advance.

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Lockheed is already investing in and applying this solution.
„The challenge facing the Department of Defense is the need to devise a long-term investment strategy that replaces aging systems with new ones that incorporate advanced technologies, improved maintainability, and lower operating costs.“​​​​​​​
– Josh Sullivan, SR. Vice President Booz Allen Hamilton