
Intel NCSM2485.DK Neural Compute Stick 2 - AI Accelerator
Intel Neural Compute Stick 2: Accelerate Your AI Prototyping The Intel Neural Compute Stick 2 (NCS 2) enables rapid prototyping of deep neural network applications. Powered by the Intel Movidius Myriad X VPU and supported by the Intel Distribution of OpenVINO Toolkit, the NCS 2 offers enhanced p...
Check availabilityNotice a mistake? Let Us Know
Overview
Intel Neural Compute Stick 2: Accelerate Your AI Prototyping
The Intel Neural Compute Stick 2 (NCS 2) enables rapid prototyping of deep neural network applications. Powered by the Intel Movidius Myriad X VPU and supported by the Intel Distribution of OpenVINO Toolkit, the NCS 2 offers enhanced performance and efficiency for computer vision and AI at the edge.
Specifications:
- Processor: Intel Movidius Myriad X VPU
- Support: Intel Distribution of OpenVINO Toolkit
- Interface: USB
- Dimensions: 1.06 x 0.55 x 2.85 inches
- Item Weight: 0.64 ounces
Key Features
Deep learning prototyping is now available on a laptop, a single board computer or any platform with a USB port
Accessible and affordable—take advantage of more performance per watt and highly efficient fanless design
Combines the hardware-optimized performance of the newest Intel Movidius Myriad X VPU and the Intel Distribution of OpenVINO Toolkit to accelerate deep neural network-based applications
Specifications
Pros & Cons
👍 Pros
- Enables deep learning prototyping directly on common platforms such as laptops or single board computers via USB.
- Offers enhanced performance per watt, indicating efficient power consumption for its acceleration capabilities.
- Features a highly efficient fanless design, contributing to silent operation and potentially lower maintenance.
- Integrates the Intel Movidius Myriad X VPU for hardware-optimized acceleration of deep neural networks.
- Leverages the Intel Distribution of OpenVINO Toolkit, providing a comprehensive software stack for AI development.
👎 Cons
- Requires a platform with a USB port for connectivity, which might limit integration in some embedded or custom systems.
- While affordable, it functions as an accelerator and does not replace a primary computing unit for general tasks.
- The focus is on deep learning prototyping, suggesting it may not be optimized for large-scale, production-level AI deployments.
- Specific performance benchmarks relative to its power consumption are not provided, making direct comparisons challenging.
- The device's capabilities are largely dependent on the Intel Distribution of OpenVINO Toolkit, requiring familiarity with this ecosystem.