philipma1957 (OP)
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Activity: 4172
Merit: 8070
'The right to privacy matters'
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May 21, 2018, 11:40:27 PM |
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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.
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fr4nkthetank
Legendary
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Activity: 2294
Merit: 1182
Now the money is free, and so the people will be
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May 22, 2018, 01:30:40 AM |
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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.
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Elder III
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May 22, 2018, 01:32:54 AM |
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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.
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Marvell2
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May 22, 2018, 01:36:13 AM |
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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
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cryptotore
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May 22, 2018, 01:38:02 AM |
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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!
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rs1x
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May 22, 2018, 01:51:59 AM |
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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.
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Max Likelihood
Jr. Member
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Activity: 140
Merit: 2
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May 22, 2018, 02:30:17 AM |
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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.
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R0mi
Full Member
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Activity: 305
Merit: 148
Theranos Coin - IoT + micro-blood arrays = Moon!
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May 22, 2018, 03:07:55 AM |
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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!
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Walton Chain CEO Mo' Bling: "Walton Chain will be the Qualcomm + Cisco in the blockchain industry, the ‘Google’ of the Blockchain." It's December 1999, do you know how your shitcoin holdings are doing? Magic 8 ball market analysis: www.doiownashitcoin.com
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jmigdlc99
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May 22, 2018, 03:21:30 AM |
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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.
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0xacBBa937A57ecE1298B5d350f40C0Eb16eC5fA4B
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vapourminer
Legendary
Offline
Activity: 4382
Merit: 3674
what is this "brake pedal" you speak of?
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May 23, 2018, 12:38:06 AM |
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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 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.
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philipma1957 (OP)
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Activity: 4172
Merit: 8070
'The right to privacy matters'
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May 23, 2018, 12:45:49 AM |
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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 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.
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JaredKaragen
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Activity: 1848
Merit: 1165
My AR-15 ID's itself as a toaster. Want breakfast?
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May 23, 2018, 04:25:02 AM |
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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 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...
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arielbit
Legendary
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Activity: 3416
Merit: 1059
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May 23, 2018, 10:19:05 AM |
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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 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.
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dragonmike
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May 23, 2018, 11:57:09 AM |
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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.
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KriptoPenz.info
Newbie
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Activity: 12
Merit: 1
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May 23, 2018, 02:05:22 PM |
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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 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.
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philipma1957 (OP)
Legendary
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Activity: 4172
Merit: 8070
'The right to privacy matters'
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May 24, 2018, 01:53:52 AM |
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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=UTF8it is fast and pretty good price for a 256gb stick that is basically an ssd.
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Marvell2
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May 24, 2018, 05:34:15 AM |
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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
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adaseb
Legendary
Online
Activity: 3808
Merit: 1723
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May 24, 2018, 05:48:38 AM |
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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.
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Unisonal
Newbie
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Activity: 27
Merit: 1
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May 24, 2018, 06:35:49 AM |
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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 I bought three refurbished Corsai PSU 1200AXI, two died just after a year. The warranty was one year.
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