San Francisco Bay Area
My team is bringing a New Computing Platform for a New Software Model to the US Government. Computer programs contain commands that are largely executed sequentially. Deep learning is a fundamentally new software model where billions of software-neurons and trillions of connections are trained, in parallel. Running DNN algorithms and learning from examples, the computer is essentially writing its own software. This radically different software model needs a new computer platform to run efficiently. Accelerated computing is an ideal approach and the GPU is the ideal processor. Performance. NVIDIA GPUs are naturally great at parallel workloads and speed up DNNs by 10-20x, reducing each of the many training iterations from weeks to days. We didn’t stop there. By collaborating with AI developers, we continued to improve our GPU designs, system architecture, compilers, and algorithms, and sped up training deep neural networks by 50x in just three years — a much faster pace than Moore’s Law. We expect another 10x boost in the next few years. Programmability. AI innovation is on a breakneck pace. Ease of programming and developer productivity are paramount. The programmability and richness of NVIDIA’s CUDA platform allow the US Governement, Developers and researchers to innovate quickly — building new configurations of CNNs, DNNs, deep inception networks, RNNs, LSTMs, and reinforcement learning networks. Accessibility. Developers want to create anywhere and deploy everywhere. NVIDIA GPUs are available all over the world, from every PC OEM; in desktops, notebooks, servers, or supercomputers; and in the cloud from Amazon, IBM, and Microsoft. All major AI development frameworks are NVIDIA GPU accelerated — from internet companies, to research, to startups. No matter the AI development system preferred, it will be faster with GPU acceleration.
Responsible for building and leading the Federal business for NVIDIA. In this capacity, our team will help bring accelerated computing and Artificial Intelligence to the US Governments to solve tomorrow problems today.
Responsible for building and growing NIVIDA's Federal and Higher Education business in North America.
I am responsible for building and developing the North America Federal Business.
Volunteer role serving the Federal Ecosystem. AFCEA provides a forum for military, government and industry communities to collaborate so that technology and strategy align with the needs of those who serve. AFCEA is a member-based, non-profit international organization that has helped members advance information technology, communications and electronics capabilities since 1946. The association has 28,851individual members, 138chapters and 1,693corporate members.
Volunteer to make youth sports a better place for girls to learn how to compete, be part of a team and grow self confidence.
Responsible for various Federal teams working closely with the US Govt.