News & EventsReal-Time ML Inference for HFT: ICC and Xelera Deliver Consistent Sub-Microsecond Latency
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Real-Time ML Inference for HFT: ICC and Xelera Deliver Consistent Sub-Microsecond Latency
Experience real-time ML inference for high-frequency trading with ICC VEGA servers powered by Xelera Silva. Achieve consistent sub-2µs latency with deterministic performance that outpaces traditional CPU-based systems.
June 10, 2025
In high-frequency trading (HFT), every microsecond influences performance and profitability. Integrating machine learning into trading workflows requires infrastructure that supports real-time inference with extreme precision and reliability. Traditional CPU-based approaches often fall short of the demands placed by modern electronic trading systems. ICC Servers Accelerated by Xelera Silva ICC’s VEGA servers, integrated with Xelera Silva, bypass the CPU bottleneck by using FPGA acceleration for inference. This configuration enables deterministic execution and stable latency profiles, even under demanding conditions. Silva’s inference engine, deployed on ICC VEGA systems, consistently delivers single-digit microsecond latency, with minimal jitter across small and large models.
In contrast, CPU-based inference typically ranges from 26µs to 163µs, often with unpredictable spikes. The ICC and Silva setup offers more than 10 times lower latency with far tighter variance.
Why This Changes Everything Sub-2µs inference is not just impressive. It unlocks real-time ML in live trading environments. With ICC VEGA servers and Xelera Silva, you can:
Run ML models directly in trading systems without causing delays
React to market signals in real time, not after the fact
Avoidlatency spikes that lead to missed trades or poor execution
Deploy strategies that were previously too slow to use in production
Most CPU-based setups are simply too inconsistent. They can take 30 to 160 microseconds, sometimes more, and often with unpredictable behavior. ICC systems bring that down to just over 1 microsecond, with tight, reliable performance. This makes machine learning fast enough for the front line, not just for research.
Built for Live Trading The combination of ICC hardware and Xelera’s Silva platform enables trading firms to deploy complex ML models with confidence in both speed and consistency. With inference executed in microseconds, you can rely on your AI-driven strategies to perform at wire speed. This is production-grade infrastructure for high-stakes environments, tested against the toughest performance metrics in finance. To see the full benchmark data or request a live demo, get in touch with the ICC team.
Bench Mark Reports:
In high-frequency trading (HFT), every microsecond influences performance and profitability. Integrating machine learning into trading workflows requires infrastructure that supports real-time inference with extreme precision and reliability. Traditional CPU-based approaches often fall short of the demands placed by modern electronic trading systems. ICC Servers Accelerated by Xelera Silva ICC’s VEGA servers, integrated with Xelera Silva, bypass the CPU bottleneck by using FPGA acceleration for inference. This configuration enables deterministic execution and stable latency profiles, even under demanding conditions. Silva’s inference engine, deployed on ICC VEGA systems, consistently delivers single-digit microsecond latency, with minimal jitter across small and large models.
In contrast, CPU-based inference typically ranges from 26µs to 163µs, often with unpredictable spikes. The ICC and Silva setup offers more than 10 times lower latency with far tighter variance.
Why This Changes Everything Sub-2µs inference is not just impressive. It unlocks real-time ML in live trading environments. With ICC VEGA servers and Xelera Silva, you can:
Run ML models directly in trading systems without causing delays
React to market signals in real time, not after the fact
Avoidlatency spikes that lead to missed trades or poor execution
Deploy strategies that were previously too slow to use in production
Most CPU-based setups are simply too inconsistent. They can take 30 to 160 microseconds, sometimes more, and often with unpredictable behavior. ICC systems bring that down to just over 1 microsecond, with tight, reliable performance. This makes machine learning fast enough for the front line, not just for research.
Built for Live Trading The combination of ICC hardware and Xelera’s Silva platform enables trading firms to deploy complex ML models with confidence in both speed and consistency. With inference executed in microseconds, you can rely on your AI-driven strategies to perform at wire speed. This is production-grade infrastructure for high-stakes environments, tested against the toughest performance metrics in finance. To see the full benchmark data or request a live demo, get in touch with the ICC team.
Bench Mark Reports:
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