Episode 14: Edge AI Inference and NGC-Ready Server: A Hardware Perspective

The accelerating deployment of powerful AI solutions in competitive markets has evolved hardware requirements down to the very edge of our network due to eruption in AI-based products and services. For edge AI workloads, efficient and high-throughput inference depends on a well-curated compute platform. Advanced AI applications now face fundamental deep learning inference challenges in latency, reliability, multi-precision artificial neural networks support and solution delivery. NGC software runs on a wide variety of edge-to-cloud GPU servers, and Lanner’s edge AI appliance, LEC-2290E, optimized for NVIDIA® T4 have passed an extensive suite of tests that validate its ability to deliver high-volume, low-latency inference using NVIDIA GPU and NGC software components such as TensorRT, TensorRT Inference Server, DeepStream, CUDA toolkit, and various NGC-supported deep learning frameworks.

Episode 14: Edge AI Inference and NGC-Ready Server: A Hardware Perspective was last modified: June 3rd, 2021 by Fernando Contreras