Part 1/13:

Building Large-Scale Deep Learning Inference Platforms with Triton Inference Server

Introduction

In today's rapidly evolving AI landscape, there's an increasing emphasis not just on developing sophisticated models but also on deploying them effectively at scale. As Mig, Solution Architect and Engineering Manager at Canvideo, explained during a recent webinar, the challenge often lies in serving deep learning models efficiently and cost-effectively across varied environments—cloud, on-premises, or edge devices. This article dives into the key concepts discussed, emphasizing how Triton Inference Server, along with model optimization technologies like TensorRT and compiler frameworks such as Tensority, forms a comprehensive solution for large-scale deployment.