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RISC Technology makes its mark at NVIDIA GTC 2026: the future of AI at scale has already begun.

NVIDIA GTC 2026 , one of the largest global events for artificial intelligence , accelerated computing , and high-performance infrastructure , once again brought together researchers, engineers, data scientists, and technology leaders. As is tradition, RISC Technology was present to closely follow the innovations that are shaping the future of computing and generative AI .

 

Infrastructure for scalable AI: breaking new performance boundaries.

Among the event's major highlights, NVIDIA presented significant advancements in its accelerated platforms for training, deploying, and operationalizing AI models at scale . The new NVIDIA Blackwell architecture and its generation of accelerators reinforce significant gains in:

  • Energy efficiency

  • Scalability

  • Integrated security

  • Support for large-scale generative models


For companies looking to implement robust AI projects , these developments

They pave the way for:

  • Faster training of complex models

  • Hybrid architectures with a focus on sustainability.

  • Frameworks integrated with IoT and Edge Computing

  • Optimized solutions for MLOps and automation.

  • Secure infrastructures aligned with the LGPD ( Brazilian General Data Protection Law) and the EU AI Act.

These pillars position the new generation of accelerated data centers as a critical element for organizations seeking to adopt scalable AI responsibly.

 

GTC 2026: The advancement of generative AI and its impacts on applied research.

The event program featured several case studies demonstrating how generative AI is redefining sectors such as healthcare, biotechnology, the automotive industry, and logistics. Researchers and data scientists had access to:

  • Advanced APIs

  • Tools for accelerating experiments

  • Practical demonstrations of AI pipelines

  • New approaches to productivity with generative AI


One of the most emphasized themes was the convergence between generative AI and Edge computing.

Computing , enabling real-time analysis in distributed environments, is a trend fully aligned with the solutions that RISC Technology already supports in industrial and logistics sectors in Brazil.

 

Ethics, safety, and regulation: pillars of responsible AI.

With the rapid expansion of AI, the need to ensure that its adoption follows principles of transparency, governance, and security is also growing. The GTC 2026 reinforced the importance of topics such as:

  • Data governance

  • Algorithmic transparency

  • Responsibility in the use of generative models

  • Compliance with regulations such as LGPD and EU AI Act


These discussions highlighted the need for infrastructure architectures that offer:

  • End-to-end security

  • Auditability

  • Protection of sensitive data

  • Operational reliability

RISC Technology already has a strong presence offering hybrid cloud solutions, enterprise security, and AI accelerators, ensuring compliance and performance.

 

The presence of RISC Technology in NVIDIA GTC

Being present at GTC allows RISC to directly follow the roadmap of the most advanced hardware and software technologies focused on AI. During the event, we participated in:

  • In-depth technical sessions

  • Demonstrations of new accelerated platforms

  • Lectures with global leaders in AI

  • Presentations from partner ecosystems

This monitoring is essential to strengthen our commitment to delivering smart, scalable, and secure infrastructure to our customers.


The future of AI is already being built, and RISC is prepared to lead this journey.

This year's edition confirmed that we are living through a new cycle of computing, driven by the convergence of AI, HPC, Edge, and Cloud . This union is accelerating discoveries, transforming industries, and opening unprecedented opportunities for companies that want to operate at scale.


RISC Technology stays attentive to trends and is prepared to support its clients throughout the entire AI journey , from infrastructure design to model deployment in production.




At the NVIDIA 2026 event, RISC was present, closely following the trends that are shaping the future of technology.

 
 
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