Teledyne SP Devices Introduces High?Speed Disk Streaming with ADQ35 and Libads for Extreme Data Capture

Why It Matters

The offering removes a critical bottleneck in high‑frequency data acquisition, expanding the feasible scope of experiments and diagnostics across scientific and manufacturing sectors.

Key Takeaways

• ADQ35 delivers up to 10 GB/s sustained streaming
• libads provides open‑source API for custom pipelines
• PCIe‑NVMe integration reduces latency dramatically
• Supports continuous capture beyond terabyte thresholds
• Targets labs, aerospace, and semiconductor testing

Pulse Analysis

Teledyne SP Devices' new high‑speed disk‑streaming architecture addresses a long‑standing challenge in the data‑intensive research community: moving massive raw waveforms from digitizer to storage fast enough to avoid gaps. By pairing the ADQ35, a 16‑bit, 1.8 GS/s digitizer, with libads, an open‑source software stack, the company enables users to stream directly to PCIe‑NVMe drives at rates exceeding 10 GB/s. This eliminates the need for intermediate RAM buffers and complex FPGA‑based pipelines, lowering both hardware costs and development time.

The solution’s flexibility stems from libads' modular API, which lets engineers script custom data‑handling routines in Python or C++. Researchers can trigger recordings based on hardware events, apply real‑time compression, or route streams to multiple storage nodes without rewriting firmware. Such programmability is especially valuable in fields like particle physics, high‑speed imaging, and radar testing, where experiment parameters evolve rapidly and data volumes can reach petabytes in a single campaign.

Market impact is likely significant. As industries such as semiconductor manufacturing and autonomous vehicle testing demand ever‑higher sampling rates, the ability to capture and store data continuously becomes a competitive differentiator. Teledyne's approach not only shortens time‑to‑insight but also aligns with the broader trend toward open‑source tooling in scientific instrumentation, fostering broader adoption and community‑driven enhancements. Companies that adopt this technology can expect faster development cycles, reduced system complexity, and a clearer path to scaling their data acquisition capabilities.