NVIDIA Jetson Xavier NX 8GB Module

SKU: MMT-900-83668-0000-000 Category:

$1,125.00

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Description

Smaller than a credit card (70x45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance, 21 TOPS (at 15 W or 20 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors, a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

  • AI Performance: 21 TOPS
  • GPU: 384-core NVIDIA Volta GPU with 48 Tensor Cores
  • CPU: 6-core NVIDIA Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3
  • Memory: 8 GB 128-bit LPDDR4x 59.7GB/s
  • Storage: 16 GB eMMC 5.1
  • Power: 10W | 15W | 20W
  • PCIe: 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s
  • CSI Camera: Up to 6 cameras (24 via virtual channels) 14 lanes (3x4 or 6x2 or 3x4 + 1x2 or 5x2 + 1x4) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)
  • Video Encode: 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
  • Video Decode: 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
  • Display: 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
  • DL Accelerator: 2x NVDLA
  • Vision Accelerator: 2x PVA
  • Networking: 10/100/1000 BASE-T Ethernet
  • Mechanical: 69.6mm x 45mm 260-pin SO-DIMM connector

Weight 0.005 g
Dimensions 5 × 0.5 × 8 mm
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Description

Smaller than a credit card (70×45 mm), the energy-efficient Jetson Xavier NX module delivers server-class performance, 21 TOPS (at 15 W or 20 W) or up to 14 TOPS (at 10 W). It can run multiple modern neural networks in parallel and process data from multiple high-resolution sensors, a requirement for full AI systems. Available cloud-native support makes it easier than ever to develop and deploy AI software to edge devices.Jetson Xavier NX is production-ready and supports all popular AI frameworks. This opens the door for embedded edge-computing devices that demand increased performance to support AI workloads but are constrained by size, weight, power budget, or cost.

  • AI Performance: 21 TOPS
  • GPU: 384-core NVIDIA Volta GPU with 48 Tensor Cores
  • CPU: 6-core NVIDIA Carmel ARMv8.2 64-bit CPU 6MB L2 + 4MB L3
  • Memory: 8 GB 128-bit LPDDR4x 59.7GB/s
  • Storage: 16 GB eMMC 5.1
  • Power: 10W | 15W | 20W
  • PCIe: 1 x1 (PCIe Gen3) + 1 x4 (PCIe Gen4), total 144 GT/s
  • CSI Camera: Up to 6 cameras (24 via virtual channels) 14 lanes (3×4 or 6×2 or 3×4 + 1×2 or 5×2 + 1×4) MIPI CSI-2 D-PHY 1.2 (up to 30 Gbps)
  • Video Encode: 2x 4K60 | 4x 4K30 | 10x 1080p60 | 22x 1080p30 (H.265) 2x 4K60 | 4x 4K30 | 10x 1080p60 | 20x 1080p30 (H.264)
  • Video Decode: 2x 8K30 | 6x 4K60 | 12x 4K30 | 22x 1080p60 | 44x 1080p30 (H.265) 2x 4K60 | 6x 4K30 | 10x 1080p60 | 22x 1080p30 (H.264)
  • Display: 2 multi-mode DP 1.4/eDP 1.4/HDMI 2.0
  • DL Accelerator: 2x NVDLA
  • Vision Accelerator: 2x PVA
  • Networking: 10/100/1000 BASE-T Ethernet
  • Mechanical: 69.6mm x 45mm 260-pin SO-DIMM connector
Weight 0.005 g
Dimensions 5 × 0.5 × 8 mm
Barcode

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