UP AI Core powered by AI CORE Movidius Myriad 2 VPU 2450

The UP AI Core is a specialized AI accelerator development board powered by the Intel Movidius Myriad 2 Vision Processing Unit, designed for deploying deep learning inference at the edge with minimal power consumption. Machine learning engineers, embedded systems developers, and robotics professionals use this platform to prototype and deploy computer vision models, object detection algorithms, and neural network inference applications in resource-constrained environments. This product solves the critical challenge of running AI workloads locally on edge devices without cloud dependency, enabling real-time processing with latency under 50ms while consuming less than 1W of power.

Product Overview

The UP AI Core leverages the Movidius Myriad 2 VPU architecture, which features a specialized vision processing pipeline optimized for convolutional neural networks and machine learning tasks. The VPU employs a heterogeneous compute design with 12 SHAVE (Streaming Hybrid Architecture Vector Engine) cores that execute parallel vector operations, combined with dedicated hardware accelerators for image processing, depth computation, and neural network operations. This architecture eliminates the bottlenecks of traditional CPU-based inference by processing multiple data streams simultaneously, achieving throughput rates up to 4 TFLOPS for 16-bit operations while maintaining exceptional power efficiency through dynamic voltage and frequency scaling.

The Myriad 2 VPU integrates 2MB of on-chip SRAM for fast data access, supporting frameworks like TensorFlow, Caffe, and MXNet through the Intel OpenVINO toolkit. The UP AI Core board includes USB 3.0 connectivity for high-speed data transfer, making it ideal for applications requiring real-time video processing, autonomous navigation, industrial quality inspection, and smart surveillance systems. The platform supports quantization-aware training and model optimization tools that reduce neural network complexity by 10-100x, enabling deployment of state-of-the-art models like MobileNet, SSD, and YOLO variants on edge devices with minimal accuracy loss.

Key Specifications

Specification	Details
Product Type	AI Accelerator Development Board with Vision Processing Unit
Brand	UP Board / Intel Movidius
Processor	Intel Movidius Myriad 2 VPU with 12 SHAVE cores
Computing Performance	4 TFLOPS (16-bit floating point)
Memory	2MB on-chip SRAM, supports external DDR3
Power Consumption	Less than 1W typical operation
Connectivity	USB 3.0, PCIe interface
Supported Frameworks	TensorFlow, Caffe, MXNet via OpenVINO toolkit
Operating Temperature	0 to 40 degrees Celsius
Origin	Original/Authentic
Warranty	7 days on manufacturing defects
Shipping	1-5 days from Bengaluru
Delivery	7-8 days across India
Support	24/7 via Email and WhatsApp

Key Features

• 12 SHAVE cores enabling parallel vector processing for simultaneous execution of multiple neural network operations with throughput optimization
• Ultra-low power consumption under 1W making it suitable for battery-powered IoT devices, drones, and mobile robotics applications
• Intel OpenVINO toolkit integration providing pre-optimized model zoo with quantized versions of ResNet, MobileNet, and YOLO for immediate deployment
• USB 3.0 high-speed interface supporting real-time video streaming at 4K resolution with minimal latency for live inference applications
• On-chip SRAM with intelligent cache management reducing external memory bandwidth requirements by 60-70 percent
• Hardware-accelerated image processing pipeline supporting ISP functions like demosaicing, color space conversion, and histogram equalization

Applications and Use Cases

• Autonomous robotics and drone navigation using real-time object detection and SLAM algorithms with sub-50ms latency for obstacle avoidance
• Industrial quality inspection systems processing high-resolution camera feeds for defect detection in manufacturing lines with 99.2 percent accuracy
• Smart surveillance and video analytics detecting anomalies, crowd counting, and person re-identification at edge without cloud transmission
• Medical imaging analysis for portable ultrasound, X-ray analysis, and pathology slide scanning in resource-limited healthcare settings
• Agricultural monitoring using multispectral imaging for crop health assessment, pest detection, and precision irrigation optimization
• Augmented reality applications requiring real-time pose estimation, hand gesture recognition, and environmental understanding on mobile devices

How to Use

Begin by installing the Intel OpenVINO toolkit on your host machine running Linux, Windows, or macOS. Download pre-trained models from the OpenVINO model zoo or convert your existing TensorFlow or Caffe models using the Model Optimizer tool, which performs quantization and layer fusion to optimize for Myriad 2 architecture. Connect the UP AI Core board via USB 3.0 to your development machine and install the required device drivers and inference engine libraries from the OpenVINO package.

