Dec 28, 2017 · Again, I increased my onboard RAM from 4G to 8G and upgraded SSD from 60G to 250G so I could set my VM (Virtual Memory) higher to 125G. Haven't had any issues with Neoscrypt for over a month now.
GPU0: CUDA memory: 4.00 GB total, 3.30 GB free. GPU0 initMiner error: out of memory. I am not sure why it is saying only 3.30 GB is free, task manager tells me that 3.7 GB of my Dedicated GPU memory is free. Additionally, it shows GPU memory at 0.4/11.7 GB, and Shared GPU memory at 0/7.7 GB as shown in the image below.
24.09.2017 · Cuda error in func 'neoscrypt_cpu_init_2stream' at line 1424 : out of memory. Owner KlausT commented on Sep 25, 2017 This will happen if the intensity is too high. What cards are …
30.09.2017 · Hey, i'm using nicehash miner 2.0.1.1 with Win 10 pro 64bit. My Rig is build with 4GB RAM and 8x GTX1080ti. Sometimes, nicehash miner is freezing after a couple of hours mining, and showing: CU...
GPU #0: Cuda error in func 'neoscrypt_cpu_init_2stream' at line 1444 : out of memory. [2018-06-07 00:48:49] stopping 6 threads [2018-06-07 00:48:49] accepted: 1 ...
Jan 10, 2018 · You should have as much virtual+regular mem as combined memory of all GPUs. For example if you have a rig with 5 x 1080 ti, 5x11 = 55 GB. If you have 16 GB of regular mem, that means having 39 of virtual memory is enough. Put 1 more to make it 40 just in case and you will be safe.
Neoscrypt out of memory I have a rig with 4 GB RAM, and 3 1080's, had to disable neoscrypt on all GPU's because it kept nicehash from mining as it always selected neoscrypt. I heard I have to either get more RAM or allocate more virtual memory (8GB per GPU).
Sep 30, 2017 · I dont know but I suspect the cuda drivers generate the DAG in real memory for all cards then move it into the GPU's memory. Since the dag at present is ~3gb * 6 cards that 18000mb of ram on start up. .
The Nvidia 3000 series cards tend to have high memory temperatures, ... qu'un point de référence pour ce type de GPU, utilisez-les à vos propres risques.
30.12.2021 · We have compiled a Windows binary for the new ccMiner fork by djm34 that now has support for NeoScrypt and Yescrypt GPU mining on Nvidia-based video.Our Windows binary is compiled with VS2013 and CUDA 6.5 and supports Compute 3.5, 5.0 and 5.2 GPUs, you can download and try it from the link below, there is an example BAT file setup for testing hashrate …
28.12.2017 · Again, I increased my onboard RAM from 4G to 8G and upgraded SSD from 60G to 250G so I could set my VM (Virtual Memory) higher to 125G. Haven't had any issues with Neoscrypt for over a month now.
25.12.2017 · Tested the other cards on neoscrypt the Vram didn't exceed 96MB per card . So I tested nicehash 2 with 5 cards on neoscrypt and GPU 3 on equihash and Lyrarev2 (disabling neoscrypt). the Vram usage was 1.139GB and the rig was more stable. However after two hours found the rig freezed. I was really disappointed.
Sep 24, 2017 · Cuda error in func 'neoscrypt_cpu_init_2stream' at line 1424 : out of memory. Owner KlausT commented on Sep 25, 2017 This will happen if the intensity is too high. What cards are you using? Author whifflevcq commented on Sep 25, 2017 The first time it opened it was already. I use a 1070 G1 card Author whifflevcq commented on Sep 25, 2017
10.01.2018 · I had the same problem when I was mining neoscrypt and solve it like that: format and reinstall all drv nvidia and gigabyte oc soft. and nicehash last version. oc gigabyte soft alls gpus -20% power open nicehash soft and make normal benc...
07.01.2022 · dist.all_reduce(torch.zeros(1).cuda()) RuntimeError: CUDA error: out of memory CUDA kernel errors might be asynchronously reported at some other API call,so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Dec 25, 2017 · Tested the other cards on neoscrypt the Vram didn't exceed 96MB per card . So I tested nicehash 2 with 5 cards on neoscrypt and GPU 3 on equihash and Lyrarev2 (disabling neoscrypt). the Vram usage was 1.139GB and the rig was more stable. However after two hours found the rig freezed. I was really disappointed.