How to get
started in AI


Quick start in AI

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.


Key steps to execute
an AI strategy

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.


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About CGit
CGit have made AI possible for organizations since 2017. CGit offers state of the art datacenter-solutions for all needs and sizes. Whether you are a large global company that want to scale up, or accelerate, your current AI development – or a small start-up that want to get started with POCs: We have what you need. From Datacenter to Edge from our inhouse-developed ML-Ops tools to world-class Data scientists and project management, we have it all! Contact us today to get started.


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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