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Varixen
ULTRA-LOW LATENCY HFT AI

AI Solutions for High Frequency Trading (HFT)

Capture microsecond market advantages with sub-millisecond AI signal models, FPGA-accelerated execution, and low-latency order routing.

Gain a quantitative edge in ultra-low latency markets. Varixen designs specialized AI systems for quantitative hedge funds and high-frequency trading desks—combining market microstructure ML models with FPGA/GPU acceleration and sub-microsecond order execution.

INDUSTRY OUTCOMES

<5µs

Inference Latency

99.999%

System Reliability

1M+

Tick Signals Processed / Sec

Domain-certified compliance & enterprise data governance
INDUSTRY PAIN POINTS

Operational friction we eliminate

Extreme Latency Sensitivity

Order routing delays of just 1 microsecond can turn a profitable arbitrage trade into a loss.

High-Noise Market Microstructure

Extracting genuine price predictive signals from gigabytes of order book tick data per second.

Risk & Capital Preservation

Real-time risk limits must be enforced deterministically without adding latency.

TAILORED AI SOLUTIONS

Specialized capabilities built for AI Solutions for High Frequency Trading (HFT)

Signal AI

Microstructure Signal Neural Networks

Sub-microsecond neural networks predicting order book imbalance and short-term price tick direction.

FPGA Acceleration

FPGA & C++ Model Quantization

Synthesize ML models into FPGA RTL hardware code or ultra-optimized C++ AVX-512 routines.

L3 Data

Real-Time Order Flow Imbalance

Analyze Level-3 order book depth and queue positions to anticipate liquidity shifts.

Risk Engine

Sub-Microsecond Risk Management

Hardware-enforced kill switches and position limits integrated directly into exchange NICs.

RL Execution

Reinforcement Learning Execution

Optimal execution algorithms (TWAP/VWAP) minimizing market impact and slippage.

News Signals

Alternative Data Sentiment Extraction

Parse financial news wire streams and economic releases in sub-10ms for instant positioning.

IMPLEMENTATION ROADMAP

Deployment methodology

Phase 01

Direct Exchange Feed Handshake

Capture raw ITCH/OUCH exchange binary feeds via Solarflare kernel-bypass network cards (OpenOnload).

Phase 02

FPGA Hardware Inference

Execute quantized neural network weights directly on Xilinx/AMD FPGA chips in <2 microseconds.

Phase 03

Hardware-Enforced Risk Check

Validate order price and max position limits in 200 nanoseconds before passing to exchange socket.

Phase 04

Co-Located Execution Relay

Transmit order packet via fiber cross-connect directly inside Equinix NY4 / LD4 data centers.

ECOSYSTEM & TECH STACK

Integrations & technologies

Hardware & Acceleration

AMD Xilinx FPGAsSolarflare OnloadAVX-512NVIDIA TensorRT

Low-Latency Code

Modern C++ (C++20/23)SystemVerilogCUDALinux Kernel Bypass

Exchange Protocols

FIX ProtocolITCH / OUCHBinary SBEPTP (Precision Time)
PROOF OF OUTCOME

Enterprise success story

Quantitative Prop Trading Firm

The Challenge

C++ CPU inference latency of 45 microseconds caused slippage in competitive order book queues.

The AI Solution

Re-architected signal models into custom FPGA logic deployed directly on Solarflare NICs.

Measured Result: Reduced signal-to-order latency from 45µs to 3.8µs
FAQ

Frequently asked questions

How do you achieve sub-microsecond AI inference?

We bypass standard operating systems using C++ kernel-bypass libraries (Solarflare OpenOnload) and compile neural network layers directly into SystemVerilog code running on FPGAs.

Where are these systems deployed?

We deploy directly into exchange co-location data centers (Equinix NY4 in Secaucus, LD4 in Slough, TY3 in Tokyo) with direct fiber cross-connects.

Ready to build what's next?

Schedule a 1-on-1 Digital Transformation Strategy Call with our leadership team to accelerate your technology roadmap.