Nirmal Kumar Juluru

Nirmal Kumar Juluru is a product marketing manager at NVIDIA driving the adoption of AI software, models, and APIs in the NVIDIA NGC Catalog and NVIDIA AI Foundation models and endpoints. He previously worked as a software developer. Nirmal holds an MBA from Carnegie Mellon University and a bachelors in computer science from BITS Pilani.
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Posts by Nirmal Kumar Juluru

Agentic AI / Generative AI Jul 26, 2026

NVIDIA Nemotron 3 Ultra Leads Open Models on Accuracy and Efficiency in Agentic RTL Coding

Modern chip design is increasingly limited by engineering time. Register transfer level (RTL) development and verification require specialized hardware... 9 MIN READ
Agentic AI / Generative AI Jun 25, 2025

Boost Embedding Model Accuracy for Custom Information Retrieval

Customizing embedding models is crucial for effective information retrieval, especially when working with domain-specific data like legal text, medical records,... 8 MIN READ
Agentic AI / Generative AI Jun 11, 2025

Advancing Agentic AI with NVIDIA Nemotron Open Reasoning Models

As AI progresses toward greater autonomy, the emergence of AI agents capable of independent decision-making marks a significant milestone. To function... 6 MIN READ
Agentic AI / Generative AI May 07, 2025

Building Nemotron-CC, A High-Quality Trillion Token Dataset for LLM Pretraining from Common Crawl Using NVIDIA NeMo Curator

Curating high-quality pretraining datasets is critical for enterprise developers aiming to train state-of-the-art large language models (LLMs). To enable... 7 MIN READ
Agentic AI / Generative AI Apr 15, 2025

NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy

AI is no longer just about generating text or images—it’s about deep reasoning, detailed problem-solving, and powerful adaptability for real-world... 8 MIN READ
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Agentic AI / Generative AI Apr 07, 2025

Evaluating and Enhancing RAG Pipeline Performance Using Synthetic Data 

As large language models (LLM) gain popularity in various question-answering systems, retrieval-augmented generation (RAG) pipelines have also become a focal... 11 MIN READ