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MA2450
MA2450
| Part Number | MA2450 |
|---|---|
| Manufacturer | Intel / Movidius |
| Category | Integrated Circuits (ICs) > Processors > Vision Processing Units (VPU) |
| Description | Ultra-low power Myriad 2 VPU (Vision Processing Unit) for embedded AI and machine vision applications, delivering high-performance neural network inference with 4GB LP-DDR3 memory. |
Product Overview
The MA2450 is the Intel Movidius Myriad 2 Vision Processing Unit (VPU), a heterogeneous multi-core SoC designed for ultra-low-power embedded artificial intelligence and machine vision. Manufactured by Movidius (later acquired by Intel), this chip combines 12 programmable VLIW DSP cores with dedicated hardware accelerators for computer vision and deep learning. Operating at 600–933 MHz with 4GB LP-DDR3 memory, it delivers efficient AI inference at power levels as low as 500mW (typical) or 1.5W–2.5W in complex facial recognition applications.
Core Advantages
Ultra-Low Power, High Performance
Operating at just 500mW typical power consumption (1.5W–2.5W for complex tasks), the MA2450 balances performance and efficiency. Its specialized architecture enables advanced deep learning inference without draining device batteries, making it ideal for portable and always-on applications.
Dedicated Vision & Neural Accelerators
The Myriad 2 architecture integrates 12 programmable VLIW DSP cores and dedicated hardware blocks for image processing, feature extraction, and neural network acceleration. This allows it to run advanced computer vision algorithms with minimal latency.
Compact Embedded Integration
Housed in a VF2BGA270 package (9.5mm × 8.0mm), the MA2450 is designed for space-constrained systems. It is widely used in the Intel Neural Compute Stick and embedded AI devices.
Optimized for Edge AI Deployment
Supporting frameworks like Caffe and TensorFlow, the chip allows developers to deploy pre-trained models directly to edge devices. This eliminates the need for cloud connectivity, enabling offline, real-time processing.
Key Specifications
| Brand | Intel / Movidius |
|---|---|
| Process Technology | 28 nm CMOS |
| Core Architecture | Myriad 2 (12 × VLIW VDSP Cores) |
| Base Frequency | 600 MHz – 933 MHz |
| Memory Configuration | 4GB LP-DDR3 (32-bit, 733 MHz) |
| Package Form | VF2BGA270 (9.5mm × 8.0mm) |
| Surface Marking / Silkscreen | MA2450 Marking |
| Typical Power Consumption | 500 mW (Idle) / 1.5W – 2.5W (Full Load) |
| Operating Temperature Range | -40°C to +105°C (Industrial Grade) |
| Application Targets | Embedded AI, Computer Vision, Edge Computing |
| Production Status | Discontinued (EOL) |
| Warranty | 1-Year Standard Factory Warranty |
Typical Applications
- Embedded AI Cameras and Smart Security Systems
- Unmanned Aerial Vehicles (UAVs) and Robotics Vision
- Wearable Devices and IoT Edge Nodes
- Smart Door Locks and Facial Recognition Systems
- AR/VR Devices (e.g., Project Tango)
- Development Platforms like the Intel Neural Compute Stick
Order & Shipping Info
| Minimum Order Quantity (MOQ) | 1 Piece |
|---|---|
| Shipping Time | Shipped within 1-2 business days |
| Delivery Time | 3-7 working days worldwide |
| Shipping Methods | DHL, UPS, FedEx, EMS |
| Payment Methods | T/T (Bank Transfer), PayPal, Credit Card, Western Union |
Technical Support
For datasheet, sample requests, stock check, or bulk pricing, please use the Quick Inquiry form. We will reply within 24 hours.
Frequently Asked Questions
Q1: Is the MA2450 a genuine Intel/Movidius part?
A: Yes, we supply original MA2450 VPU chips from Intel/Movidius, with verified traceability and full quality assurance.
Q2: What is the typical power consumption of this chip?
A: The MA2450 typically consumes 500mW at idle, rising to 1.5W–2.5W under full load for complex tasks like facial recognition.
Q3: Can this chip run TensorFlow or Caffe models?
A: Yes, the Myriad 2 architecture supports common deep learning frameworks like Caffe and TensorFlow, optimized via the Intel Neural Compute SDK.
Q4: Is the MA2450 still in production?
A: The MA2450 is marked as Discontinued (EOL) by Intel but remains available for industrial and embedded system applications. Contact us for current stock availability.
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