| Place of Origin: | China |
|---|---|
| Brand Name: | PLINK |
| Model Number: | AGX32-8F2E1 |
| Minimum Order Quantity: | 1set |
| Price: | To be negotiated |
| Delivery Time: | 15-30 work days |
| Payment Terms: | T/T, D/P, D/A, L/C |
| Supply Ability: | Batch purchase price negotiation |
| Name: | Autonomous Vehicles Jetson Agx Xavier Nvidia IPC GPU 2U AGX32-8F2E1 | Keyword: | Autonomous Vehicles Jetson Agx Xavier Nvidia IPC GPU 2U AGX32-8F2E1 |
|---|---|---|---|
| AI Performance: | 32 TOPS | GPU: | 512-core NVIDIA Volta Architecture GPU With 64 Tensor Cores |
| CPU: | 8-core Arm® Cortex®-A78AE V8.2 64-bit CPU 2MB L2 + 4MB L3 | Memory: | 32GB 256-bit LPDDR4x 136.5GB/s |
| USB Micro-B: | 1* | USB Type-A: | 1* |
| Temperature: | -20~+65°C | Power Supply: | 220V |
| Size: | 430 Mm × 360 Mm × 88 Mm | Weight: | 6050g |
| High Light: | jetson agx xavier nvidia IPC,2U jetson agx xavier nvidia,2U jetson agx xavier gpu |
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Autonomous Vehicles Jetson Agx Xavier Nvidia IPC GPU 2U AGX32-8F2E1
NVIDIA Jetson AGX Xavier Embedded Computer (AGX32-8F2E1)
Module: NVIDIA Jetson AGX Xavier
For: Vehicles to everything (V2X), Education, Smart Cities, Logistics, Retail.
Software-Defined and Hardware-Configurable Solutions
NVIDIA DRIVETM solutions deliver automated highway and urban driving, pedestrian detection, collision avoidance, sign recognition, and more.
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Product size |
430mm×360mm×88mm |
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GPU |
512-core NVIDIA Volta architecture GPU with 64 Tensor Cores |
| CPU | 8-core NVIDIA Carmel Arm®v8.2 64-bit CPU 8MB L2 + 4MB L3 |
| AI Performance | 32 TOPS |
| Memory | 32GB 256-bit LPDDR4x 136.5GB/s |
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Weight |
6050g |
| Video Encode | 4x 4K60 (H.265) 8x 4K30 (H.265) 16x 1080p60 (H.265) 32x 1080p30 (H.265) |
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Video Decode |
2x 8K30 (H.265) 6x 4K60 (H.265) 12x 4K30 (H.265) 26x 1080p60 (H.265) 52x 1080p30 (H.265) |
| PCIe | 1 x8 + 1 x4 + 1 x2 + 2 x1 (PCIe Gen4, Root Port & Endpoint) |
| Display | 3 multi-mode DP 1.4/eDP 1.4/HDMI 2.0 |
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Working temperature |
-20~+65°C |
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Power requirements |
220V |
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Optional expansion |
32GB 1TB SSD storage |
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Maximum scalability 512g TF card memory |
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4G and WIFI module can be extended |
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The initial setting can be reset and restored |
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