- Expected Price (Rs)
- 5500
- Shipping from
- Chennai
- Item Condition
- Unsealed Brand New
- Payment Options
- Bank Transfer
- Purchase Date
- Dec 10, 2024
- Shipping Charges
- Excluded - at actuals
- Have you provided two pics?
- Yes
- Remaining Warranty Period
- 0
- Invoice Available?
- No
- Reason for Sale
- Bought for project, but project taken up with GPU based solution so this is left alone and sitting so selling for a quick buck
Bought this for a quick object detection project then opted to go with video card solution
currently looking to sell it off for a quick buck
So project not done with this so its brand new still
TPU, cable and box available, bill not available
Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way.
Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator.
Edge TPU key benefits:
High speed TensorFlow Lite inferencing
Low power
Small footprint
Features
Google Edge TPU ML accelerator coprocessor
USB 3.0 Type-C socket
Supports Debian Linux on host CPU
Models are built using TensorFlow. Fully supports MobileNet and Inception architectures though custom architectures are possible
Compatible with Google Cloud
Specifications
Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM
Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
Included cable is USB Type-C to Type-A
Coral, a division of Google, helps build intelligent ideas with a platform for local AI.
currently looking to sell it off for a quick buck
So project not done with this so its brand new still
TPU, cable and box available, bill not available
Coral USB Accelerator brings powerful ML (machine learning) inferencing capabilities to existing Linux systems. Featuring the Edge TPU, a small ASIC designed and built by Google, the USB Accelerator provides high performance ML inferencing with a low power cost over a USB 3.0 interface. For example, it can execute state-of-the-art mobile vision models, such as MobileNet v2 at 100+ fps, in a power-efficient manner. This allows fast ML inferencing to embedded AI devices in a power-efficient and privacy-preserving way.
Models are developed in TensorFlow Lite and then compiled to run on the USB Accelerator.
Edge TPU key benefits:
High speed TensorFlow Lite inferencing
Low power
Small footprint
Features
Google Edge TPU ML accelerator coprocessor
USB 3.0 Type-C socket
Supports Debian Linux on host CPU
Models are built using TensorFlow. Fully supports MobileNet and Inception architectures though custom architectures are possible
Compatible with Google Cloud
Specifications
Arm 32-bit Cortex-M0+ Microprocessor (MCU): Up to 32 MHz max 16 KB Flash memory with ECC 2 KB RAM
Connections: USB 3.1 (gen 1) port and cable (SuperSpeed, 5Gb/s transfer speed)
Included cable is USB Type-C to Type-A
Coral, a division of Google, helps build intelligent ideas with a platform for local AI.
