Intel NCS2 (Myriad X): Security Prototype & Low-Power Inference Solution

Release & Industry Positioning

Intel Neural Compute Stick 2 (NCS2) was launched in November 2018, integrated with the Myriad X VPU (Vision Processing Unit). Positioned as a developer prototype validation and low-power edge inference accelerator, it is widely adopted for rapid validation of security video algorithms and small-scale deployment scenarios. Official release materials and tech media coverage confirm its strategy focused on fast prototyping and deployment.

Security Applications & Adoption

NCS2/Myriad X is commonly used for prototype development, model quantization validation, low-cost access control devices, face recognition terminals, and small edge inference boxes. While not designed for large-scale multi-camera concurrent processing, its convenience and low entry barrier are highly attractive in cost-sensitive scenarios or rapid prototype validation phases.

Product Lineup & Competitors

NCS2 belongs to the Intel Movidius VPU family, competing with Google Edge TPU, ARM+NPU modules, and other solutions in the "low-power edge inference" space. Compared to the NVIDIA Jetson series, NCS2 excels in low cost, plug-and-play functionality, and easy rapid deployment on existing x86 devices.

Key Upgrades Over Previous Generations

Compared to earlier Myriad VPU products, Myriad X (powering NCS2) adds a Neural Compute Engine hardware accelerator. This enhances DNN inference throughput, supports more network architectures, and significantly boosts CPU offloading capabilities—making it particularly suitable for security scenarios requiring rapid iteration and small-batch deployment.

Performance Comparison with Competitors

VS NVIDIA Jetson Nano/Xavier NX: NCS2 is far inferior in throughput and concurrency, but its low cost and development convenience make it ideal for prototypes and distributed low-cost nodes. VS Google Edge TPU: Both suit low-cost edge inference; the choice often depends on target frameworks (e.g., TensorFlow Lite) and model types.

Kingrole's Procurement Recommendations for NCS2

Kingrole advises clients adopting Neural Compute Stick 2 to consider the following:

•Evaluate Target Model & Framework Compatibility: NCS2 performs optimally within the OpenVINO ecosystem.

•Alternative Routes for Large-Scale Deployment: For large-scale concurrent inference, upgrading to solutions like Jetson or Orin is recommended.

•Secure Optimal Procurement Costs via Kingrole: NCS2 often requires rapid procurement during prototyping and early deployment; Kingrole offers prototype access and bulk discount channels.

Kingrole provides clients with NCS2 prototype procurement, bulk supply, and technical docking support, helping security projects quickly enter the validation and mass production phases.