What is Edge AI?
Edge AI is essentially bringing the data processing near to the source. AI algorithms run locally on the hardware device or edge nodes utilizing the edge computing infrastructure. Data is thus processed in real-time at the source or near to the source. It helps to mitigate few of the challenges associated with cloud AI like…
How is developing AI for Edge devices different from that for the cloud?
One of the major factors that differentiate Cloud AI from Edge AI is the infrastructure support. Deep neural networks are growing deep and becoming computationally heavy which can be easily supported with cloud infrastructure. But with Edge AI, the neural networks are deployed on resource-constrained devices. To deploy these huge neural architectures on edge devices…
What is ENAP Studio?
ENAP Studio is EDGENeural’s EDGE AI Platform designed to simplify and accelerate the Edge AI development cycle. It is a software-defined platform focused on developing effective AI models for Edge devices. It provides a modular fully-integrated workflow that allows developers to easily Train, Optimize and Deploy Neural Networks for Edge devices. A unified, cloud-neutral, and…
Which activities can be performed with ENAP Studio?
1. Training an AI model Simple user interface to train various computer vision models with just few selections. Select the model details, which prefills the default parameters like epochs and batch size for best training performance, upload the dataset, and begin training. 2. Optimizing an AI model The trained AI model from the previous step…
How does ENAP Studio help me?
ENAP Studio enables developers to leverage AI at the Edge easily and efficiently. Edge AI applications can be built within a few weeks thereby helping developers to focus on the main project without being bothered by the complexities involved. It provides a platform to easily train, optimize, deploy and manage AI models for edge for…