For deployment, write your inference application using the OpenVINO Inference Engine API in C++ or Python, specifying the Myriad device as the target. Load your optimized model, prepare input data from camera feeds or image files, and execute inference using the synchronous or asynchronous API depending on your latency requirements. The VPU automatically manages memory allocation and scheduling across SHAVE cores. For production deployments, compile your application with cross-compilation toolchains and deploy directly on edge devices like UP boards or industrial controllers with PCIe connectivity to the Myriad 2 accelerator.

Frequently Asked Questions

What is the difference between Movidius Myriad 2 and newer VPUs like Myriad X?

The Myriad 2 VPU delivers 4 TFLOPS with 12 SHAVE cores and is optimized for cost-sensitive edge deployments with excellent power efficiency. Myriad X offers higher performance at 8 TFLOPS with additional features like hardware-accelerated H.264 encoding, but at increased power consumption and cost. For applications requiring sub-1W operation like battery-powered IoT devices, Myriad 2 remains the optimal choice. Both support OpenVINO toolkit, so model compatibility is maintained across generations.

Can I run multiple neural networks simultaneously on the UP AI Core?

Yes, the 12 SHAVE cores can be partitioned to execute multiple models in parallel or sequentially depending on your application requirements. The OpenVINO Inference Engine supports multi-network inference with intelligent scheduling. However, total throughput is bounded by the 4 TFLOPS compute budget, so you must balance model complexity, batch size, and latency requirements. For example, you can run a lightweight MobileNet detector alongside a pose estimation network if combined FLOP requirements stay within the VPU capacity.

What model quantization strategies work best with Myriad 2?

The Myriad 2 VPU natively supports INT8 quantization, which reduces model size by 4x and improves inference speed by 2-3x compared to FP32 with minimal accuracy loss. The OpenVINO Model Optimizer performs post-training quantization automatically, or you can use quantization-aware training during model development for superior accuracy. For models requiring higher precision, FP16 quantization offers a middle ground with 2x compression and 1.5x speedup. Most production deployments use INT8 quantization achieving 98-99 percent of original model accuracy.

When will I receive my order?

Orders are dispatched within 1-5 business days from our Bengaluru warehouse. Delivery takes 7-8 days to most locations across India.

What is your return and warranty policy?

We offer a 7-day return policy on manufacturing defects only. Contact support within 7 days of receipt for free replacement or full refund. Not applicable for user damage or misuse.

Are bulk discounts available?

Yes, wholesale pricing for orders of 10 or more units. Contact our sales team via WhatsApp or email for a customized bulk quote.

Why Buy from The Engineer Store

• Genuine Products: Sourced directly from authorized distributors with authentication
• Expert Team: Our technical team validates every product before listing
• Fast Shipping: Dispatched within 1-5 days from our Bengaluru warehouse
• Pan-India Delivery: 7-8 days to Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata
• Payment Options: COD, UPI, credit/debit cards, net banking, EMI available
• Technical Support: 24/7 expert guidance via email and WhatsApp
• Returns: 7-day return policy on manufacturing defects only

Buy UP AI Core powered by AI CORE Movidius Myriad 2 VPU 2450 Online in India

Purchase the UP AI Core powered by AI CORE Movidius Myriad 2 VPU 2450 online at The Engineer Store, India's trusted source for genuine electronics. We deliver across Bengaluru, Mumbai, Delhi, Chennai, Hyderabad, Pune, Kolkata, Ahmedabad, Jaipur, and Surat. Get the best price on UP AI Core powered by AI CORE Movidius Myriad 2 VPU 2450 with fast shipping and expert support.

Our team in Bengaluru is available 24/7 to support your journey from product selection to project completion.