Microchip Technology has released the VectorBlox 3.0 Accelerator SDK to help simplify FPGA‑based AI implementation and speed time‑to‑market.
Microchip has unveiled the VectorBlox 3.0 Accelerator SDK, enabling faster, more efficient neural network implementation on PolarFire FPGAs and SoCs. With support for sparse neural networks, developers can accelerate AI inference, reduce power consumption, and simplify FPGA-based AI deployment for aerospace, defense, industrial automation, and other mission-critical applications.
“As AI models continue to grow in complexity, compression is becoming essential for deploying intelligence at the edge,” said Shakeel Peera, corporate vice president and GM of Microchip Technology Inc. FPGA business unit. “With VectorBlox 3.0, we’re leveraging sparsity-based model compression from our Neuronix acquisition to reduce compute demands while preserving accuracy.”
