Altera has released FPGA AI Suite 26.1.1, a major update to its AI software platform. It is designed to simplify and accelerate the deployment of trained AI models to FPGAs for edge AI applications that power physical AI systems such as robotics and real-time autonomous machines.
The 26.1.1 release introduces new compiler technology that uses spatial mapping for AI models. This approach provides ASIC-like performance for optimized AI inference while maintaining fast time-to-market and reprogrammability for evolving workloads with deterministic, low-latency FPGA-based execution.
The spatial compiler architecture in FPGA AI Suite 26.1.1 maps neural networks directly to FPGA hardware, enabling a streaming dataflow approach instead of traditional sequential processing. Optimizing data movement and parallel execution increases efficiency, delivering higher throughput, lower power consumption, and guaranteed low latency. This makes it ideal for real-time edge applications such as vision, video analytics, language models, and sensor processing in physical AI systems.
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Edge AI redefines how physical AI systems such as robotics and autonomous machines interact with the real world, enabling them to sense, think, and act across dynamic environments in real time. These physical AI systems require high performance, low-latency sensor processing, efficient AI inference, and deterministic responses to enable safe and intelligent operation.
Altera supports these applications with AI-enabled Agilex® FPGAs and FPGA AI Suite, delivering deterministic, low-latency performance with the flexibility to adapt to evolving AI workloads. By combining adaptive hardware and optimized AI development tools, Altera enables developers to build and deploy scalable real-time edge AI solutions across the Agilex portfolio. Agilex FPGAs offer a variety of capacities, peripherals, and interfaces to support edge AI applications across a variety of form factors. These solutions enable next-generation physical AI systems with built-in safety, security, and reliability.
“FPGA AI Suite 26.1.1 reflects our broader strategy to make FPGA-based AI implementations more accessible and scalable,” said Venkat Yadavalli, head of Altera’s business management group. “As AI moves closer to the edge, developers need easy-to-deploy solutions that combine performance, efficiency and flexibility. FPGA AI Suite allows customers to seamlessly scale across Altera’s Agilex portfolio and target a wide range of end applications and use cases with a unified development approach.”
