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Topic: 8th Alt coin thread. Or what to do now that asics are all over the place. - page 94. (Read 81547 times)

legendary
Activity: 3808
Merit: 1723
 corsair.com has a  sale    MEMORIAL2018   is discount code on all refurbished goods.

So the 1500 watt titanium ax1500i  refurb  is 350 -20% =  280  pretty good price

the rm1000x refurb is 140 - 28 = 112 good price for a 1000 watt gold psu.

I go9t this item

Flash Voyager® GTX USB 3.0 256GB Flash Drive (Refurbished)
CMFVYGTX3-256GB/RF
In Stock
Extra 20% Off Certified Refurbished!



https://www.amazon.com/Corsair-Flash-Voyager-256GB-CMFVYGTX3-256GB/dp/B00LJWSHT4/ref=cm_cr_arp_d_product_top?ie=UTF8

it is fast and pretty good price for a 256gb stick that is basically an ssd.
cant pay me to buy a refurb psu, 1 in 5 regular 5 year warranty psus will die wit continuous mining use i have found in 2 - 4 years on average, brand doesn’t matter, rossville quarks, evga platinums, xfx plats etc etc

u have 10 psu sitting here waiting for waranty returns along with 30 amd gpus lol

waranties matter folks, a refurb waranty is 1 year, just enough time for it to die and leave u stuck with a brick

theres a reason why most platinum psu vendors offer 5 to 10 year waranties

Ive purchased many refurbished computer equipment and never had an issue.

If anything it's better than buying new because they test the equipment before they sell it.

Most of the refurbished products even have a warranty included.

However I guess it's your mileage may vary.
full member
Activity: 1148
Merit: 132
 corsair.com has a  sale    MEMORIAL2018   is discount code on all refurbished goods.

So the 1500 watt titanium ax1500i  refurb  is 350 -20% =  280  pretty good price

the rm1000x refurb is 140 - 28 = 112 good price for a 1000 watt gold psu.

I go9t this item

Flash Voyager® GTX USB 3.0 256GB Flash Drive (Refurbished)
CMFVYGTX3-256GB/RF
In Stock
Extra 20% Off Certified Refurbished!



https://www.amazon.com/Corsair-Flash-Voyager-256GB-CMFVYGTX3-256GB/dp/B00LJWSHT4/ref=cm_cr_arp_d_product_top?ie=UTF8

it is fast and pretty good price for a 256gb stick that is basically an ssd.
cant pay me to buy a refurb psu, 1 in 5 regular 5 year warranty psus will die wit continuous mining use i have found in 2 - 4 years on average, brand doesn’t matter, rossville quarks, evga platinums, xfx plats etc etc

u have 10 psu sitting here waiting for waranty returns along with 30 amd gpus lol

waranties matter folks, a refurb waranty is 1 year, just enough time for it to die and leave u stuck with a brick

theres a reason why most platinum psu vendors offer 5 to 10 year waranties
legendary
Activity: 4256
Merit: 8551
'The right to privacy matters'
  corsair.com has a  sale    MEMORIAL2018   is discount code on all refurbished goods.

So the 1500 watt titanium ax1500i  refurb  is 350 -20% =  280  pretty good price

the rm1000x refurb is 140 - 28 = 112 good price for a 1000 watt gold psu.

I go9t this item

Flash Voyager® GTX USB 3.0 256GB Flash Drive (Refurbished)
CMFVYGTX3-256GB/RF
In Stock
Extra 20% Off Certified Refurbished!



https://www.amazon.com/Corsair-Flash-Voyager-256GB-CMFVYGTX3-256GB/dp/B00LJWSHT4/ref=cm_cr_arp_d_product_top?ie=UTF8

it is fast and pretty good price for a 256gb stick that is basically an ssd.
newbie
Activity: 12
Merit: 1
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162

ive known those built in windows tools exist but ive never actually tried them. im so used to reflect, its so reliable and ive been using it for so long, that i never bothered with anything else. being free for personal use helps of course Smiley

never thought to build a  baseline windows miner image. good idea, that would save some time with all the updates and tweaks that need to be done for deploying a typical new rig.

i wonder how well an image would tolerate a chipset change, like from B250 to Z370 or something.

+1 on Macrium Reflect Free, easy to use, boot from USB stick, restore the image fast. You can also mount and browse to image files.
The Windows built in image backup thingy was pretty cumbersome and unreliable, I haven't use it for years, cos once you try Reflect you never go back.
hero member
Activity: 1274
Merit: 556
Well since we're talking about technical solutions for mining rigs...

