AI Is Now a Core Software Layer

Rama Akkiraju, VP of IT for AI and Machine Learning at NVIDIA, shared insights on the AI Podcast about how AI has evolved from just a tool to becoming a central layer in application development. She urged businesses to treat AI like a new layer in the development stack.

From Perception to Agentic AI A Rapid Evolution

According to Akkiraju, the shift from perception AI to generative AI took decades, but agentic AI systems that reason, plan, and act emerged in just two years. This fast progress highlights how quickly AI is reshaping industries.

The Role of AI Platform Architects

AI platform architects are now crucial in helping businesses adopt AI effectively. They design complex stacks, including data pipelines, vector databases, and security controls, to match an organization’s goals and technical requirements.

AI Factories Turn Data Into Results

She described modern AI infrastructure as AI factory systems that help convert raw enterprise data into valuable outcomes using AI models.

Top Trends in AI Infrastructure

Akkiraju outlined three major trends shaping the future of AI in business.

• Specialized AI systems integrated into company platforms
• Domain-specific models and optimized hardware
• Advanced agentic systems with memory and context management

Final Thoughts

NVIDIA continues to lead in AI infrastructure by combining strategic vision with powerful engineering. As AI rapidly matures, platform architects and modern AI stacks will be essential for businesses to stay competitive and innovative.