At 7800xt, the FPS rose by an average of 20 percent and the hotspot dropped by 5 degrees. How do you explain it? 0 Likes Reply Drasel In response to Matt_AMD Journeyman III 10-21-2024 09:30 AM Empty heading Performance is worse for my RX 7600. The GPU usage is ...
gpu_util = nvml.nvmlDeviceGetUtilizationRates(handle) # Replace with a function to get GPU usage gpu_mem = gpu_memory.used / (1024 * 1024 ) gpu_percent = gpu_util.gpu num_handles = process.num_fds() num_threads = process.num_threads() rss_used = mem_info.rss / (1024 * 1024 )...
gpu usage spiking up and down on amd gpu: hi so im having this problem with my amg gpu usage spiking up to 85 to 90 percent usage and half of my dedicated gpu memory i tried to check which process was using it and it turns out that its being used by svchost.exe does someone know...
$ kubectl describe node ksp-gpu-worker-1 | grep "Allocated resources" -A 9 Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits --- --- --- cpu 487m (13%) 2 (55%) memory 315115520 (2%) 800Mi (5%) ephemeral-storage 0 (...
| | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |===| | No running processes found | +---+ 清理测试资源 kubectl apply -f cuda-ubuntu.yaml 5.2 测试示例 2-官方
$ kubectl describe node ksp-gpu-worker-1 | grep "Allocated resources" -A 9 Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits --- --- --- cpu 487m (13%) 2 (55%) memory 315115520 (2%) 800Mi (5%) ephemeral-storage 0 (...
$ kubectl describe node ksp-gpu-worker-1 | grep "Allocated resources" -A 9 Allocated resources: (Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits --- --- --- cpu 487m (13%) 2 (55%) memory 315115520 (2%) 800Mi (5%) ephemeral-storage 0 (...
(Total limits may be over 100 percent, i.e., overcommitted.) Resource Requests Limits --- --- --- cpu 487m (13%) 2 (55%) memory 315115520 (2%) 800Mi (5%) ephemeral-storage 0 (0%) 0 (0%) hugepages-1Gi 0 (0%) 0 (0%) hugepages-2Mi 0 (...
On most systems it's capable of driving the GPU at 98 to 99 percent utilization. The downside of that efficiency is that there's not enough left over to drive the display without the lag being noticeable. That's part of it, but since the Collatz application often runs at that level of...
| Fan Temp Perf Pwr:Usage/Cap | Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===+===+===| | 0 Tesla P100-PCIE-16GB Off | 00000000:00:10.0 Off | 0 | | N/A 40C P0 26W / 250W | 0MiB / 16384MiB | 0% Default | | | | N/A | +---...