Hello everyone,
I am learning about how to utilize QuickLogic's core IP for AI/ML applications running on an FPGA. I see some documents discussing eFPGA and supporting tools, but I am unsure how people have implemented it in practice to optimize performance and reduce latency.
Pokerogue
Has anyone done AI/ML projects on an FPGA with QuickLogic and can share their experiences, challenges, and optimization tips?
Thank you very much!
Experience using QuickLogic IP to optimize AI/ML performance on FPGA?
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speedstars
- Posts: 1
- Joined: Mon Oct 13, 2025 2:42 am
Have you tried using the QuickAI or EOS S3 platform for your experiments yet? I’m curious how the performance compared to traditional FPGA setups.