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+--- Thread: Using CPU and GPU in a cloud instance.. (/thread-8347.html)
Using CPU and GPU in a cloud instance.. - TheoJones - 05-10-2019
Hi folks,
been using hashcat with good results on my home gaming rig (decently fast quad core Intel CPU and a GTX 1080), however, concerns about proper handling of customer data means I need to move away from the current BYOD model.
As a solution, I'm using hashcat 5.1.0 on an Azure NV24 series VM instance (24 CPU vCores, 4 Tesla M60 GPUs). It's Ubuntu 18.04 with the Microsoft/Nvidia drivers installed. (accoridng to https://docs.microsoft.com/en-us/azure/virtual-machines/linux/n-series-driver-setup ) all nicely recognised by nvidia-smi
The GPU performance is bearable - I can get just slightly more out of four Tesla vGPUs as I can out of my physical 1080..
OpenCL Platform #1: NVIDIA Corporation
======================================
* Device #1: Tesla M60, 2032/8129 MB allocatable, 16MCU
* Device #2: Tesla M60, 2032/8129 MB allocatable, 16MCU
* Device #3: Tesla M60, 2032/8129 MB allocatable, 16MCU
* Device #4: Tesla M60, 2032/8129 MB allocatable, 16MCU
Benchmark relevant options:
===========================
* --optimized-kernel-enable
Hashmode: 1000 - NTLM
Speed.#1.........: 18779.7 MH/s (27.20ms) @ Accel:64 Loops:512 Thr:1024 Vec:2
Speed.#2.........: 18357.1 MH/s (27.88ms) @ Accel:64 Loops:512 Thr:1024 Vec:2
Speed.#3.........: 18856.1 MH/s (27.08ms) @ Accel:64 Loops:512 Thr:1024 Vec:2
Speed.#4.........: 19772.7 MH/s (26.82ms) @ Accel:64 Loops:512 Thr:1024 Vec:2
Speed.#*.........: 75765.5 MH/s
My concern is - I can't get hashcat to recognise the CPU cores. tried installing an OpenCL sdk for Intel (from here; https://launchpad.net/~intel-opencl/+archive/ubuntu/intel-opencl ), without joy.
The GPU performance is okay - but given the pricing model in Azure, it seems wrong to leave 24 cores sat doing nothing and paying for them.
any ideas folks?