We deploy your custom AI model directly onto FPGA fabric — not a generic accelerator. Built on a novel architecture purpose-built for inline processing, UFAIRA FPGAs deliver sub-microsecond inference latency that outperforms all state-of-the-art technologies. Send input, receive inference — via PCIe, analog sensors, or Ethernet.
Unlike generic AI accelerators, we synthesize your specific model into FPGA hardware logic. There's no inference runtime, no CPU scheduler — just your model, fully implemented onto the FPGA fabric. We implement the model data-rate-aware resulting in extremely low latency. This architecture beats the state-of-the-art in every metric — latency, throughput, determinism, and power efficiency. These findings are verified over and over again, proving our superiority for real-time applications where every microsecond counts.
Send us your trained neural network — PyTorch, ONNX, TensorFlow. We analyze architecture and precision requirements. Or, we develop and train custom models for your specific use case.
Our toolchain synthesizes your model and implements your model on the FPGA.
Your hardware ships ready. Connect via PCIe or Ethernet, send inputs, receive results. Sub-microsecond, every time.
Any application where microseconds are too slow.
React to market microstructure with your custom AI model faster than any system on the market. Sub-microsecond model inference on streaming tick data.
Classify, filter, or anomaly-detect network packets at line rate — 100Gb/s — with zero added jitter. Always deterministic.
Sensor-to-actuator inference loops with deterministic timing. Safe, fast response for autonomous systems under real-world constraints.
Process raw radar returns or LiDAR point clouds at ingestion speed, with no buffering delay before inference.
AI-enhanced PHY processing and anomaly detection tightly integrated with the radio front-end — no cloud round-trips. Right at the edge.
Detect threats, malicious payloads, or DDoS patterns the moment packets arrive — before they enter the network.
Tell us about your application, model and latency requirements. We'll be in touch soon.