A recent technical post on the Chinese developer platform Cnblogs presents comprehensive benchmarks of GPU Direct DMA P2P communication between FPGAs and GPUs, specifically comparing the Jetson NX 16GB and NVIDIA H100. The author explains the underlying technology, GPU Direct RDMA, which allows direct memory access between GPUs and remote devices without CPU involvement, significantly reducing latency. The tests demonstrate performance differences across platforms, with the H100 showing superior throughput but the Jetson NX offering a compelling edge for embedded AI applications. This benchmark is valuable for engineers designing high-performance edge computing systems, as it provides real-world data on inter-device communication efficiency. The post also hints at future tests on other platforms, making it a resource for ongoing hardware evaluation.
Detailed benchmarks of GPU Direct DMA P2P between FPGAs and GPUs on Jetson NX and H100 platforms, covering technical principles and performance comparisons.