Code, Compute and Connection: Inside the Inaugural NVIDIA AI Day São Paulo

2026-02-12 · Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Cloud Computing & IT Infrastructure · Depth: Novice, short

Summary

The inaugural NVIDIA AI Day São Paulo, held in January, convened over 500 attendees to explore sovereign AI, AI agents, and open models. This event highlighted Brazil's expanding AI ecosystem, supported by the Brazilian Artificial Intelligence Plan for 2024-2028, which allocates approximately $4 billion through 2028 for AI infrastructure, R&D, and public services. Key statistics reveal Brazil's AI growth, including 1,000 NVIDIA Inception startups, 40 university engagements, 19,000 Deep Learning Institute trainees, 47 million CUDA downloads, and 123,000 developers using NVIDIA technologies. The event featured technical labs, sessions on AI agent creation, LLMs, and retrieval-augmented generation, alongside presentations from partners like Amadeus AI, Langflow, and WideLabs, showcasing advancements in fine-tuning LLMs, building AI agents, and developing sovereign AI platforms.

Key takeaway

For CTOs and VPs of Engineering evaluating international AI investment or expansion, Brazil presents a compelling opportunity. The nation's $4 billion "AI for the Good of All" plan and robust NVIDIA ecosystem indicate strong governmental and industrial commitment to AI development. You should consider strategic partnerships with Brazilian startups and academic institutions to tap into this growing market and contribute to sovereign AI initiatives, particularly in LLM development, healthcare, and financial services.

Key insights

Brazil is rapidly advancing its AI ecosystem through strategic government investment and NVIDIA partnerships.

Principles

• Sovereign AI fosters national economic growth and technological autonomy.
• GPU acceleration significantly speeds up data analysis in fields like biotechnology.

Method

Developing sovereign AI platforms involves national dataset initiatives, stringent safety/governance, and leveraging NVIDIA's AI stack, including NeMo and NIM microservices.

In practice

• Utilize GPUs and open-source tools for cost-effective LLM fine-tuning.
• Combine Langflow with NVIDIA tech to build robust, efficient AI agents.

Topics

• Sovereign AI
• NVIDIA GPUs
• Large Language Models
• AI Development
• Brazilian AI Plan

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Engineer, AI Researcher, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.