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NVIDIA MXM GPU Acceleration for Embedded AI

Lambortech MXM GPU modules provide NVIDIA GPU acceleration for embedded computing systems, supporting AI inference, industrial vision, and GPU-accelerated workloads. Featuring NVIDIA Blackwell and Ada Lovelace architectures, the portfolio offers different performance and memory configurations to support diverse system integration requirements.

01

NVIDIA GPU
Architectures

Blackwell and Ada Lovelace MXM GPU options for embedded AI applications.

02

AI & Graphics
Acceleration

GPU acceleration for AI inference, vision processing, and graphics-intensive workloads.

03

MXM Form Factor
Integration

Modular GPU solutions for integration into compatible embedded computing platforms.

04

Flexible Performance
Options

Multiple GPU configurations to address computing, memory, and system requirements.

MXM GPU Modules

NVIDIA Blackwell and Ada Lovelace GPU options for embedded computing platforms.

NVIDIA Blackwell

MX5000B MXM GPU module

MX5000B

NVIDIA RTX PRO 5000 Blackwell MXM

  • 10,496 CUDA, 320 Tensor, 80 RT cores
  • 24GB GDDR7, 256-bit, 896 GB/s
  • Up to 4 × DisplayPort 2.1a (DSC 1.2a)
  • MXM 3.1 Type B (+5 mm); PCIe Gen 4 x16
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MX2000B MXM GPU module

MX2000B

NVIDIA RTX PRO 2000 Blackwell MXM

  • 3,328 CUDA, 104 Tensor, 26 RT cores
  • 8GB GDDR7, 128-bit, 384 GB/s
  • Up to 3 × DisplayPort 2.1a (DSC 1.2a)
  • MXM 3.1 Type A; PCIe Gen 4 x8
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MX500B MXM GPU module

MX500B

NVIDIA RTX PRO 500 Blackwell MXM

  • 1,792 CUDA, 56 Tensor, 14 RT cores
  • 6GB GDDR7, 96-bit, 288 GB/s
  • Up to 3 × DisplayPort 2.1a (DSC 1.2a)
  • MXM 3.1 Type A; PCIe Gen 4 x8
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NVIDIA Ada Lovelace

MX5000A MXM GPU module

MX5000A

NVIDIA RTX 5000 Ada Generation MXM

  • 9,728 CUDA, 304 Tensor, 76 RT cores
  • 16GB GDDR6, 256-bit, 576 GB/s
  • Up to 4 × DisplayPort 1.4a
  • MXM 3.1 Type B; PCIe Gen 4 x16
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MX2000A MXM GPU module

MX2000A

NVIDIA RTX 2000 Ada Generation MXM

  • 3,072 CUDA, 96 Tensor, 24 RT cores
  • 8GB GDDR6, 128-bit, 256 GB/s
  • Up to 3 × DisplayPort 1.4a
  • MXM 3.1 Type A; PCIe Gen 4
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Applications

GPU acceleration for AI, vision, and computing workloads in compatible embedded systems.

Industrial vision inspection application

Industrial AI Vision

GPU-accelerated image processing and AI analysis for industrial inspection workflows.

Smart transportation edge AI application

Edge AI Inference

Local AI inference for image and sensor data in embedded edge applications.

Robotics and industrial automation application

Robotics & Automation

Vision processing and AI inference for robotics and automation system integration.

Surveillance and security computing application

GPU Computing

GPU computing and graphics processing for embedded analysis and visualization workloads.