Neelay Shah

Neelay Shah is the principal software architect for NVIDIA Triton Inference Server and an AI solutions engineer. His focus is on enabling developers with a smooth transition from prototyping to high-performance production deployments at scale. Before joining NVIDIA, Neelay was a principal engineer at Intel leading open source projects for computer vision pipelines. He has a bachelor’s degree in computer science from Williams College and a master’s degree in computer science from UIUC.
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Posts by Neelay Shah

Generative AI Apr 02, 2025

LLM Benchmarking: Fundamental Concepts

The past few years have witnessed the rise in popularity of generative AI and large language models (LLMs), as part of a broad AI revolution. As LLM-based... 14 MIN READ
Development & Optimization Mar 18, 2025

Introducing NVIDIA Dynamo, A Low-Latency Distributed Inference Framework for Scaling Reasoning AI Models

NVIDIA announced the release of NVIDIA Dynamo today at GTC 2025. NVIDIA Dynamo is a high-throughput, low-latency open-source inference serving framework for... 14 MIN READ
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Data Center / Cloud Mar 07, 2024

Generate Stunning Images with Stable Diffusion XL on the NVIDIA AI Inference Platform

Diffusion models are transforming creative workflows across industries. These models generate stunning images based on simple text or image inputs by... 14 MIN READ