TinyML at CERN: How FPGAs and hls4ml Solve Physics' Biggest Data Problem [2026]

TinyML at CERN: How FPGAs and hls4ml Solve Physics' Biggest Data Problem Forty million times per second, proton bunches collide inside the Large Hadron Collider. Each crossing can produce dozens of simultaneous collisions, generating up to a billion particle interactions per second at high luminosity. The raw data rate from CERN's main detectors hits multiple petabytes per second. That's more data than every internet backbone on Earth combined. And the part that still blows my mind: the system that decides what to keep and what to throw away is running TinyML at CERN on silicon that fits in your hand. This isn't a chatbot. It's not generating images. It's a neural network burned into an FPGA, making life-or-death decisions for particle physics at speeds that would make your GPU weep. The tool that makes it all work is called hls4ml, and it's completely open source. The Data Problem That Makes "Big Data" Look Quaint Let's put CERN's data challenge in perspective. The LHC's bunch crossin