Most engineers optimize for average latency.
Markets don't.
In HFT, the difference between winning and losing often lives in the p99.9, where cache misses, scheduler jitter, and interrupts turn an 800ns path into a 4µs one.
And once you've exhausted kernel bypass, huge pages, and CPU pinning, you're no longer fighting software.
You're fighting the CPU itself.
That's where FPGAs enter the picture.
Instead of executing instructions one after another, they execute pipelines.
Market data parsing, order book updates, signal evaluation, and order generation all happen simultaneously. Every stage consumes a clock cycle. Every cycle is deterministic.
No scheduler.
No context switches.
No branch prediction.
Just logic switching at hundreds of megahertz.
Ironically, achieving sub-microsecond latency isn't the hardest part.
Iteration is.
A software engineer can deploy ten times a day.
An FPGA engineer may spend four hours waiting for synthesis and place-and-route before discovering a timing violation.
At that level, the bottleneck shifts from nanoseconds to engineering productivity.
And that's what makes FPGA trading systems fascinating.
By the time you're chasing the last few microseconds, you're no longer optimizing code.
You're optimizing physics.
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