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coral M.2 Accelerator with Dual Edge TPU datasheet

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coral M.2 Accelerator with Dual Edge TPU datasheet

Name: coral M.2 Accelerator with Dual Edge TPU datasheet
Brand: SUNDAR TECHNO SOLUTIONS
Price: 4500.0 INR
Availability: InStock

Price 4500.0 INR/ Piece

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MOQ : 1 Piece

coral M.2 Accelerator with Dual Edge TPU datasheet Specification

Processor Main Frequency
Up to 4 TOPS (2 TOPS per Edge TPU)

Processor Type
Edge TPU (x2)

Weight
6.16g

Connectivity Options
M.2 B+M key interface (2242 and 2280 support)

Warranty Period
1 Year Limited

On-board Memory
8 GB eMMC Flash

Supported Host Interfaces
PCIe Gen2 x1

Supported ML Frameworks
TensorFlow Lite (fully supported), AutoML Vision Edge (supported via TF Lite export)

Operating Temperature Range
-40°C to +85°C

Form Factor
M.2 2242 and 2280 B+M Key

Product Code
G650-04651-01

Power Requirements
3.3V (typical), Max 2.5W per Edge TPU

Dimensions
22 x 42 or 22 x 80 mm

Performance
4 TOPS (2 TOPS per Edge TPU), 8 TOPS combined (INT8) with two boards

Edge TPU Count
2

coral M.2 Accelerator with Dual Edge TPU datasheet Trade Information

Minimum Order Quantity
1 Piece

Payment Terms
Cash Advance (CA)

Supply Ability
50 Pieces Per Day

Delivery Time
7 Days

Sample Available
No

Main Export Market(s)
Asia

Main Domestic Market
All India

Certifications
CE

About coral M.2 Accelerator with Dual Edge TPU datasheet

The Coral M.2 Accelerator with Dual Edge TPU is an M.2 module (E-key) that includes two Edge TPU ML accelerators, each

with their own PCIe Gen2 x1 interface.

The Edge TPU is a small ASIC designed by Google that accelerates TensorFlow Lite models in a power efficient manner:

each one is capable of performing 4 trillion operations per second (4 TOPS), using 2 watts of powerthat's 2 TOPS per

watt. For example, one Edge TPU can execute state-of-the-art mobile vision models such as MobileNet v2 at almost 400

frames per second. This on-device ML processing reduces latency, increases data privacy, and removes the need for a

constant internet connection.

With the two Edge TPUs in this module, you can double the inferences per second (8 TOPS) in several ways, such as by

running two models in parallel or pipelining one model across both Edge TPUs.

High-Performance Edge AI Accelerator

The Coral M.2 Accelerator with Dual Edge TPU delivers powerful AI computation with two onboard Edge TPUs. Each core achieves 2 TOPS, providing a robust platform for demanding machine learning tasks at the edge. Its compact M.2 interface supports both 2242 and 2280 B+M key form factors, allowing easy integration into a wide range of embedded systems and industrial PCs. Its resilience to extreme temperatures ensures reliable operation in diverse environments.

Seamless Integration and Wide Compatibility

Equipped with PCIe Gen2 x1 and designed for M.2 slots, this accelerator is adaptable for various application needs. With full TensorFlow Lite support and compatibility with AutoML Vision Edge models upon conversion, developers have the flexibility to build and deploy cutting-edge AI solutions quickly. The onboard 8 GB eMMC flash ensures ample local storage for large machine learning models and data.

Efficiency and Reliability for Edge Applications

Operating on a typical 3.3V with a maximum draw of 2.5W per TPU, the Coral M.2 Accelerator maintains energy efficiency for edge deployments. Its minimal weight and rugged design suit both portable and stationary systems. The extensive -40C to +85C temperature tolerance guarantees consistent performance in industrial and commercial scenarios.

FAQ's of coral M.2 Accelerator with Dual Edge TPU datasheet:

Q: How do I integrate the Coral M.2 Accelerator with Dual Edge TPU into my system?

A: You can install the accelerator into any M.2 2242 or 2280 B+M key slot that supports PCIe Gen2 x1 interface. Once connected, follow the manufacturer's guidelines to install drivers and load your TensorFlow Lite models onto the 8 GB eMMC flash for deployment.

Q: What machine learning frameworks are fully supported by this accelerator?

A: The Coral M.2 Accelerator with Dual Edge TPU is fully compatible with TensorFlow Lite. Additionally, models created using AutoML Vision Edge can be exported to TensorFlow Lite format for inference on the accelerator.

Q: When should I consider using this accelerator in my project?

A: Deploy the Coral M.2 Accelerator when you require high-speed, low-power AI inference at the edge, especially in applications needing reliable operation across extreme temperature ranges or space-constrained environments.

Q: Where can I use the Coral M.2 Accelerator with Dual Edge TPU?

A: This accelerator is suitable for use in edge computing devices, industrial controllers, IoT gateways, and AI-enabled embedded platforms across smart cities, manufacturing, retail, and transportation sectors.

Q: What are the key benefits of using the Dual Edge TPU configuration?

A: The dual Edge TPU setup delivers up to 4 TOPS of processing power (8 TOPS with two boards), enabling parallel execution of multiple AI models or accelerated inference, boosting system responsiveness while maintaining low power consumption.

Q: How does the product handle storage for models and data?

A: It features 8 GB of onboard eMMC flash memory, allowing developers to store machine learning models and supporting data locally on the accelerator, enhancing processing speed and security.

Q: What is the warranty period and who can supply the Coral M.2 Accelerator in India?

A: The product comes with a 1-year limited warranty. It is available through authorized exporters, manufacturers, and suppliers in India. Please verify availability with your preferred distributor.

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