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.
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Posts by Shankar Chandrasekaran

Data Science

How to Deploy an AI Model in Python with PyTriton

AI models are everywhere, in the form of chatbots, classification and summarization tools, image models for segmentation and detection, recommendation models,... 6 MIN READ
Inference software graphic
Simulation / Modeling / Design

Power Your AI Inference with New NVIDIA Triton and NVIDIA TensorRT Features

NVIDIA AI inference software consists of NVIDIA Triton Inference Server, open-source inference serving software, and NVIDIA TensorRT, an SDK for... 5 MIN READ
Data Science

Designing an Optimal AI Inference Pipeline for Autonomous Driving

Self-driving cars must be able to detect objects quickly and accurately to ensure the safety of their drivers and other drivers on the road. Due to this need... 8 MIN READ
Data Science

Run Multiple AI Models on the Same GPU with Amazon SageMaker Multi-Model Endpoints Powered by NVIDIA Triton Inference Server

Last November, AWS integrated open-source inference serving software, NVIDIA Triton Inference Server, in Amazon SageMaker. Machine learning (ML) teams can use... 2 MIN READ
Simulation / Modeling / Design

Solving AI Inference Challenges with NVIDIA Triton

Deploying AI models in production to meet the performance and scalability requirements of the AI-driven application while keeping the infrastructure costs low... 12 MIN READ

Implementing Industrial Inference Pipelines for Smart Manufacturing

Implementing quality control and assurance methodology in manufacturing processes and quality management systems ensures that end products meet customer... 3 MIN READ