Giuseppe Fiameni

Giuseppe Fiameni is a senior solutions architect specialized in AI and accelerated computing at NVIDIA, where he manages the NVIDIA AI Technology Center (NVAITC) program in EMEA. He holds a PhD in Computer Engineering from the University of Modena e Reggio Emilia where he is also co-lecturer of the Scalable AI master course, which provides comprehensive insights into the challenges and techniques of training and deploying large-scale AI models. He has extensive experience in high-performance computing, having previously worked for CINECA, the Italian supercomputing center. His research focuses on AI, HPC, and scientific data analysis, and he has contributed to numerous publications in these fields.
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Posts by Giuseppe Fiameni

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Generative AI

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

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

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