Nvidia Jetson Xavier Memory

You get the performance of 384 nvidia cuda cores 48 tensor cores 6 carmel arm cpus and two nvidia deep learning accelerators nvdla engines.

Nvidia jetson xavier memory. This may not enough memory for running many of the large deep learning models or compiling very large programs. Built on the 12 nm process and based on the gv10b graphics processor the device supports directx 12. The nvidia jetson xavier nx developer kit brings supercomputer performance to the edge. Jetson xavier nx delivers up to 21 tops making it ideal for high performance compute and ai in embedded and edge systems.

This means that now with xavier zero copy memory programming can be used to share physical memory between processing units. This demonstration uses an fpga device attached to jetson s pcie port to copy memory from one cuda surface to another and validate the result. Nvidia jetson agx xavier. The physical memory is shared by cpu and gpu so that data can shared from cpu to gpu.

The jetson xavier nx gpu is a high end mobile integrated graphics solution by nvidia launched in may 2020. It s an ai computer for autonomous machines delivering the performance of a gpu workstation in an embedded module under 30w. There is a new hardware on xavier for io coherency. It includes a jetson xavier nx module for developing multi modal ai applications with the nvidia software stack in as little as 10 w.

Nvidia has created a simple demonstration of gpudirect rdma on jetson agx xavier. The jetson agx xavier module combines cpu and gpu processor technology with integrated pmic power management ic dram main memory and flash memory. Combined with over 51gb s of memory bandwidth video encoded and decode these features make jetson xavier nx the platform. Starting with cuda 9 x and from xavier on cache coherence between cpus and gpu is done via hardware through the the host cpu cache.

The nvidia jetson agx xavier developer kit is the latest addition to the jetson platform. You can also now take advantage of cloud native support to more easily develop and deploy ai software to edge devices. This ensures that all modern games will run on jetson xavier nx gpu. The nvidia jetson nano developer kit has 4 gb of main memory.

Jetson agx xavier is designed for robots drones and other autonomous machines. It allows gpu to snoop cpu cache but cpu cannot snoop through device s cache. The fpga configuration the linux kernel driver code and the user space test applications are written in a minimal. With its parallel processor structure the platform is the perfect solution for artificial intelligence ai at the edge.