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Intel

Intel NCSM2450.DK1 Movidius Neural Compute Stick AI Deep Learning

★★★★★3.8 (43 reviews)

Plug-in USB neural network accelerator that brings deep learning inference to edge devices without cloud connectivity.

$59.00*
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*Price sourced from Amazon.com. Last updated:Jul 14, 2026.Price and availability are subject to change.

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Overview

The Intel Movidius Neural Compute Stick (NCSM2450.DK1) is a purpose-built USB device that brings deep learning inference to the edge. Powered by the Intel Myriad 2 Vision Processing Unit, it allows developers to prototype, tune, validate, and deploy convolutional neural networks directly on local hardware — no cloud connection required. Simply plug the stick into a USB port on a Linux host, load your trained model, and begin running real-time inference for tasks such as image recognition, object detection, and scene classification.

The fanless, self-cooled design draws power entirely from the USB bus, eliminating the need for external power supplies, heatsinks, or cables. This makes it well suited for integration into compact edge devices like drones, IoT gateways, and embedded systems where size, weight, and power consumption are critical constraints. The stick works with the Intel Neural Compute SDK (NCSDK), which provides tools for profiling, compiling, and deploying models built in popular frameworks. For developers exploring AI at the edge, the Movidius Neural Compute Stick offers an accessible and cost-effective platform to move from concept to deployment.

Key Features

Neural Network Accelerator in USB Stick Form Factor

Real-time on-device inference; no cloud connectivity required

No additional heat-sink, no fan, no cables, no additional power supply

Prototype, tune, validate and deploy deep neural networks at the edge

Specifications

Brand
Intel
Model
NCSM2450.DK1
Processor
Myriad 2 VPU (Atom)
Form Factor
USB Stick
Interface
USB
Supported OS
Linux
Cloud Required
No
External Power Required
No
Cooling
Fanless, no heatsink required
Included Components
USB Stick

Pros & Cons

👍 Pros

  • Compact USB stick form factor makes it highly portable and easy to integrate into edge devices.
  • Performs on-device inference with no cloud dependency, reducing latency and privacy concerns.
  • Requires no external power supply, fan, or heatsink — fully bus-powered via USB.
  • Supports prototyping, tuning, and validation of deep neural networks before edge deployment.
  • Scalable by connecting multiple sticks to a single host for increased throughput.

👎 Cons

  • Limited to Linux operating system support, excluding Windows and macOS users.
  • Inference-only device — cannot be used for training neural networks.
  • Performance is constrained by the Myriad 2 VPU, which may lag behind newer dedicated AI accelerators.
  • USB 2.0/3.0 bandwidth can bottleneck data transfer for high-throughput workloads.

Frequently Asked Questions

The stick is designed to accelerate deep neural network inference tasks, including image classification, object detection, and other vision-based AI workloads. It supports frameworks like Caffe and TensorFlow through the Intel NCSDK.
No. The device performs all inference locally on its built-in Myriad 2 VPU, so no cloud connectivity is needed once your model is loaded onto the stick.
The Movidius Neural Compute Stick officially supports Linux. It connects via a standard USB port and does not require an additional power supply.
Yes. Multiple sticks can be connected to a single host system to scale inference throughput, which is useful for prototyping multi-device edge deployments.

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