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whoa hey no that's not how you do it

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geez i don't think nzxt sponsored this video

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so we could chop up their hardware

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they sponsored it so we can show you guys how to take a single gaming rig

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like this build pc and split it into two or even more virtual gaming machines so

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you and a couple buds can pool together and share a single

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working GPU even if not everyone can get their

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hands on their own graphics card super cool right

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let's show you how it works

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splitting a GPU used to be a huge challenge for a number of reasons first

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and foremost being that NVIDIA didn't want you to you see NVIDIA locked down

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the ability to virtualize their consumer gpus taking one physical card and

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dividing it up into multiple virtual ones and for years they have only

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allowed this functionality on their workstation and data center cards like

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the quadro tesla and grid series these artificial software limitations

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have allowed NVIDIA to price those other cards vastly higher than their GeForce

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options and remember how i said there were a number of reasons there weren't

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NVIDIA kept you from sharing your GPU resources because they wanted to charge

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more for the capabilities shocker i know but we've got a trick up our

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sleeves today everyone's favorite Windows specifically Windows 11 and some

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fancy tech called para virtualization para virtualization differs from

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standard virtualization by communicating directly with the hypervisor using

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drivers rather than through hardware level calls so while spinning up a

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virtual machine or a vm setting up the hardware and software and actually

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getting to a workable vm used to take a lot of skill and time

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the key word there is used to thanks to a cute little script aptly

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named easy gpup p is for partitioning

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which was written by one of parsec's developers almost all of the work of

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setting up a Windows vm is done for you it divvies up your hardware installs

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your os and drivers and of course installs parsec but that's not just

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because they want to shield their software it's kind of the secret sauce

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that makes this whole thing work but before we get to that we need to talk

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about the limitations of the setup but the most important one being hardware

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outputs while the virtual machines we create are

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able to borrow our GPU's processing power and its onboard memory they cannot

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borrow the physical display outputs think of it kind of like this we can

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slice our GPU up this way where one of the virtual machines ends up with all of

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the outputs but we can't slice it up this way where each one gets its own

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output that is where parsec's cloud gaming software comes into play it's able to

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snag an encoded video feed from each of our vms and then stream it to a

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different device like a low-powered pc a

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macbook or even a phone before we can even think about splitting

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a GPU up though we're gonna need to get one fortunately our friends over at nzxt

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build sent over a sweet pre-built system that is absolutely perfect for this kind

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of use case it's got a ryzen 9 5950x 16

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core processor and a near top of the line rtx 3080 ti

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of course you can check out this rig at the link down below but you don't need specs like this to be

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able to do this we tested a handful of modern gpus with really amazing results

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though your mileage may vary and one thing to note is that you must split

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your GPU's video memory evenly between each vm so if your GPU is light on vram

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you may have issues gaming on more than a couple of vms since we're starting

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with two vms and one of these 3080 ti's

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that's gonna give us six gigs each now regular system memory can be divided

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up any way you like just like with regular vms but since we've got a total

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of 32 gigs of RAM and most modern games are asking for eight gigs or more we're

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gonna divide them up with eight gigs per via now we'll get into more details

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later but for now we've got hyper-v manager open on our monitor but

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very funny by deskpad ltdstore.com so

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hyper-v manager open on our monitor we're going to go ahead and fire up a

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couple of our vms here we've got GPU p1

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and GPU p2 for player 1 and player 2.

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each of these was configured with four of our 16 ryzen cores and as i mentioned

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before eight gigs of RAM fortunately the parsec script that we

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linked in the description did all the heavy lifting leaving us with just

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games to install here we are yay

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but before we fire them up we've got a couple of housekeeping items to take care of first and foremost is the fact

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that these Windows are limited to 1080p resolution which doesn't sound like a

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huge problem until you remember that the 3080 ti in this machine is capable of

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way higher resolutions than that that

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is where cheap little displayport or HDMI dummy plugs like these ones come in

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even though we can't actually use the physical ports on our GPU to plug into a

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monitor for each vm if you plug these in they can trick the

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GPU into thinking that a monitor is connected which actually unlocks the

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resolution selector in Windows so we go ahead and set that to 4k on each of our

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vms and it's time to see how a 3080 ti

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handles two concurrent 4k gaming sessions

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it's pretty cool right if you want to mirror it to both one and

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two then we can get a display here so people can see it sure i can do that

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first i'm going to set it to 3840x2160

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duplicate is not an option no interesting well um i guess you won't be

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peeking into what we're doing from over there let's for the first time in my

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life run two games at once on the same GPU on two separate machines colin you

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can be my counter-strike friend i am only at 1080p right right right right

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we'll get to the we'll get you the real performance numbers later the developer ran into a bit of a weird

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issue where for whatever reason that one vm is not

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able to do 4k uh but he's replicated on

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his side he's working on it okay this is not the most amazing performance ever

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but i'm at 60fps oh it's going david

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it'd be like whoa dawg what is this two

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games running at once oh someone's spawn

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camping us yeah they're all spawn camping us how rude come on it's

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counter-strike what'd you expect yeah that's fair i'm going back to 1080p okay

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we got a match to win here colin sure fair i mean i'm getting like 200 FPS

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yeah i want more like that my game is dead

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i'm gone steam is closed why did you do this and it's beautiful here

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terrible there oh yeah don't look at that and think

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that that is representative of the gaming experience at all hey still i got

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two kills okay okay but we're playing video games we're playing video games on

