UP AI CORE X Neural Network Accelerator
Unlock the power of AI at the edge with the UP AI CORE X, a compact neural network accelerator designed for demanding applications. Leveraging the Intel Movidius Myriad X VPU, it delivers exceptional deep learning performance, capable of up to four trillion operations per second. Its dedicated Neural Compute Engine and low power consumption make it ideal for real-time AI processing without cloud reliance. This accelerator supports industry-standard AI software and offers flexible deployment options with its mPCIe and M.2 form factors, ensuring seamless integration into your projects.
$115.00
Owner Satisfaction
4.4
/ 5
Category Rank
451
/ 1154
#451 in Computer Interface Cards & Adapters
Price vs Category Average
-80%
Below average
Architecture
2485
/ Movidius™ Myriad™ X (VPU)
Who it's for
- High Parallel Inference Density
- Compact M.2 Form Factor
- Optimized OpenVINO Ecosystem
Who should skip it
- Limited to Inference Tasks
- Hardware-Specific Optimization
- Performance Ceiling for Large Models
Key Specs
Architecture
Movidius™ Myriad™ X 2485 (VPU)
Chipset Model
Intel
Manufacturing Process
16 nm FFC (TSMC) for Myriad X
Power Efficiency
1 TOPS @ 3 Watt TDP per Movidius™ Myriad™ X 2485
Onboard Memory
4 Gbits LPDDR4
AI Core X Form Factor
mPCIe (24 x 42 mm)
AI Core XM 2280 Form Factor
M.2 2280 M+B key (22 x 80 mm)
AI Core XM 2280 Thermal Solution
Heatsink with active fan
Features
- Dedicated neural compute engine for deep learning
- Achieves 10X performance over previous generations
- Extremely low power consumption for edge AI
- Ready for deployment in multiple form factors
- Supports industry-standard AI software tools
- Powered by Intel Movidius Myriad X VPU
- Handles heavy computational lifting at the edge
- Up to four trillion operations per second
What customers say
Professional developers highly value the UP AI CORE X for its exceptional performance and power efficiency in edge computing. Leveraging the Myriad X VPU, it delivers robust, low latency AI inference crucial for real time applications like video analytics in embedded systems, effectively offloading the main processor. Integration with the existing UP ecosystem is seamless, simplifying deployment. While the device offers substantial value and reliability for demanding industrial IoT tasks, less experienced users note a steep learning curve associated with the specialized toolchain and OpenVINO toolkit required to maximize its potential. Overall, it is a top tier solution for its dedicated audience.
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