| Place of Origin: | China |
|---|---|
| Brand Name: | PLINK |
| Model Number: | Y-C8-Xavier |
| Minimum Order Quantity: | 1\PCS |
| Price: | USD299-USD310\PCS |
| Delivery Time: | 15-30 work days |
| Payment Terms: | L/C, D/A, D/P, T/T |
| Supply Ability: | In stock |
| NAME: | Embedded NVIDIA PCIe Carrier Board Jetson Agx Xavier Developer Kit Edge AI System | Key Word: | Embedded NVIDIA PCIe Carrier Board Jetson Agx Xavier Developer Kit Edge AI System |
|---|---|---|---|
| Module: | NVIDIA Jetson AGX Xavier | GPU: | NVIDIA Volta™ Architecture With 512 NVIDIA CUDA Cores And 64 Tensor Cores |
| CPU: | 8-Core Carmel ARM V8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 | Memory: | 32 GB 256-bit LPDDR4x 136.5GB/s |
| Storage: | 32 GB EMMC 5.1 | MiniPCIe: | 2* |
| M.2 Key M: | 2* | RS232: | 2* |
| Power Supply: | DC +12V | Temperature: | -40~+85°C |
| Dimensions: | 170mm×170mm×34 Mm | Weight: | 260g |
| High Light: | Embedded PCIe Carrier Board,NVIDIA PCIe Carrier Board,Embedded agx xavier developer kit |
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Embedded NVIDIA PCIe Carrier Board Jetson Agx Xavier Developer Kit Edge AI System
NVIDIA Jetson AGX Xavier Development Board (Y-C8-Xavier)
For Edge AI System
Y-C8-Xavier is an industrial carrier board which is based on NVIDIA Jetson AGX Xavier module, and the development board has 256-bit wide LPDDR4X memory interface implemented as eight 32-bit channels with x16 sub- partitions. The memory controller provides a single read or write command and row address to both sub-partitions in the channel to transfer 64 bytes, but provides three independent column address bits to each sub-partition, allowing it access different 32 byte sectors of a GOB between the sub-partitions. It provides connections between a wide variety of clients, supporting their bandwidth, latency, quality-of-service needs and any special ordering requirements that are needed. The MSS supports a variety of security and safety features and address translation for clients that use virtual addresses.
| Product Name | Y-C8-Xavier |
| Module | NVIDIA Jetson AGX Xavier |
| AI Performance | 32 TOPS |
| GPU | NVIDIA Volta™ architecture with 512 NVIDIA CUDA cores and 64 Tensor cores |
| CPU | 8-Core Carmel ARM v8.2 64-Bit CPU, 8 MB L2 + 4 MB L3 |
| Memory | 32 GB 256-bit LPDDR4x 136.5GB/s |
| Storage | 32 GB eMMC 5.1 |
| Networking | 10/100/1000 BASE-T Ethernet |
| USB | 1 x Type B (OTG) |
| 2 x USB 3.1 | |
| DL Accelerator | 2x NVDLA Engines |
| Power Supply | DC +12V |
| Other I/O |
4 x GPIO(3.3V) | 1 x SPI(3.3V) | 2 x I2C(3.3V) | 2 x RS 232 | 1 x Debug(UART) 2 x CAN (with on-board transceiver) |
| Temperature | -40~+85°C |
| Size | 170mm×170mm×34mm |
| Weight | 260g |
