The Adaptive AI™ Approach: Run Deep Neural Networks with Optimal Performance
If you are an AI engineer dissatisfied with the speed or power consumption of your neural network inferences and believe there are no solutions available for better performance….then keep reading! I’d like to introduce a new way to run your deep neural networks at their most optimal point. It is dynamic, context-aware, and flexible. It ...
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How Latent AI’s LEIP SDK Improves Deep Learning Inference Efficiency
Our Latent AI Efficient Inference Platform (LEIP) is an SDK for deep learning training and inference. LEIP provides APIs to train, quantize, and deploy edge AI models from many deep learning frameworks. It then generates optimized runtime engines deployable in embedded devices and infrastructure edge devices. Latent AI’s LEIP SDK enables you to deploy deep ...
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The Era of Commercializing AI, Part Two
Supporting Efficient Workflow for Commercializing AI At the early stage of AI commercialization, we are faced with the “dark ages” of tools, infrastructure, and approaches. There are many analogies that we can draw upon to understand where we truly are at this moment. For example, in the early days of the Internet, everyone was building ...
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