CZ: Optimizing trading software boosts efficiency, FPGAs outperform custom silicon in trading, and the Bitcoin white paper’s clarity drives adoption | All-In
Posted On February 14, 2026
Optimizing trading software requires eliminating database lookups and simplifying computations for speed and efficiency. Custom silicon is challenging in high-frequency trading due to rapid algorithm changes. FPGAs balance efficiency and reprogrammability better than custom silicon in trading har…
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