QNAP
SKU: QXP-T32P
Overview
QNAP MUSTANG-V100-MX8-R11 PCIe AI Vision Accelerator CardOverviewThe MUSTANG-V100-MX8-R11 is a PCIe-based compute accelerator card built around Intel …
Manufacturer-verified compatible cameras, recorders, mounts, accessories, and licenses for this product. Adjust quantities and add the entire bundle to your cart in one click.
Overview
Questions about this product? Free pre-sales support from a senior specialist — product questions, compatibility checks, BOM quotes, price confirmation — typically answered within one business day. Need camera placement or system design work? Engineering time is $175 per hour (qty 1 = 1 hour). Hardware buyers get up to one hour ($175) credited back on their order.
The MUSTANG-V100-MX8-R11 is a PCIe-based compute accelerator card built around Intel Movidius Vision Processing Units (VPUs), designed to offload demanding computer vision and AI inference workloads from the host CPU. With 8 VPU cores on a single card, it targets deployments where real-time video analytics — object detection, classification, and similar deep learning pipelines — need dedicated silicon rather than general-purpose CPU cycles. If your NAS or server is bottlenecking on analytics throughput, this card slots into a PCIe lane and takes that load off the host. For a deeper look at the broader QNAP compute and storage catalog, the full line covers NAS, expansion, and edge AI hardware.
Designed for use with QNAP systems running QTS. The QNAP TS-2888X NAS supports up to 8 cards installed simultaneously, making it the primary validated host platform for high-density VPU deployments. Systems running operating systems other than QTS can support up to 16 cards per host, which matters for integrators building Linux-based inference servers rather than NAS-appliance deployments. This card is part of the Mustang-V100 accelerator family — distinct from the Mustang-F100, which handles audio and signal processing in addition to video; the V100 is video-inference-only, which also means lower power draw per card. If your pipeline requires audio or signal analytics, the F100 is the correct variant. For pairing with compatible network video recorders or AI-capable NAS platforms, confirm PCIe slot availability and power budget before ordering.
The card measures 169.54 mm x 80.05 mm x 23.16 mm — verify clearance in your chassis before installation, particularly in compact or blade-style enclosures. Active cooling is provided by a 47 x 47 x 9.4 mm fan; ensure adequate airflow in the host bay to avoid thermal throttling under sustained inference loads. Power is supplied via a PCIe 6-pin 12V external connector in addition to the PCIe slot itself — confirm your host or external power harness has a free 6-pin connector. A DIP switch and LED indicator are present on the card for configuration and status monitoring. For AI-enabled camera deployments feeding inference into a QNAP host, plan cabling and switch capacity before commissioning the accelerator stack.
Manufacturer-verified compatible cameras, recorders, mounts, accessories, and licenses for this product. Adjust quantities and add the entire bundle to your cart in one click.
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