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.
Avatar photo

Posts by Karin Sevegnani

Agentic AI / Generative AI Sep 23, 2025

Faster Training Throughput in FP8 Precision with NVIDIA NeMo

In previous posts on FP8 training, we explored the fundamentals of FP8 precision and took a deep dive into the various scaling recipes for practical large-scale... 12 MIN READ
Decorative image.
Agentic AI / Generative AI Jul 01, 2025

Per-Tensor and Per-Block Scaling Strategies for Effective FP8 Training

In this blog post, we’ll break down the main FP8 scaling strategies—per-tensor scaling, delayed and current scaling, and per-block scaling (including the... 10 MIN READ
A decorative image.
Agentic AI / 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
Developer Tools & Techniques 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
Developer Tools & Techniques 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
Agentic AI / 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