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PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU for Edge AI Inference(CRL-G116U-P3DF)
SmartFly info

PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU for Edge AI Inference(CRL-G116U-P3DF)

Bottom line: The PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU is a specs-and-price decision rather than a crowd-consensus one in the ai accelerators category. Check the specification table below against one or two close alternatives — on price and spec fit, not on star ratings.

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Mike Perry — Hardware researcher since 2014, focused on GPU performance across gaming, rendering, and local-LLM inference. Synthesises community benchmarks, manufacturer specs, and public forum data into actionable buying guides.

Pros & Cons

Pros

  • ✓ Powerful AI Inference Capability Support up to 16x Google Edge TPU M.2 modules
  • ✓ Backed by SmartFly info's warranty and support channels

Cons

  • ✗ Confirm socket / form-factor / power-rating compatibility against your build before ordering
  • ✗ Price, stock, shipping and returns are set by the retailer and may have changed since this page was last updated

Manufacturer description

About this item Powerful AI Inference Capability: Support up to 16x Google Edge TPU M.2 modules Easy-to-Use Pre-trained AI Models: Google TensorFlow Lite pre-trained ML models can be easily compiled and run on this model Easy Installation, Common Expansion Slot: Compatible general PCI Express Gen 3 x16 slot; Stable At High-Loading Perfect combination for powerful plug-and-play experience: Optimized thermal design with high quality Copper heatsink and twin turbofans › See more product details

SpecPicks Verdict

SpecPicks scored PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU using a rating × review-volume × price-fit model applied to published specs and reviews across the ai accelerators category. SmartFly info's ai accelerators lineup sits within the broader category mid-tier; price and specs are the deciding factors over brand loyalty here. Judge it on the specification table and the price rather than on sentiment: check the figures that decide your use case, then put it side-by-side with two or three close alternatives in the Compare tool before clicking through.

Common buyer scenarios for ai accelerators of this kind: matching it to an existing build, replacing a failing part, or upgrading from a previous-generation equivalent. Check the spec table below against your current setup — particularly socket / form-factor / power-rating fields — and confirm compatibility on the retailer's listing before purchase. Prices and stock are set by the retailer and may have moved since this page was last updated.

Key Features

  • Powerful AI Inference Capability Support up to 16x Google Edge TPU M.2 modules
  • Easy-to-Use Pre-trained AI Models Google TensorFlow Lite pre-trained ML models can be easily compiled and run on this model
  • Easy Installation, Common Expansion Slot Compatible general PCI Express Gen 3 x16 slot; Stable At High-Loading
  • Perfect combination for powerful plug-and-play experience Optimized thermal design with high quality Copper heatsink and twin turbofans

Full Specifications

UPC054114604623
ASINB08V134ZFD
BrandSmartFly info
Model NamePCIe Gen3 AI Accelerator
ManufacturerSmartFly Tech
Model NumberPCIe Gen3 AI Accelerator
Number of Fans2
Video ProcessorGoogle
Antenna LocationProfessional
Graphics RAM TypeGDDR6X
Graphics Ram TypeGDDR6X
Compatible DevicesDesktop
Graphics CoprocessorGoogle Edge TPU
Graphics DescriptionGoogle Coral Edge TPU, GDDR6X
Video Output InterfaceMultiple (HDMI, DisplayPort, DVI, or similar)
Graphics Card InterfacePCI-Express x16
Display Resolution Maximum7680x4320
Graphics Processor ManufacturerGoogle

Ready to buy?

PCIe Gen3 AI Accelerator PCIe Card Based on Google Coral Edge TPU for Edge AI Inference(CRL-G116U-P3DF) is listed on Amazon. Price, availability, shipping and returns are set by Amazon and its sellers — check the listing for current terms. SpecPicks earns a small commission on qualifying purchases — thank you for supporting independent review work.

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