Infrastructure for artificial intelligence: what RISC Technology brought to SIGE 2026
Between September 29 and October 1, RISC Technology was a silver sponsor of the Electronic Warfare Symposium (SIGE) 2026 , held at the Technological Institute of Aeronautics (ITA) in São José dos Campos (SP).
The event brought together professionals, researchers, institutions, and companies in technology, innovation, and defense to discuss current challenges and solutions that shape the future. For RISC, it was a chance to closely follow the demands for computing power, data processing, artificial intelligence, and high-performance infrastructure .
Why IT infrastructure is strategic for AI projects
More complex models, large volumes of data, and intensive processing applications demand environments prepared to keep pace with this evolution. IT infrastructure is no longer just support; it becomes a strategic factor.
An AI project depends on servers, GPUs, storage, networks, and security working in an integrated way.
The role of GPUs in artificial intelligence.
GPUs have gained relevance in AI because they perform a large number of operations in parallel. This is especially important in AI and high-performance computing (HPC) workloads that require significant processing power.
As an NVIDIA Preferred Partner , RISC Technology supports the NVIDIA ecosystem and provides infrastructure solutions for projects that require high performance.
A powerful GPU is not enough.
A high-performance GPU doesn't work in isolation. To unlock its full potential, you need to evaluate the entire environment:
• servers
• storage
• connectivity
• management
• energy
• refrigeration
• security
Therefore, planning is a fundamental step in any AI project.
Infrastructure for demanding environments
In AI applications, simulations, data analysis, and HPC, four factors become even more important: processing power, availability, scalability, and security .
This calls for an approach that goes beyond simply choosing equipment: understanding the application, assessing current and future demands, and structuring an infrastructure that keeps pace with the project's growth.
RISC Technology and the NVIDIA ecosystem
RISC's presence at SIGE 2026 reinforces its role within the AI and HPC technology ecosystem. As an NVIDIA Preferred Partner, the company works with solutions that help organizations evaluate ways to modernize and expand their IT environments, connecting technology and business needs with a focus on performance, scalability, availability, and security.
The connection between technology, innovation, and defense.
Beyond the technical content, the sponsorship allowed for the expansion of connections with professionals and organizations in the areas of technology, innovation, and defense. Events like SIGE help to keep up with trends, understand new challenges, and strengthen relationships with industry partners.
Frequently Asked Questions
What is infrastructure for artificial intelligence?
It is the set of servers, GPUs, storage, networks, management, and security that supports the training and execution of AI applications.
Why are GPUs important for AI?
Because they perform many operations in parallel, which is essential in AI and HPC workloads with high processing demands.
What should you consider when planning an AI project?
The application requirements, current and future needs, and all components of the environment: servers, storage, connectivity, power, cooling, and security.
Infrastructure for the future of AI
AI will continue to expand the demand for processing, storage, and connectivity. Talking about AI is also talking about the infrastructure that makes it possible.
For over 25 years, RISC Technology has been providing IT infrastructure for organizations that need environments ready for the challenges of today and tomorrow.
Looking to assess the ideal infrastructure for your AI project? Talk to a RISC Technology expert.