A buddy of mine is looking at RX 570's to build a couple more rigs. He's looking at Gigabyte Aorus GPUs. Does anybody know what fans they are using? Are they ball-bearing? I have a few Asus Expedition OC's which have ball bearing fans (so less prone to breaking down than sleave bearing counterparts), but Gigabyte doesn't specify on their page.
legendary
Activity: 3444
Merit: 1061
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162

ive known those built in windows tools exist but ive never actually tried them. im so used to reflect, its so reliable and ive been using it for so long, that i never bothered with anything else. being free for personal use helps of course Smiley

never thought to build a  baseline windows miner image. good idea, that would save some time with all the updates and tweaks that need to be done for deploying a typical new rig.

i wonder how well an image would tolerate a chipset change, like from B250 to Z370 or something.

i use norton ghost from a bootable cd...i have a few 80gb seagate and WD  sata hdds, some are running from 2013, all are surplus HDDs....if a HDD is corrupted, i just change the HDD and replace it with a clone..

during my free time i just clone/test the HDDs ready to replace any HDD on any rigs....all are compatible/interchangeable for all my rigs without any OS issues.

my windows rigs are still windows 7.
legendary
Activity: 1848
Merit: 1166
My AR-15 ID's itself as a toaster. Want breakfast?
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162

ive known those built in windows tools exist but ive never actually tried them. im so used to reflect, its so reliable and ive been using it for so long, that i never bothered with anything else. being free for personal use helps of course Smiley

never thought to build a  baseline windows miner image. good idea, that would save some time with all the updates and tweaks that need to be done for deploying a typical new rig.

i wonder how well an image would tolerate a chipset change, like from B250 to Z370 or something.

it did not do well on win7 but on win10 it seems to work.

same comment.   on windows 7 ISO's ive successfully used the integrated package manager to modify and repack the necessary parts of the install disk...  I can install 7 on some pretty old machines, and even the newer X99/z270/etc boards that didn't have drivers in the ISO for basic system components.    Since Im always upgrading to 10 on the machines when able, installing 7 is a necessary precursor step for the "free upgrade" which seems indefinite.

I haven't unpacked and added drivers to the 10 image yet;  I would assume there's a similar package manager for rebuilding it after adding files/drivers/configs....  I remember following the microsoft official how-to on adding a driver to the install disc.

I remember installing XP on a Pentium 60mhz.....  They kinda limit that sort of activity in newer os's...
legendary
Activity: 4256
Merit: 8551
'The right to privacy matters'
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162

ive known those built in windows tools exist but ive never actually tried them. im so used to reflect, its so reliable and ive been using it for so long, that i never bothered with anything else. being free for personal use helps of course Smiley

never thought to build a  baseline windows miner image. good idea, that would save some time with all the updates and tweaks that need to be done for deploying a typical new rig.

i wonder how well an image would tolerate a chipset change, like from B250 to Z370 or something.

it did not do well on win7 but on win10 it seems to work.
legendary
Activity: 4354
Merit: 3614
what is this "brake pedal" you speak of?
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162

ive known those built in windows tools exist but ive never actually tried them. im so used to reflect, its so reliable and ive been using it for so long, that i never bothered with anything else. being free for personal use helps of course Smiley

never thought to build a  baseline windows miner image. good idea, that would save some time with all the updates and tweaks that need to be done for deploying a typical new rig.

i wonder how well an image would tolerate a chipset change, like from B250 to Z370 or something.
member
Activity: 72
Merit: 11
when you have a stable setup make a disk image of the OS. that way if you blow the OS or drivers away just load the good image back on and good to go.

i use macrium reflect free. saved me a lot of grief many times. both miner rigs and my other computers. anytime i change something and it works i make a new image.

https://www.macrium.com/reflectfree

Additionally you could also try the built-in tools in Windows 7 and 10. On Windows 10 you can create a System Image on any external hard disk that can be used to image an other computer using the repair and recovery tools found in any Windows 10 installation DVD or usb-stick.

This method might work as a quick way to deploy Windows installations too. Remember that you may have to re-license and activate Windows, if it's not already licensed on the target computer. Otherwise you will get an activation notice.

Create system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10/how-to-create-a-system-image-in-windows-10/84fa6683-e3ac-4e93-9139-368af9267869

Restore system image:
https://answers.microsoft.com/en-us/windows/forum/windows_10-update/how-to-restore-a-windows-10-system-image-to-an/e20992ca-5641-4f7c-bb09-3895d0732162
sr. member
Activity: 784
Merit: 282
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.

