GPU cluster in cooling data center

GPU cluster in a cooled data center, essential for AI training and high-performance computing.

About this subject

GPU clusters are the backbone of modern computing, especially for training artificial intelligence models. A typical cluster gathers hundreds or thousands of GPUs interconnected by high-speed networks like InfiniBand or NVLink, operating in data centers with advanced cooling systems. In Brazil, data centers such as Ascenty in São Paulo or Google in Sumaré host these clusters, consuming megawatts of power. Cooling is critical: GPUs like the NVIDIA H100 dissipate up to 700W each, requiring liquid cooling or precision air conditioning to avoid overheating. Companies like Petrobras and Brazilian banks use GPU clusters for seismic simulations and risk analysis, respectively. Energy efficiency is measured by PUE (Power Usage Effectiveness), ideally below 1.2. Brazil, with its renewable energy matrix, attracts investments in green data centers, reducing the carbon footprint of clusters.

Frequently Asked Questions

What is a GPU cluster?

It is a set of multiple interconnected GPUs for parallel processing, used in AI training, scientific simulations, and rendering.

Why is cooling important in GPU data centers?

GPUs generate a lot of heat; without proper cooling, they can overheat, reducing performance and damaging equipment.

What advantage does Brazil have for GPU data centers?

Brazil has an energy matrix with a high share of renewables (hydro, wind), offering cleaner and potentially cheaper power.