MX3

MemryX MX3 M.2 AI Accelerator

MemryX MX3 M.2 AI Accelerator Module is a high-performance, energy-efficient Edge AI solution engineered for real-time, low-latency computer vision inference. By integrating four MX3 AI accelerators on a single module, it delivers exceptional computational density and parallel processing capability.

  • 4 MX3 chips integrated
  • Up to 24 TFLOPS at 1GHz
  • 2280 M-Key form factor (22 × 80mm)
  • 42M 8‑bit parameters (weights) on-chip
  • x2 or x4 PCIe Gen 3 interface
  • -40ºC to 85ºC industrial temperature range
  • >50% chip utilization with one‑click model optimization
  • Compatible with ARM, x86, RISC‑V host processors
  • Runs on Ubuntu, Windows, Android

High-Performance, Low-Power Edge AI

High‑Density Edge AI

This standard M.2 2280 module integrates a dedicated AI accelerator to deliver INT8 TOPS‑level performance, enabling powerful on‑device inference within a compact form factor and minimal thermal footprint.

Plug‑and‑Play Compatibility

Featuring a PCIe‑based M.2 interface, the module seamlessly connects to widely available slots on x86 and Arm platforms, allowing effortless AI acceleration in existing systems without hardware redesign.

Efficient Performance

Designed for high throughput at low power, the accelerator achieves an exceptional TOPS‑per‑watt ratio, supporting fanless operation and real‑time inference in space‑constrained edge environments.

Streamlined Development

A full SDK and toolchain are provided to compile and deploy models from mainstream deep‑learning frameworks, backed by comprehensive documentation to streamline AI integration and deployment.

Mechanical Form Factor M.2 2280 M Key Socket 3
Dimensions 3.15″ x 0.87″ (22 x 80 mm)
Electrical Input Voltage 3.3V +/- 5%
Power Average Power Max: 10W Peak: 14W (M.2 limit)
Interface PCIe Gen 3, 2×2-lanes
8 GT/s per PCIe lane
IC 4 MemryX MX3’s
Ports Frameworks ONNX, PyTorch, TensorFlow, Keras, TensorFlow Lite
Weight parameters 80 million, 4-bit 40 million, 8-bit
Host Processor Any including ARM, x86, and RISC-V
OS Support Ubuntu 22.04 and 24.04, 64-bit Windows, 64-bit Android
SDK MemryX Developer Hub
Certification CE / FCC Class A
Environmental Operating Temperature -40°C to 85°C Industrial
Operating Humidity 10% ~80% RH non-condensing

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