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Item #:
89592176
seeed studio Coral M.2 Accelerator BM Key
Item #:
89592176
AUD 99
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The on-board Edge TPU coprocessor is capable of performing 4 trillion operations per second, using only 0.5 watts for each TOPS.
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What Stands Out
High Performance
Equipped with a powerful Edge TPU, the Coral M.2 Accelerator delivers exceptional processing speed for machine learning tasks, significantly boosting performance in AI applications.
Versatile Compatibility
Designed to fit in B+M key M.2 slots, this accelerator is compatible with various devices, enabling easy integration into existing systems for enhanced computational capabilities.
Energy Efficient
The Coral M.2 Accelerator operates with low power consumption, providing a cost-effective solution for AI processing without sacrificing performance, ideal for edge devices and remote applications.
Product Details
| Item Weight | 0.2 lbs (90 grams) |
Who Should Buy?
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AI Developers
Perfect for developers looking to create machine learning applications with enhanced processing speed and efficiency.
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IoT Enthusiasts
Ideal for Internet of Things projects requiring powerful edge computing for real-time data processing.
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Embedded Systems
Great for integrating AI functionalities into embedded systems and custom hardware solutions provisioning.
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Casual Users
Not suitable for users without technical expertise in machine learning or hardware integration.
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Budget-Conscious
May be too expensive for those seeking basic processing power for standard computing tasks.
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General Computing
Not recommended for general everyday tasks as it’s optimized for machine learning workloads specifically.
Product Description
seeed studio Coral M.2 Accelerator BM Key
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Customer Questions & Answers
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Question:
What is the Coral M.2 Accelerator BM Key?
Answer: The Coral M.2 Accelerator BM Key is a powerful hardware accelerator designed for machine learning tasks. It features a custom ASIC designed to significantly enhance the performance of AI models on edge devices. With its high processing power, it enables real-time inference, making it ideal for applications such as computer vision and natural language processing. -
Question:
How does the Coral M.2 Accelerator BM Key improve processing speed?
Answer: By integrating a purpose-built ASIC, the Coral M.2 Accelerator BM Key provides specialized computation that accelerates inference times. Unlike general-purpose CPUs, ASICs are optimized specifically for machine learning workloads, allowing for faster processing. This results in reduced latency and increased throughput, making it a preferred choice for developers looking to optimize their AI applications. -
Question:
What devices are compatible with the Coral M.2 Accelerator BM Key?
Answer: The Coral M.2 Accelerator BM Key is compatible with various platforms that support M.2 slots, including certain single-board computers, laptops, and custom-built PCs. It's essential to ensure that the device's motherboard supports the M.2 interface. This compatibility allows users to leverage the accelerator for enhanced machine learning capabilities across different systems. -
Question:
What are the main applications of the Coral M.2 Accelerator BM Key?
Answer: The main applications include real-time object detection, image classification, and speech recognition tasks. Its ability to accelerate AI computations makes it suitable for industries such as robotics, security, and smart devices. Developers can implement the accelerator in projects that require quick data processing and inference, such as autonomous vehicles or smart surveillance systems. -
Question:
What programming frameworks are supported by the Coral M.2 Accelerator BM Key?
Answer: The Coral M.2 Accelerator BM Key is compatible with TensorFlow Lite, a lightweight version of TensorFlow designed for mobile and edge devices. This support allows developers to deploy pre-trained models easily and optimize them for performance on the accelerator. As a result, projects can efficiently utilize machine learning capabilities without needing extensive background in hardware optimization. -
Question:
Does the Coral M.2 Accelerator BM Key require additional cooling?
Answer: While the Coral M.2 Accelerator BM Key is designed to operate efficiently, active cooling methods are recommended, especially in high-performance scenarios. When running demanding AI tasks, the accelerator can generate heat, which may impact performance if not managed properly. Users should consider using heat sinks or fans to maintain optimal operating temperatures during intensive workloads. -
Question:
Can I use the Coral M.2 Accelerator BM Key for edge computing?
Answer: Yes, the Coral M.2 Accelerator BM Key is specifically designed for edge computing applications. Its compact form and high-performance capabilities allow it to process data locally rather than relying on cloud services, thereby reducing latency and improving privacy. This is especially beneficial for IoT devices and systems that require real-time decision-making based on sensor data. -
Question:
How can I get started with the Coral M.2 Accelerator BM Key?
Answer: Getting started involves setting up the accelerator with a compatible device, installing necessary software like TensorFlow Lite, and deploying your AI models. Coral provides comprehensive documentation and sample projects to guide you through the installation and configuration process. This resource-rich environment makes it straightforward for developers to start building and optimizing their machine learning applications. -
Question:
What is the power consumption of the Coral M.2 Accelerator BM Key?
Answer: The Coral M.2 Accelerator BM Key is designed for efficient operation, typically consuming around 3 to 7 watts during peak usage. Its low power consumption is beneficial for edge devices, helping extend their battery life while still delivering powerful performance for AI tasks. This efficiency makes it an excellent choice for projects in energy-sensitive environments. -
Question:
Where can I buy the Coral M.2 Accelerator BM Key in Nauru?
Answer: You can purchase the Coral M.2 Accelerator BM Key through Ubuy, which offers a wide selection of electronics and hardware products. Ubuy provides convenient access to this advanced hardware accelerator, allowing you to enhance your machine learning capabilities with ease.
seeedstudio Editorial Review
** Coral M.2 Accelerator BM Key** The Coral M.2 Accelerator BM Key has garnered positive feedback from users primarily involved in AI object detection for security camera systems, particularly those running Frigate NVR setups. Customers appreciate the device's remarkable ability to enhance performance metrics, significantly reducing CPU load while speeding up object detection processes. For example, one user noted an impressive drop in detection time from over 400 milliseconds to under 20 milliseconds with the addition of the accelerator, demonstrating its effectiveness in a real-world application. Most users have reported successful integration of the Coral M.2 with various setups, including older PC models lacking high-performance GPUs. The device's compact form factor fits neatly into existing hardware configurations and runs efficiently via PCIe, which is seen as advantageous over the USB version due to reduced latency. Moreover, the affordability of the module, priced around $35, contributes to its appeal, especially when Considering the significant improvements it offers for monitoring multiple high-resolution camera feeds simultaneously. However, the product isn't without its criticisms. There are concerns regarding the long-term support and updates from the manufacturer, which some users fear may impact the reliability of the device going forward. Additionally, a few users have expressed disappointment about the strength of the community as well as the lack of inventive use cases surrounding the product, indicating that it may feel somewhat neglected. Overall, the Coral M.2 Accelerator BM Key appears to be a highly effective tool for enhancing AI capabilities in home and professional surveillance systems, albeit with some reservations regarding potential future support. **
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Pros
- Significant reduction in object detection time (e.g., from 400ms to less than 20ms)
- Works well with Frigate NVR and other AI applications
- Low CPU load while handling multiple high-res camera streams
- Compact form factor fits into existing hardware setups
- Affordable price point for the performance benefits offered
Cons
- Concerns about long-term support and updates from Google
Product Price History
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Features & Benefits
- Achieves 4 TOPS with only 0.5 watts per TOPS.
- Executes MobileNet v2 at an impressive 400 FPS.
- Compatible with any Debian-based Linux system.
- Supports TensorFlow Lite for easy model integration.
- Enables fast custom image classification with AutoML Vision Edge.
- Power-efficient design for high-performance ML inferencing.