AI is moving beyond the Cloud and into the machines, cameras, robots, industrial systems, and next-generation infrastructure. For developers, this creates a demanding challenge; how do you deliver more AI performance while keeping latency, power consumption and system cost under control?

Explore how modern FPGAs can provide a flexible and efficient platform for AI acceleration. Starting with Altera’s vision for AI, the talk will show how FPGA-based architectures combine deterministic low latency, adaptable hardware, and AI-optimized processing to address both edge- and infrastructure applications.

Through practical examples from industrial vision, robotics, wireless, automotive applications, attendees will see where FPGAs can complement conventional CPU and GPU approaches and how tools such as the Altera FPGA AI Suite can help turn trained AI models into deployable FPGA accelerators.

What you will take away:

• Why FPGAs are increasingly relevant for real-time and edge AI

• How programmable hardware can balance performance, latency, power, and flexibility

• Examples of AI applications and acceleration opportunities across multiple industries

• How Altera’s tools, devices, and partner ecosystem can shorten the path from AI model to embedded implementation

The session is aimed at engineers and architects who want a practical view of where FPGA technology fits in the rapidly evolving AI landscape—and how it can help build smarter, more responsive systems.