Optimization and power for AI, from Edge AI to the data centre

Artificial intelligence and machine learning require enormous computing power, but physical space, especially in electrical panels and data centres, is an increasingly precious resource. Responding to this need for optimization is the mission of TPole, which establishes itself in the market with high-performance industrial server solutions, custom-designed for the most demanding applications. An emblematic example of this philosophy is our 19″ 2U rack computer. 

This compact solution is designed to maximize computing power in a small space, housing two NVIDIA L40 GPUs, which are ideal for running complex artificial intelligence algorithms and training neural networks. All of this is achieved while maintaining remarkable energy efficiency, with a power draw of only 300W per card.

Custom server solutions for every market

With an average of 350-400 servers sold annually, TPole is an established technology partner for a wide range of industries. We configure solutions for clients operating in AI, machine vision, defence, transportation, MES (Manufacturing Execution System), Digital Twin, and the pharmaceutical sector. Our flexibility allows us to offer both servers from leading brands like Supermicro or Asus, as well as fully customized OEM solutions based on the needs and requirements of our customers’ specific applications.

TPole, your partner for choosing your industrial server

TPole’s offerings cover every performance and environmental need. Our configurations range from compact 1U servers to powerful 8U systems, with single or dual-processor options and redundant power supplies (up to four) to ensure maximum reliability. To best manage the high temperatures generated by intensive workloads, we offer both traditional ventilation systems and advanced liquid cooling solutions. To complete the computing infrastructure, we also provide NAS (Network Attached Storage) systems of various capacities, supporting the customer in choosing and configuring the most suitable solution to efficiently store and manage the large volumes of data required by modern applications.