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+--- Thread: cuMemAlloc(): out of memory (/thread-11163.html)
cuMemAlloc(): out of memory - 3DES - 12-05-2022
ashcat (v6.1.1) starting...
You have enabled --force to bypass dangerous warnings and errors!
This can hide serious problems and should only be done when debugging.
Do not report hashcat issues encountered when using --force.
CUDA API (CUDA 12.0)
====================
* Device #1: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
* Device #2: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
* Device #3: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
* Device #4: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
* Device #5: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
* Device #6: NVIDIA GeForce RTX 3090, 23320/24575 MB, 82MCU
OpenCL API (OpenCL 3.0 ) - Platform #1 [Intel(R) Corporation]
=============================================================
* Device #7: Intel(R) HD Graphics 530, 3167/3231 MB (1615 MB allocatable), 23MCU
OpenCL API (OpenCL 3.0 CUDA 12.0.94) - Platform #2 [NVIDIA Corporation]
=======================================================================
* Device #8: NVIDIA GeForce RTX 3090, skipped
* Device #9: NVIDIA GeForce RTX 3090, skipped
* Device #10: NVIDIA GeForce RTX 3090, skipped
* Device #11: NVIDIA GeForce RTX 3090, skipped
* Device #12: NVIDIA GeForce RTX 3090, skipped
* Device #13: NVIDIA GeForce RTX 3090, skipped
Minimum password length supported by kernel: 0
Maximum password length supported by kernel: 55
Minimim salt length supported by kernel: 0
Maximum salt length supported by kernel: 102
Hashes: 1 digests; 1 unique digests, 1 unique salts
Bitmaps: 16 bits, 65536 entries, 0x0000ffff mask, 262144 bytes, 5/13 rotates
Applicable optimizers applied:
* Optimized-Kernel
* Zero-Byte
* Precompute-Init
* Early-Skip
* Not-Iterated
* Appended-Salt
* Single-Hash
* Single-Salt
* Brute-Force
* Raw-Hash
Watchdog: Temperature abort trigger set to 90c
cuMemAlloc(): out of memory
Started: Mon Dec 05 01:16:22 2022
Stopped: Mon Dec 05 01:16:35 2022
any help please
RE: cuMemAlloc(): out of memory - Chick3nman - 12-05-2022
You have --force enabled and should read the warning present.
Ignoring that for a second, you have 6x 3090 but almost no system RAM. You should have 144gb of system RAM to account for the possible addressing from VRAM to RAM.