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Nvidia Jetson Xavier NX 16GB, NVIDIA, NVIDIA Carmel, 4096 KB, 16 GB, LPDDR4 SDRAM, 59.7 GB/s
NVIDIA Jetson Xavier NX brings supercomputer performance to the edge in a small form factor system on module (SOM). Up to 21 TOPS of accelerated computing delivers the horsepower to run modern neural networks in parallel and process data from multiple high resolution sensors-a requirement for full AI systems.
POWERFUL 21 TOPS AI PERFORMANCE
Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high resolution data from multiple sensors simultaneously.
IDEAL FOR CRITICAL EMBEDDED APPLICATIONS
Jetson Xavier NX is perfect for high performance AI systems like commercial robots, medical instruments, smart cameras, high resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.
POWERFUL 21 TOPS AI PERFORMANCE
Jetson Xavier NX delivers up to 21 TOPS, making it ideal for high performance compute and AI in embedded and edge systems. You get the performance of 384 NVIDIA CUDA Cores, 48 Tensor Cores, 6 Carmel ARM CPUs, and two NVIDIA Deep Learning Accelerators (NVDLA) engines. Combined with over 59.7GB/s of memory bandwidth, video encoded, and decode, these features make Jetson Xavier NX the platform of choice to run multiple modern neural networks in parallel and process high resolution data from multiple sensors simultaneously.
IDEAL FOR CRITICAL EMBEDDED APPLICATIONS
Jetson Xavier NX is perfect for high performance AI systems like commercial robots, medical instruments, smart cameras, high resolution sensors, automated optical inspection, smart factories, and other AIoT embedded systems.
| Processor | |
| Processor manufacturer The manufacturer that produced the processor. | NVIDIA |
| Processor model The model number for the processor in a computer. | NVIDIA Carmel |
| Processor cache | 4096 KB |
| Processor cores The number of central processing units ('cores') in a processor. Some processors have 1 core, others have 2 (e.g. Intel Core Duo) or more (e.g. the Intel Xeon E7-2850 has 10 cores). | 8 |
| 64-bit computing The use of processors that have datapath widths, integer size, and memory addresses widths of 64 bits (eight octets). In 2003 64-bit CPUs were introduced to the (previously 32-bit) mainstream personal computer arena in the form of the x86-64 and 64-bit PowerPC processor architectures and in 2012 even into the ARM architecture targeting smartphones and tablet computers, first sold on September 20, 2013 in the iPhone 5S powered by the ARMv8-A Apple A7 SoC. |
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| Memory | |
| Maximum internal memory The maximum internal memory which is available in the product. | 16 GB |
| Internal memory type The type of internal memory such as RAM, GDDR5. | LPDDR4-SDRAM |
| Memory bandwidth (max) | 59.7 GB/s |
| Memory bus Hardware and software that connects the main memory to the memory controller in computer systems. Originally, general-purpose buses like VMEbus and the S-100 bus were used, but to reduce latency, modern memory buses are designed to connect directly to DRAM chips, and thus are designed by chip standards bodies such as JEDEC. | 128 bit |
| Flash memory | 16384 MB |
| Flash memory type | eMMC |
| eMMC capacity | 16 GB |
| Ports & interfaces | |
| Wi-Fi Popular technology that allows an electronic device to exchange data or connect to the internet wirelessly using radio waves. |
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| Ethernet LAN An Ethernet LAN (Local Area Network) interface is present, for a wired conection via a cable. |
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| Ethernet interface type | Gigabit Ethernet |
| Expansion slots | |
| PCI version | 4.0 |
| SKU | 747665 |
| MPN | 900-83668-0030-000 |
| Brand | nVidia |
| Product Condition | Brand New/Unused |
| Stock Availability | Available for Shipping |
| Product Use | General |
| Warranty Period | 1 Year Warranty |
| Warranty Contact | https://www.nvidia.com/ |