NVIDIA’s AI platform, for both deep learning training and inference, is transforming the way computers perform perceptual tasks such as computer vision, pattern detection, speech recognition, and behavior prediction. These improvements make it possible to take labor-intensive jobs and automate them for applications like disaster response and humanitarian relief. 

With NVIDIA DeepStream, Transfer Learning Toolkit, and CUDA-X™ acceleration libraries, federal and civilian agencies are able to change the way we approach weather prediction models, evacuation route predictions, rescue mission.

Platform sustainment is one of the greatest challenges the U.S. government faces today, managing and maintaining hundreds of thousands of aging aircraft, vehicles, and ships critical to the safety of our nation and allies. Legacy approaches dominate the market, with platforms continuing to experience a high rate of downtime and prohibitive maintenance costs. 

Predictive maintenance is a modern approach driven by predictive analytics and AI that’s been shown to increase availability and reduce costs significantly. NVIDIA EGX™, the edge AI platform for AI and high-performance data analytics, powers all aspects of predictive maintenance—from supply chain optimization, to automated visual inspections, to early failure prediction.

Defending and securing computer systems requires customizable AI that operates at real-time speeds on extremely large networks. NVIDIA GPUs and the NVIDIA RAPIDS™ suite of open-source software libraries are critical building blocks for creating the future of accelerated log ingestion, anomaly detection, threat hunting, and other essential information security workflows. When security teams and cybersecurity data scientists can leverage these tools and technologies, they can extend the security environment beyond traditional security information and event management (SIEM) and accelerate compute capabilities that can adapt to any network.

AI is being used across branches of the U.S government to deliver autonomously operated platforms in the air, on land, and at sea. GPU-powered autonomous machines and robots use AI to solve some of the world’s toughest problems, and they’ve demonstrated their potential to save both lives and costs by enabling efficient and safe operations. With the NVIDIAⓇ Jetson™ platform , it’s possible to develop and deploy AI-powered robots, drones, intelligent video analytics (IVA) applications, and other autonomous machines.

AI delivers powerful new ways to detect public health threats, create more sustainable cities, and improve efficiency in public operations, but this starts with investments in leadership-class AI infrastructure. Accelerated computing is now recognized as the foundation for national, ministry, and city AI programs. In countries with over a billion citizens to small island nations, NVIDIA is democratizing access to the specialized infrastructure that makes AI possible at scale.

AI is a field of collaboration, so unlocking  the value of AI infrastructure requires an ecosystem of networks, partners, and capabilities, as well as collaboration and co-innovation. NVIDIA offers access to multiple partner ecosystems and market programs to help governments advance their national AI policy goals and get the most value from their AI infrastructure investments.

AI is powered by humans. It takes people with special skills to build and train AI models that will solve the world’s most complex problems. Nations need to upskill their domestic workforce and create the conditions for researchers and entrepreneurs to pursue their life’s work at home. To achieve this, NVIDIA has developed an array of world-class capacity building programs from AI skills training to hackathons and bootcamps.

AI is the most powerful technology force of our time, not just for business and private sector innovation, but also for accelerating the development of life-saving medicine, combating climate change, protecting front-line health workers, and monitoring endangered species. NVIDIA is working at the forefront of AI, science, and technology to help address some of humanity’s most pressing challenges.