Shankar Chandrasekaran

Shankar is a senior product marketing manager in the data center GPU team at NVIDIA. He is responsible for GPU software infrastructure marketing to help IT and DevOps easily adopt and seamlessly integrate GPUs in their infrastructure. Before NVIDIA, he held engineering, operations, and marketing positions in both small and large technology companies. He holds business and engineering degrees.

Posts by Shankar Chandrasekaran

Technical Walkthrough 0 Nov 09, 2021

Fast and Scalable AI Model Deployment with NVIDIA Triton Inference Server

Deploying fast and scalable AI models with NVIDIA Triton Inference Server supports high-performance. 12 MIN READ
Technical Walkthrough 0 Sep 14, 2021

Simplifying AI Model Deployment at the Edge with NVIDIA Triton Inference Server

Learn how to simplify AI model deployment at the edge with NVIDIA Triton Inference Server on NVIDIA Jetson. 6 MIN READ
Technical Walkthrough 0 Apr 30, 2021

Scaling Inference in High Energy Particle Physics at Fermilab Using NVIDIA Triton Inference Server

In a series of studies, physicists from Fermilab, CERN, and university groups explored how to accelerate their data processing using NVIDIA Triton Inference… 9 MIN READ
Technical Walkthrough 0 Apr 12, 2021

Simplifying AI Inference in Production with NVIDIA Triton

In this blog post, learn how Triton helps with a standardized scalable production AI in every data center, cloud, and embedded device. 9 MIN READ
Technical Walkthrough 0 Dec 17, 2020

Deploying AI Deep Learning Models with NVIDIA Triton Inference Server

In the world of machine learning, models are trained using existing data sets and then deployed to do inference on new data. In a previous post… 7 MIN READ
Technical Walkthrough 0 Oct 05, 2020

Simplifying and Scaling Inference Serving with NVIDIA Triton 2.3

AI, machine learning (ML), and deep learning (DL) are effective tools for solving diverse computing problems such as product recommendations… 12 MIN READ