Deep Learning Jetson Nvidia AGX Xavier 32gb Carrier Board Embedded System
Deep Learning Jetson Nvidia AGX Xavier 32gb Carrier Board Embedded System
NVIDIA Jetson AGX Xavier (32G ) Y-C9-DEV
NVIDIA Jetson AGX Xavier(32G) + Y-C9 Carrier Board + Cooling FAN
The Y-C9-DEV is for deep lesrning and makes the makers, developers good to creat the autonomous products, it based on NVIDIA Jetson AGX Xavier module, two instances of the NVIDIA Multi-Standard Video Decoder (NVDEC). The video decoder is designed to be extremely power efficient without sacrificing performance and communicates with the memory controller through the video DMA which supports a variety of memory format output options. For low power operations, the video decoder can operate at the lowest possible frequency while maintaining real-time decoding using dynamic frequency scaling techniques.
NVIDIA Jetson AGX Xavier module Technical Specifications
|
AI Perf |
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-bitLPDDR4x 136.5GB/s |
|
CSI Camera |
Up to 6 cameras |
|
Storage |
32GB eMMC 5.1 |
|
USB |
3x USB 3.2 Gen2 (10 Gbps) |
|
PCIe |
1 x8 + 1 x4 + 1 x2 + 2 x1 |
|
USB 3.1 Type-A |
3 |
|
Micro USB (Debug) |
1 |
|
USB Type-C |
1 |
|
MiniPCIe |
2 |
|
M.2 Key M |
1 |
|
3.3V TTL |
2 |
|
Working indicator light |
1 |
|
Fan control interface |
1 |
|
Gigabit Ethernet (10/100/1000 BASE-T) RJ45 |
1 |
|
HDMI 2.0 |
1 |
|
Size |
136mm×100mm×20 mm |
|
Weight |
412g |
|
Power |
DC +12V |
|
Temperature |
-25~+65℃ |
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