DEMOCRATISING AI
PLUG AND PLAY AI
TECHNOLOGY which they ’ re modelled , process information in parallel , handling multiple tasks simultaneously ,” says Jackson . “ That ’ s why GPUs can now be found accelerating deep learning-based applications from movie recommendations to cancer detection and fraud detection to self-driving cars .”
DEMOCRATISING AI
The democratisation of AI brought about by GPU-accelerated deep learning is already finding its way into deployment across industries . As this form of AI expands from research institutions and startups to implementation by large enterprise , new use cases for deep learning are emerging daily .
From intelligent assistants to smart homes to self-driving cars , it ’ s clear that this new computing model will infuse consumer technology as much as it will reinvent enterprise computing .
Jackson comments : “ Those businesses looking to grab the competitive advantage offered by AI have a narrow window of opportunity . For those who move quickly , rewards will include efficiencies in existing processes , and insights based on data and predictive analysis that enable new classes of products and services . “ We see companies like SAP seizing an early-mover advantage by implementing GPU deep learning in their data centres to solve their customers ’ most challenging problems .”
PLUG AND PLAY AI
Thanks to the rapid development of the AI industry , this technology is available in many flavours and at varying scales . For those looking to dip a toe in the water , cloud service providers like Microsoft and AWS offer GPU deep learning cycles on demand .
NVIDIA has also developed an offering aimed at companies seeking a combination of unprecedented computing power with security and support .
Last year , NVIDIA launched the DGX-1 . It ’ s essentially an AI supercomputer in a box , purpose-built for deep learning . Instead of building its AI data centre from the ground up , the DGX-1 integrates everything data
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