AI for the internet-of-things requires full-stack transformation as well as innovation of the underlying processors, AI algorithms, and training-deployment workflows.
From using frameworks like NeMo for distributed training of conversational agents, to embedding computer vision models on Jetson Xavier for low-latency video analytics, Quantiphi leverages NVIDIA's computing platform to build applied AI solutions for the era of geo-distributed Artificial Intelligence.
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