Enable Real-Time AI for High-Speed Data Acquisition with DAQIRI | NVIDIA Technical Blog - NVIDIA Developer

NVIDIA's DAQIRI (Data Acquisition for Integrated Real-time Instruments) addresses bottlenecks in high-speed data acquisition by shifting from rigid hardware-centric to flexible software-defined archit... Read original →

DAQIRI’s launch signals a paradigm shift from hardware-locked to software-defined data acquisition, triggering a cascade across the edge AI stack: GPU+DPDK now directly challenges FPGA dominance in ultra-low-latency preprocessing, especially in high-energy physics and industrial inspection. Compliance risks loom as reliance on RoCE v2 and GPUDirect may face tighter U.S. export controls, raising integration costs for Chinese firms and accelerating domestic alternatives. Competitively, AMD could counter with Alveo-enhanced SmartNICs, while Intel will likely push oneAPI integration with Tiber Creek FPGAs to retain scientific computing footholds. Within 18 months, real-time AI pipelines will become mandatory in premium instrumentation, forcing sensor vendors to expose raw data interfaces and catalyzing an ‘AI-aware DAQ’ standard—equipment makers in Taiwan, China and mainland China risk exclusion from next-gen research infrastructure if they fail to embed Holoscan-like inference capabilities.