BrainChip Demonstration of LLM Inference On an FPGA at the Edge using the TENNs Framework

Kurt Manninen, Senior Solutions Architect at BrainChip, demonstrates the company’s latest edge AI and vision technologies and products at the 2025 Embedded Vision Summit. Specifically, Van Manninen demonstrates his company’s large language models (LLMs) running on an FPGA edge device, powered by BrainChip’s proprietary TENNs (Temporal Event-Based Neural Networks) framework.

BrainChip enables real-time generative AI at the edge with ultra-low power consumption and minimal compute resources: ideal for AI developers building smarter and more efficient edge solutions.

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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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