Build High-Performance and AI-Enabled Sensor Processing Applications

Along with the demand for real-time insights and autonomous decision-making comes the need for scalable edge solutions that can process AI-enabled sensor data at the source and scale out to on-premises or cloud. However, several formidable challenges lie ahead:

Real-time latency requirements.
Complexity of building and maintaining custom pipeline for AI-enabled sensor processing.
Hardware heterogeneity needs (for a solution not tied to a specific type of hardware).
Multimodality sensor processing.
Compute-efficient visualization.
Integration from edge to on-premises to cloud distributed network.
Long-term whole-stack stability.

Holoscan SDK is NVIDIA’s real-time, low-latency, and domain-agnostic SDK to build, deploy, and scale domain-agnostic AI-enabled sensor processing applications. We'll demonstrate how to scale with Holoscan, while stressing core components including simplification of I/O from sensor to GPU, AI inferencing and accelerated computing, and real time visualization.
Prerequisite(s):

Basic python, ML, and dockers understanding.