MeisterLampe82

Oh. EVE the company. Not EVE the game.

thats why they have a cooldown after you guess a password. 3 seconds after every mistake = .3H/s
 
this reminds me of something:
https://xkcd.com/936/

The following is a collation of issues I've found from other forum posts, articles and personal experience that are resulting from installing the latest Windows 10 update. The update is the January 2018 (KB4056892) fix for Spectre/Meltdown.
Feel free to add any posts with additional issues you've had and been able to link to the Windows Update.
 
Collation of issues found with Windows 10 Update – January 2018 (KB4056892)
·       Update reported as failed to install, possible error code 0x80070643. If this occurs check for updates and it should correct the issue.
 
·       Update causes blue screens after restarting, can’t boot back into windows.
Error codes include Watchdog_Timeout_Error, Inaccessible_Boot_Device,
If this occurs, hopefully the Automatic Repair tool will start and fix the startup issue. Sometimes this will successfully uninstall Update KB4056892, allowing you to boot back into Windows. Once back into Windows, immediately Disable the “Windows Update” service (Control Panel > Administrative Tools > Services).
 
If you can’t get back into Windows because the automatic repair fails, you will need Windows Recovery/Install media to boot from. Then you can try returning to a previous Restore Point (if it lets you), or from a Windows Backup (if you made one). Otherwise you may have no choice but to reinstall Windows.

There is some factor in your PC that is causing the update to fail/kill Windows installations. I’ve yet to find out what, but in the mean time disabling the update is the only solution until Microsoft issues a fix.
 
·       Asus AI Suite not loading. There currently aren’t any updates of the AI Suite and Q-Fan software which is known to work with the KB4056892 update. So, if you need to run AI Suite, or Q-Fan then unfortunately you must uninstall KB4056892. There is the following report, however, that might work for AI Suite
 
So, to fix ASUS AI Suite 3 issues on Windows 10, first download the latest AI Suite 3, right click the zip file and select “Properties”.
Select the “Unblock” check box and hit OK. Unzip the zip file and run AsusSetup.exe as Administrator. Keep in mind that your need to unblock the ZIP first before you extract the files. Reboot your computer and the AI Suite 3 should work smoothly now.
 
·       Other programs including browsers crashing or not loading. The first advice right now for these issues is to make sure to download and do a fresh install of the latest versions of these programs. It has known to help Firefox and Chrome to do this. There is also the option to uninstall the update, and this should make the other programs work again.
 
 
Sadly, most of the fixes around this update is to uninstall it and prevent it from reinstalling. So much for patching the potentially biggest security flaw in the last 10 years.

to expand on my NO!!!!!!!!!!! earlier that wasn't a don't buy Ryzen ever, that was a DON'T DO IT RIGHT NOW, Coffee Lake is according to rumors just weeks away, if you bought Ryzen today you might be like those people that paid 700 bucks for a GTX 1080 at the end of February only to have the 1080ti drop and with it a price drop on the card they just bought. EVERYONE should wait and see where things land after Coffee Lake launches and to those that want to complain about Intel changing up sockets, BUY A BETTER CPU TO START WITH, as exampled by the charts in this video a 2600k Intel from 4 and a half YEARS AGO is still a very valid chip even compared to Ryzen and even some of the Intel offerings showing that if you START with a good chip that chip will outlast the socket regardless of which team you chose.

Greetings! I'm SamCa, modder from Philippines.
Huge thanks to EVGA and COOLER MASTER for the support!


I will be building project "Winged Victory of Mercy" The mod was inspired from the the greatest masterpiece of Hellenistic sculpture, Winged Victory of Samothrace...  

....with a mix. The design will be combined with Angela Zeigler aka Mercy (from Overwatch).
I decided to pick her because she perfectly fits as the "modern angel" of the mod.     SPECS:
Intel Core i7 6700
EVGA Z270 FTW K
EVGA GTX 1070 FTW
EVGA 16GB DDR4-2666
EVGA SUPERNOVA G3 1000W
COOLERMASTER MASTERFAN PRO 120
Western Digital 1TB
BYSKI watercooling parts
 
I modeled her into the looks of the statue and the planned scratch case.
I will be using metal bars for it's base to support the motherboard, gpu, psu, rads ,reservoirs and specially the radiator .  

