could this be used to dramatically speed up Hashcat?

No, Hashcat don't support the TPU and the TPU wouldn't support hashcat, in theory. The TPU is an ASIC that doesn't even do the right kind of math for password hashing. It's built for Matrix operations for interference training, not low precision parallel integer operations.

The Coral USB Accelerator adds a Coral Edge TPU to your Linux, Mac, or Windows computer.

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USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

Product ID: 341374469

Details

Brand
Google Coral
CPU manufacturer
ARM
Connectivity technology
USB
Memory storage capacity
16 KB
Operating system
Linux

⚡5Gb/s USB 3.1 Gen 1 SuperSpeed

🤖Google Edge TPU ML accelerator

🧠100+ fps MobileNet v2 inferencing

₩333894

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Description

🤖 Power your AI edge with Google's USB ML accelerator — speed, efficiency, and innovation in your pocket!

COMPACT YET MIGHTY - Tiny 7.6 x 5.1 x 2.5 cm footprint packs a 32 MHz ARM Cortex-M0+ microprocessor with ECC memory.
GOOGLE POWERED EDGE TPU - Leverage Google's custom ASIC for power-efficient, high-performance machine learning on the edge.
CLOUD READY AI INTEGRATION - Fully supports MobileNet & Inception architectures and integrates smoothly with Google Cloud services.
BLAZING FAST ML INFERENCING - Harness 5Gb/s USB 3.1 Gen 1 for lightning-speed data transfer and real-time AI processing.
SEAMLESS LINUX COMPATIBILITY - Plug & play with Debian Linux and TensorFlow Lite for effortless AI model deployment.

The Coral USB Edge TPU ML Accelerator is a compact, USB 3.1 Gen 1 device featuring Google's custom Edge TPU ASIC for high-speed, low-power machine learning inferencing. Designed for embedded Linux systems like Raspberry Pi, it supports TensorFlow Lite models including MobileNet and Inception architectures, delivering 100+ fps performance. With a 32 MHz ARM Cortex-M0+ MCU, ECC flash memory, and seamless Google Cloud compatibility, it enables professional developers to deploy advanced AI at the edge with ease.

Specifications

ASIN	B07R53D12W
Best Sellers Rank	#25,020 in Computers ( See Top 100 in Computers ) #1,813 in USB Cables
Brand	Google Coral
CPU speed	32 MHz
Compatible Devices	Raspberry Pi
Connectivity Technology	USB
Connectivity technology	USB
Customer Reviews	5.0 out of 5 stars 3 Reviews
Installed RAM memory size	2 KB
Item Dimensions L x W x H	7.6L x 5.1W x 2.5H centimeters
Manufacturer	Google Coral
Memory Storage Capacity	16 KB
Memory storage capacity	16 KB
Mfr Part Number	Coral-USB-Accelerator
Model Name	Coral-USB-Accelerator
Model Number	Coral-USB-Accelerator
Model name	Coral-USB-Accelerator
Operating System	Linux
Processor Brand	ARM
Processor Count	1
Processor Speed	32 MHz
RAM Memory Installed	2 KB
Total Usb Ports	1
UPC	608614201389

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₩333894

Duties & taxes included

In stock

Sold byAmazon South KoreaDelivered byDesertcartCustomer service byDesertcartReturns14 days · 30 with PRO

Buyer Protection · Full refund if your order doesn't arrive as described.

Desertcart purchases this item on your behalf and handles shipping, customs, and support to South Korea.

Secure transaction

Trustpilot

TrustScore 4.5 | 7,300+ reviews

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The MOLLE sheath is of exceptional quality. Very happy with my purchase.

2 weeks ago

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The product quality is outstanding. Exactly what I needed for my work.

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USB Edge TPU ML Accelerator coprocessor for Raspberry Pi and Other Embedded Single Board Computers

Details

Details

Description

Specifications

Reviews

Common Questions