05-10-2019, 10:20 PM
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/v...iver-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/+arc...tel-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?
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/v...iver-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/+arc...tel-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?