Neal Vaidya

Neal Vaidya is a technical marketing engineer for deep learning software at NVIDIA. He is responsible for developing and presenting developer-focused content on deep learning frameworks and inference solutions. He holds a bachelor’s degree in statistics from Duke University.
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Posts by Neal Vaidya

Generative AI / LLMs

Mastering LLM Techniques: Inference Optimization

Stacking transformer layers to create large models results in better accuracies, few-shot learning capabilities, and even near-human emergent abilities on a... 25 MIN READ
An illustration representing Nemotron-3-8b model family.
Generative AI / LLMs

NVIDIA AI Foundation Models: Build Custom Enterprise Chatbots and Co-Pilots with Production-Ready LLMs

Large language models (LLMs) are revolutionizing data science, enabling advanced capabilities in natural language understanding, AI, and machine learning.... 12 MIN READ
Stylized image of a workflow, with nodes labelled LLM, Optimize, and Deploy.
Generative AI / LLMs

Optimizing Inference on Large Language Models with NVIDIA TensorRT-LLM, Now Publicly Available

Today, NVIDIA announces the public release of TensorRT-LLM to accelerate and optimize inference performance for the latest LLMs on NVIDIA GPUs. This open-source... 10 MIN READ
TensorRTLLM illustration.
Top Stories

NVIDIA TensorRT-LLM Supercharges Large Language Model Inference on NVIDIA H100 GPUs

Large language models (LLMs) offer incredible new capabilities, expanding the frontier of what is possible with AI. However, their large size and unique... 9 MIN READ
Graphic with computer, cloud, and GPU icons
Conversational AI

Autoscaling NVIDIA Riva Deployment with Kubernetes for Speech AI in Production

Speech AI applications, from call centers to virtual assistants, rely heavily on automatic speech recognition (ASR) and text-to-speech (TTS). ASR can process... 13 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