Uploaded July 2026 | Updated September 2026, 2 weeks ago

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Discover five key enhancements in VectorBlox™ Accelerator SDK 3.0 and see how the latest release helps developers deploy AI more efficiently on PolarFire® FPGAs and SoCs.

In this video, you'll learn:

• How VectorBlox simplifies AI deployment without requiring deep FPGA expertise.
• How new compression capabilities reduce model size and compute requirements while maintaining accuracy.
• How sparse neural network support boosts inference performance for edge AI workloads.
• How multiple AI workloads can run on a single FPGA.
• Why VectorBlox is ideal for applications such as Earth observation, autonomous navigation, industrial inspection and intelligent vision.

Whether you're developing computer vision, sensor fusion or other edge AI applications, VectorBlox 3.0 helps bring AI closer to the sensor with low latency, low power consumption and reliable performance.

Learn more and get started here:
👉 microchip.com/vectorblox
👉 github.com/microchip-vectorblox/vectorblox-sdk

#EdgeAI #FPGA #Microchip




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