Looking to get started in AI? To realize its full potential, it’s essential to know where and how to implement deep learning in workflows, as well as have access to the latest techniques, software, and hardware that can speed up training and deployment. CGit and NVIDIA can help. Whether you’re building code, experimenting with projects, or rolling out deployments across your organization, we have the resources you need to get started in AI.
Implementing AI across an organization can appear daunting, but it doesn’t have to be. We’ve compiled the top steps and resources needed to have a successful AI implementation. Follow these five steps and get started on your AI journey today.
In 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
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