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Nvidia Ampere based graphics module targets AI, edge computing

Nvidia Ampere based graphics module targets AI, edge computing

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By Christoph Hammerschmidt



The new embedded graphics modules deliver real-time ray tracing, AI-accelerated graphics and energy-efficient AI inference acceleration in the compact mobile PCI express (MXM) form factor. These modules are designed to enhance responsiveness, precision and reliability for mission-critical, time-sensitive applications in healthcare, manufacturing, transportation, gaming and other sectors.

Today, computing and AI workloads are shifting from the cloud to the edge to shorten response time, enhance security and lower communication costs. With more and more data being processed at the edge, the performance requirements are getting higher while the power budget remains nearly unchanged. “The Nvidia Ampere architecture delivers a major boost in performance and power efficiency, which enables general computation, image processing and reconstruction, and AI inference at the edge to advance to the next level,” said Zane Tsai, director of platform product center, ADLink.

Nvidia’s latest embedded solutions offer up to 2x rendering performance and 2x FP32 throughput compared to existing solutions, as well as hardware-accelerated video encoding and decoding for significant increases in both graphics and compute workloads.

Based on the Nvidia Ampere architecture, ADLink’s embedded MXM GPU modules offer up to 5,120 CUDA Cores, 160 Tensor Cores and 40 RT Cores with support for PCIe Gen 4 and up to 16GB GDDR6 memory at up to 115 watts of TGP. These modules can satisfy compute-intensive, graphics-demanding, memory-hungry applications. They are one-fifth the size of full-height, full-length PCI Express graphics cards, and are hardened to operate under severe temperature extremes, shock and vibration, and corrosion resistance for use in size, weight and power-constrained edge environments. These embedded graphics modules offer longevity support for five years. Developers, solution architects and system integrators can innovate new solutions with confidence that the supply is steady through a product life cycle.

Applications of the embedded MXM graphics modules include:

  • Healthcare: Accelerated image reconstruction for mobile X-ray, ultrasound and endoscopic systems
  • Transportation: Real-time object detection on railways or airport runways to enhance transport safety
  • Retail and Logistics: Navigation and route planning for autonomous drones and mobile robots (AMRs) to assist with last-mile delivery
  • Aerospace and Defense: Time-sensitive and mission-critical command, control, communications, computers (C4) intelligence, surveillance and reconnaissance (ISR) applications
  • Gaming: Immersive and stunning visuals experience for multi-display gaming machines

More information: https://www.adlinktech.com/en/Embedded_MXM_Modules

 

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