Google Coral M.2 Accelerator BM Key
JPY 16650
Price Details
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The Coral M.2 Accelerator brings the Edge TPU ML accelerator to existing systems and products, capable of performing 4 trillion operations per second, using 2 watts of power.
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この商品の利点
製品詳細
| Brand | |
| Socket Type | M.2 B+M |
| Clock Speed | 4 TOPS |
| Processor Model | Google Edge TPU |
| Processor Type | Edge TPU coprocessor |
| Country of Origin | China |
| Item Weight | 0.15 lbs (70 grams) |
どんな人にお勧めですか?
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AI Developers
Ideal for developers building AI applications who need fast inference and machine learning capabilities at an affordable price.
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Edge Computing Users
Perfect for users implementing edge computing solutions where real-time data processing and analysis is crucial.
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IoT Projects
Beneficial for IoT project developers needing powerful processing capabilities to enhance their smart devices functionality.
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General Consumers
Not suitable for casual users looking for a simple plug-and-play device without complex setup or configurations.
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Budget-Conscious Users
May not be ideal for users on a tight budget, as costs for ongoing maintenance and tools can accumulate.
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High-End Gaming
Not recommended for gamers seeking high-performance graphics, as it focuses on machine learning rather than gaming specifications.
製品説明書
顧客の質問と回答
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質問:
What is the power consumption of the Coral M.2 Accelerator?
答え: The Coral M.2 Accelerator uses only 2 watts of power. -
質問:
What systems or products is the Coral M.2 Accelerator compatible with?
答え: The Coral M.2 Accelerator is compatible with embedded platforms, mini-PCs, and industrial gateways that have a compatible M.2 card slot. -
質問:
What models can the Edge TPU execute at high speed?
答え: The Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400 frames per second.
google Editorial Review
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JPY 16650
今すぐ注文すると 頃に届きます 金曜日, 7月 17
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
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特徴と利点
- Bring the Edge TPU ML accelerator to existing systems and products
- Capable of performing 4 trillion operations per second (4 TOPS)
- Power efficient: uses only 2 watts of power
- Reduces latency and increases data privacy
- Ideal for embedded platforms, mini-PCs, and industrial gateways
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