Even if you were in finance, Bitmain would need to be public for you to invest. Seeing the way the operate they would probably have no need for public funding and would rather keep the money within themselves. Or is there a way to invest in bitmain? Buying ASICs seems to only be a way to get fucked by Bitmain.

I completely agree with you though, AI is the future and Bitmain will be a big player based on the direction they are going.
full member
Activity: 305
Merit: 148
Theranos Coin - IoT + micro-blood arrays = Moon!
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.

AI is more than that. It is national security as well. Go team Intel!
jr. member
Activity: 140
Merit: 2
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.

One possibility is that given a finite supply of fpgas, comerical companies focused on AI development may represent a more profitable buying base for Bitmain. Of course some of their fpgas may go to miners too, I just wonder how much they will initially be targeting Big Tech companies whose purchasing power dwarfs that of the mining community.
full member
Activity: 284
Merit: 102
Does anyone know if you can dual boot HiveOS with Windows 10? I was thinking of putting HiveOS on a USB drive and seeing if it will work on a system that's already setup with Windows 10 on SSD. If I just choose HiveOS as the primary boot drive in the Bios it should work (I think). I have no experience with HiveOS though, so I thought I'd ask before spending time on it.

You can configure your boot order in your bios. So you could tell it to boot from USB first, and get to hiveos. You don’t have usb drive plugged in it will hit the SSD.

It should be no problemo.
sr. member
Activity: 324
Merit: 250
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.

Antminer B3 is the first fpga with the ai stuff I think, CCTV facial recognition inc! Cheesy
full member
Activity: 1148
Merit: 132
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.
its a private company they have billions they dont need investors
sr. member
Activity: 1246
Merit: 274
Does anyone know if you can dual boot HiveOS with Windows 10? I was thinking of putting HiveOS on a USB drive and seeing if it will work on a system that's already setup with Windows 10 on SSD. If I just choose HiveOS as the primary boot drive in the Bios it should work (I think). I have no experience with HiveOS though, so I thought I'd ask before spending time on it.
legendary
Activity: 2294
Merit: 1182
Now the money is free, and so the people will be
Here I found something interesting randomly:

"Dr. Randy Huang, FPGA Architect, Intel Programmable Solutions Group, and one of the co-authors, states, “Deep learning is the most exciting field in AI because we have seen the greatest advancement and the most applications driven by deep learning. While AI and DNN research favors using GPUs, we found that there is a perfect fit between the application domain and Intel’s next generation FPGA architecture. We looked at upcoming FPGA technology advances, the rapid pace of innovation in DNN algorithms, and considered whether future high-performance FPGAs will outperform GPUs for next-generation DNNs. Our research found that FPGA performs very well in DNN research and can be applicable in research areas such as AI, big data or machine learning which requires analyzing large amounts of data. The tested Intel Stratix 10 FPGA outperforms the GPU when using pruned or compact data types versus full 32 bit floating point data (FP32). In addition to performance, FPGAs are powerful because they are adaptable and make it easy to implement changes by reusing an existing chip which lets a team go from an idea to prototype in six months—versus 18 months to build an ASIC.”"


That was from last year.  In fact, more than a year ago.  Bitmain is going after AI.  AI is deeplearning.  Self driving cars.  Recognition software.  Billions of dollars. 

Bitmain is going to eat NVIDIAs lunch.  I would invest in Bitmain if I still was in finance.
legendary
Activity: 4256
Merit: 8551
'The right to privacy matters'
Mine the non-asic coins like:

Monero, Masari, or Nerva

if you only mine monero & rvn it's a mistake ..you only dump the price of the only coins "gpuminer-friendly"
we must also mine zec, eth & all those others coins that didn't fork
we mine and sell them to dump their price! (until asics are too many & difficulty too high for a gpu of course)
wouldn't it make more sense ?

Wow a really hard question to answer.

The fail is not the miners.
The fail is not bitmain or any asic builder
The fail is not the gpu builder.

The fail rests in the hands of developers.
They had no real plan to resist asics.

Btw Pow to pos back to pow with a fork each time you come back would encourage

 mine and hold to stake for the pos time period.
And only in only mined coins good for staking.

ETH could do this since asics don’t fully kick the butts of gpus.
legendary
Activity: 1848
Merit: 1166
My AR-15 ID's itself as a toaster. Want breakfast?
In for replies.  Can't comment yet; need to finish off at work first, but at least I have the thread saved Wink
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