The Motherboard is placed below together with the reservoir and gpu. The storage devices and psu will be inside the body. (I will make a mechanism in which i could open the body to expose the storage parts and psu) the radiator is placed at the top as well the fans with it. The watercooling tubes will be sketched throughout the build.   For the armor, I will be using fiberglass and resin. For the other details like the wings, i will be using acrylic sheets.  
 

Hey LinusTech team,
My son is a huge fan of yours  Though he's too young to be left unsupervised on an internet forum  
I find your videos amusing. 
I especially enjoyed your 8 gamers 1 CPU video and thought I might return the favor.
 
Background : I work at an AI company and we got delivery of new toys today.
The servers are the updated SuperMicro SYS-4028GR--TRT2, dual socket with all 10 GPUs being on the same PCIe root complex. I think PLX switches ofc but cant confirm model number.  
Contrary to popular belief, PCIe switches dont add much latency but this beauty has a penalty of 1 us per switch hop. 
Having all GPUs on the same root complex is nice for many reasons. I refer the reader to a nice article from Cirrascale -> http://www.cirrascale.com/blog/index.php/exploring-the-pcie-bus-routes/
So in effect by cutting out the Infiniband fabric out of the computation path, we see nice strong scaling across increasing GPU counts. Hugely beneficial for TensorFlow et al
 
1) The output of nvidia-smi is the most awesome thing I have seen on konsole in the past 2 years  J.K.
 
cluster|17:41:59: nvidia-smi
2) The PCIe topology of the GPUs can be easily queried like so :
cluster|17:45:40: nvidia-smi topo --matrix  
 
 
 
3) You can see in the image above the NVLink field present, though the PCIe version doesnt have it. 
The specs I Ctrl C+V from the invoice are : 
10x PCIex16 NVIDIA® Tesla P100 GPU-NVTP100-16
16GB CoWoS HBM2 PCIe 3.0 -- Passive Cooling
Brand NVIDIA / Product Name Tesla P100
Part Number GPU-NVTP100-16
Double-Precision Performance 4.7 TeraFLOPS
Single-Precision Performance 9.3 TeraFLOPS
Half-Precision Performance 18.7 TeraFLOPS
PCIex16 Interconnect Bandwidth 32 GB/s
CoWoS HBM2 Stacked Memory Capacity 16 GB
CoWoS HBM2 Stacked Memory Bandwidth 720 GB/s
Thermal Passive
 
Our other systems on order are these -> http://www-03.ibm.com/systems/power/hardware/s822lc-hpc/ 
Which have the nice NVLink feature enabled in CPU (IBM  POWER8 ) which allows us to page-fault CPU RAM on demand. Useful when your convnet has 10^10 parameters
In fact, if one were observing closely, I think OpenPOWER IBM will start to chip away at Intel's dominance in  x86 enterprise.
 
4) Rest of the system specs are not so special as the topology and the pascals.
2x Xeon E5-2643v4 ( you really need high clocked CPUs with non-AVX turbos upto 3.7 GHz to really utilize these GPUs. HIgh core count at low clocks is a strict no-no)
1024 GB RAM, Intel DC S3100 SSDs in RAID 0 for local cacheing & Mellanox ConnectX 4x aggregated EDR infiniband HCAs.  
 
5) Output of deviceQuery ( only the CUDA devs among you will be impressed by this   ) :   
 

 
6 ) Bandwidth Tests : 
In the 3rd test you see that  HBM2 technology shine ( this is not a benchmark ), though it can still be much higher  

 
7) p2p bandwidth & latency [ The inter GPU communication stuff ]
This roughly ensures that the added premium the comapny pays for  all slots to be on the same root, is actually there. You can see the 1 us addtional hop latency i talked about earlier. 
 

 
 
7) And finally a benchmark
I'll give just 1, since this isnt a "gaming" GPU though you still can, no game benchmarks. I assure you all it can run Crysis  CUDA & NN benchs wont be of interest to this audience.
So I give the LuxMark bench v 3.1, which is an OpenCL raytracer. Its a shame there isnt a CUDA version of it, since its common knowledge Nvidia handicaps openCL on their chips.
The 1st is from my personal GPU, an EVGA 980 Ti & the 2nd sc-shot is of the server. Enjoy & drool  (I cant game on it either, haha)