🚀 Deploying ML Models on FPGAs Just Got Even Easier!
Simply drag and drop your model, and our compiler will instantly:
✅ Estimate FPGA resources
✅ Generate an inference diagram
Adjust latency and frequency and get instant feedback on usage
Try it now (no signup required):
www.siwave.io/app.html

We are looking for a machine vision expert on a short term fully remote contract. Optimize existing models to meet specific targets. Must have work experience with convolutional and vision transformers. Com with hardware team to test models on different platforms. If interested send me a short bio.

Announcing YOLO11 inference. Frame rates from 1 FPS up to 10K FPS with adjustable image resolution (www.siwave.io).

Inference implemented and tested on Virtex Ultrascale+, can be ported to other devices/vendors.

Get in touch if you’re interested.

#yolo #yolo11 #machinevision #machinelearning #ai

SiWave Semiconductor Corporation on LinkedIn: #machinelearning #machinevision #artificialintelligence #yolo #fpga If you don't have the time nor the resources to develop your own machine vision design then we have a perfect solution for you. Our full turnkey embedded…

www.linkedin.com/posts/siwave...

Do you use FPGA to run ML inferences?

1️⃣ Yes
2️⃣ No

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FPGA Resource Usage

Latest and greatest release of our cloud based RTL ML inference compiler for FPGA and ASIC. At least 3x smaller inferences and 2x higher performance than any other RTL inference compiler on the market today.

Signup for a 30 days no obligation free trial account on our website www.siwave.io