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Black M.2 2280 AI module with gold edge connector and 8GB LPDDR4 memory

ASUS

ASUS 90YT00B1-M0AA00 UGen300 M2 AI Module, Hailo-10H, 8GB LPDDR4

SKU CH-9XRW-NCSBP MPN 90YT00B1-M0AA00

M.2 Key-M 2280 AI accelerator with Hailo-10H chipset delivering 40 TOPS at 2.5 watts and 8GB LPDDR4 memory

  • Product typeAI Module
  • Product colorBlack
  • DetailsChipset: Hailo-10H AI Performance: 40 TOPS @ INT4 | 20 TOPS

Model UGen300 M2 AI Module

  • Up to 40 TOPS INT4 inference at only 2.5 W typical power
  • 8 GB LPDDR4 onboard memory enables fully offline AI processing
  • M.2 Key-M 2280 PCIe 3.0 x4 form factor fits compact edge systems
  • Runs on Windows, Linux and Android across x86 and ARM architectures
  • Access to 150 plus pre-trained models for vision, LLM and VLM workloads

ASUS UGen300 M2 AI Module

The ASUS UGen300 M2 AI Module is an edge accelerator in M.2 2280 Key-M form factor. It targets developers and integrators who need local inference on x86 or ARM platforms running Windows, Linux or Android.

40 TOPS INT4 and 8 GB LPDDR4

The Hailo-10H chipset delivers 40 TOPS at INT4 and 20 TOPS at INT8 within a 2.5 W typical envelope. Eight gigabytes of LPDDR4 at 4266 MT/s feed the engine, so larger vision or language models fit on-device until memory or compute ceiling is reached.

Model zoo and framework support

Access to 150-plus pre-trained models covers LLM, VLM, Whisper and vision networks. Native TensorFlow, TensorFlow Lite, Keras, PyTorch and ONNX compatibility lets existing pipelines deploy without rewrite.

How it compares

Measured against everything we stock in USB Hubs, Extenders & Gadgets, at today’s prices. Recalculated every night.

Price $202.99
Pricier than about 92% of the 105 comparable items (median $24.99).

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Specifications

Product
Brand nameASUS
Model nameUGEN300-8GLD4-M2
Product typeAI Module
Product colorBlack
Size & build
Shipping weight0.09 kg
Package size140 × 89 × 38 mm

Other versions of this model

1 more in the same range

Questions about this item

Will the M.2 Key-M 2280 slot and PCIe 3.0 x4 interface work with my older motherboard that only has PCIe 2.0 x4?

The module uses a PCIe 3.0 x4 interface on an M.2 Key-M 2280 connector. It will physically fit and negotiate down to PCIe 2.0 speeds on older boards, but AI throughput will be limited by the reduced lane bandwidth.

How can I verify the Hailo-10H is delivering the rated 40 TOPS at INT4 after installation?

Run a benchmark from the Hailo model zoo — such as a quantised LLM or vision network — and compare the reported inference latency against the published 40 TOPS INT4 figure; the supplied software stack includes profiling tools for this check.

Does the box include a heatsink or mounting screw for the M.2 2280 slot, or must I buy them separately?

The module ships with 8 GB LPDDR4 memory soldered on board; a heatsink and M.2 mounting screw are not included and must be sourced separately to suit your chassis and motherboard standoff height.

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