Description
What if your AI model used low-latency, deterministic hardware for each layer instead of running algorithms as a reconfigurable AI processor?
That's the power of Altera's AI software, having both spatial and sequential/overlay AI modeling available to construct custom AI inference functions.
Altera's software can create AI models that execute instructions sequentially like traditional processors or implement algorithms directly in hardware, enabling true parallel processing for higher throughput, lower latency, and greater energy efficiency.
In this video, you'll discover:
✅ Altera's spatial and sequential/overlay modeling architectures, and how they differ from CPUs and GPUs.
✅ Why re-programmable hardware (i.e., FPGAs) delivers optimized performance for AI workloads, especially as models evolve.
✅ When spatial architecture provides the greatest advantages
00:00 FPGA AI for Edge and Physical AI
00:29 Sequential Modeling Explained
00:47 Spatial Architecture for AI Acceleration
01:13 FPGA Streaming Pipelines and Deterministic Latency
01:32 Why Does Low Latency Matter for Robotics?
02:03 Spatial vs. Sequential Modeling: Which Should You Choose?
02:24 Optimizing AI Models for Latency, Throughput, and Power
02:51 Altera FPGA AI Suite: Architecture Comparison
Altera's FPGA AI Suite software enables you to explore and mix and match architectures that are optimal for your AI inference pipeline, whether sequential for CNNs, spatial for transformers, or either one for MLPs.
You don't need to be an FPGA expert to leverage Altera's AI software for developing AI accelerators for intelligent edge systems, networking infrastructure, or high-performance computing applications. Understanding both spatial and sequential/overlay architectures will help you unlock the full potential of programmable hardware for low-latency, deterministic AI inference.
FPGA AI Suite: https://www.altera.com/products/software-tools/fpga-ai-suite
FPGA: https://www.altera.com/field-programmable-gate-array
Physical AI: https://www.altera.com/solutions/physical-ai
CPU architecture: https://www.altera.com/why-fpgas#architectures
GPU architecture: https://www.altera.com/why-fpgas#architectures