Karin Sevegnani

Karin Sevegnani is a senior solutions architect at NVIDIA, where she leads the NVIDIA AI Technology Centre (NVAITC) in the UK. In this role, she drives collaborations with higher education institutions and research organizations to advance AI innovation and adoption. Before joining NVIDIA, Karin worked as a research engineer in Edinburgh, applying her expertise in AI development. She holds a PhD in Conversational AI from a joint program between the University of Edinburgh and Heriot-Watt University, completed under a combined scholarship and degree arrangement. Her specialization lies in natural language processing (NLP), particularly in conversational AI systems.
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Posts by Karin Sevegnani

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Generative AI Jun 04, 2025

Floating-Point 8: An Introduction to Efficient, Lower-Precision AI Training

With the growth of large language models (LLMs), deep learning is advancing both model architecture design and computational efficiency. Mixed precision... 11 MIN READ
Development & Optimization May 27, 2025

Advanced Optimization Strategies for LLM Training on NVIDIA Grace Hopper

In the previous post, Profiling LLM Training Workflows on NVIDIA Grace Hopper, we explored the importance of profiling large language model (LLM) training... 10 MIN READ
Development & Optimization May 27, 2025

Profiling LLM Training Workflows on NVIDIA Grace Hopper

The rapid advancements in AI have resulted in an era of exponential growth in model sizes, particularly in the domain of large language models (LLMs). These... 12 MIN READ
Generative AI Apr 24, 2025

Benchmarking Agentic LLM and VLM Reasoning for Gaming with NVIDIA NIM

This is the first post in the LLM Benchmarking series, which shows how to use GenAI-Perf to benchmark the Meta Llama 3 model when deployed with NVIDIA NIM. ... 7 MIN READ