Sergio Perez

Sergio Perez is a solution architect at NVIDIA who specializes in the training and inference of LLMs. Sergio works alongside AI developers in public supercomputer centers and sectors such as energy, automotive, finance, telecommunications, and internet services. He has contributed to production applications of LLMs covering RAG systems, optimization of inference servers, pretraining of LLMs from scratch, custom evaluation of LLMs, or quantization using FP8 formats. Sergio holds a Ph.D. in computational fluid dynamics from Imperial College London.
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Posts by Sergio Perez

Stack diagram for LLM Megatron Core.
Data Center / Cloud Jan 16, 2025

Continued Pretraining of State-of-the-Art LLMs for Sovereign AI and Regulated Industries with iGenius and NVIDIA DGX Cloud

In recent years, large language models (LLMs) have achieved extraordinary progress in areas such as reasoning, code generation, machine translation, and... 17 MIN READ