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one GPU and one CPU and we're both getting like 150 to 200 FPS yes

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david does this blow your mind yeah yeah he just shot me direct like

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straight through the door yeah but he could see like like he was

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tracking me i swear hax hacks question for you then in total we're

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getting about 400 FPS between the two of us on that GPU so running a single

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instance at 1080p what were we getting i only ran it at 4k balls well but at 4k

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we're getting 462 FPS so theoretically assuming that we are

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still CPU limited i have no idea i just don't

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even know what to expect from this like when you split the GPU across multiple workloads in a

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game like cs go where you're typically CPU rather than GPU bound could you

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potentially end up with more FPS's or less fpss

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it looks like a little bit less right now

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given that we're running 1080p but

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what if we were to split it more ways

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would it scale better or worse we can find out i guess we can as

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impressive as it is that this is running at all i'm sure what you really want to know is

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objectively speaking how well is it running right so right now we're getting

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anywhere from 350 to 400 FPS shared between the two of

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us right so how does that compare to running this same card

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but just in a single instance on bare metal

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even though we only have one of these running at 4k right now we've actually

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got some numbers for you so cs go on a

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single 3080 ti managed about

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460 FPS average then with our 50 vm so this is half of a

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3080 ti we managed 175 FPS so it looks

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like we actually do get less than half

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of the performance the scaling is not perfect which is i have to admit not

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quite what i expected csgo being a mostly CPU-bound game i would have

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thought would allow our GPU to stretch its legs more but who knows maybe we're

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not dividing it up enough we've got more demos right we do got

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more demos all right let's try let's try something new yeah i know i'm averaging

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like 50 FPS even in fairly busy parts of town 40

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dipped down to 40. my 99th percentile is like 25

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that is absolutely playable in a game like this so to be

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clear anno 1800 not the world's most

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demanding game but it's also not the

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world's easiest to run game like this all this is all very reasonable 80

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degree hotspot like fine yeah that thing's not working that hard actually

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so dual cs goes is for whatever reason

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heavier than dual anodes

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is that because

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the CPU is scaling really well in cs go

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and making it so hold on i got to win lunch so GPU usage is right up around 70

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75 i'm surprised it's not just pinning it i

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wonder if the host vm is using some of it could be

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clearly it works and all things considered it was actually pretty easy

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to set up colin here who set up and wrote this video has literally never

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touched hyper-v yet he was able to get this up and

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running in a couple of hours so what does it take to do it well apart

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from what we've already mentioned you're going to need a pro or enterprise

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version of Windows 10 or Windows 11. we would suggest the latter as it is a bit

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easier you start by downloading the files from the easy gpup github and extracting them

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to your desktop then you grab the latest drivers for your GPU from NVIDIA's

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website directly now comes the most important step you

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need to enable virtualization both in the BIOS

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and in Windows now on most systems you'll find the BIOS

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settings under CPU settings and they'll either be called svm mode on AMD or

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Intel vtx on well Intel

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save and reset and once you're back into Windows hit the Windows key and type

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turn Windows features on or off scroll down to hyper-v and enable

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everything inside and reboot your pc while it's booting by the way why not

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hit the subscribe button we've got a lot more cool Windows 11 content planned

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like running it on a phone now that our operating system is set up

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properly we can run the easy gpup scripts because it's possible that these

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steps will change i'm going to refer you to the github page to find the latest

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information and if you get stuck the linustechtips.com forum is a great

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resource once you configure your script you can rerun it over and over to keep

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making vms just make sure to change the vm name each time before creating

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another and remember that NVIDIA limits the number of concurrent end bank

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encoding streams to three on their consumer graphics cards meaning the

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practical player limit is four one local and three remote ones

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if you did everything right in hyper-v manager you should see your new vms just

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like we saw earlier you double click the vm to boot it up and then you can

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install your games and configure parsec now all that's left is for us to go

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ahead and make three vms each with four

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CPU cores 25 of our GPU and eight gigs

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of RAM to see if we can run four gamers off this single CPU and GPU

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which which one is alt is it command is that command is win key oh it's got to

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be option okay um

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i think we might just have to lose the macbook it was a funny meme but uh we're

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just we're having this game we're having some issues hey

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macbook works oh heck yeah i got my LTT

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crew it's Linus and the Linus tech tips

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okay that's a cue Mac Address you know and it's like you're the little brother

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and he's just holding the controller but not actually doing anything yeah this is

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what i feel like right now i think we're doing it guys oh i'm playing oh i got

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one wait i killed ltd benchmark tertiary

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we're not all on the same team so we're actually getting a grand total

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of around 300 frames per second does that sound about right to y'all jeff's

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experience being on like native is clearly better uh yeah that looks a

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little more responsive because i'm i'm getting a lot of chop on

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my own look like that wow oh let's go

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yeah with only a quarter of the GPU he's still getting like 150 180 FPS

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GPU's definitely working harder than it was with anno right now though

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you know what though i actually don't think it's working as hard as it was with two instances of cs go can you all

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tab for a sec whoa GPU core load is 98

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i lied i think the fan's just running heavier okay

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remember guys not only is it running four instances of the game but it's also

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running four instances of NVIDIA's hardware and coding oh there's a guy

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there and theoretically that hardware encoder

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is sort of separate hardware but in practice it does put additional strain

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on the GPU it does produce additional heat when it's operating and so it can

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affect your overall performance so how do i change guns so press b to

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buy guns oh yeah what's to buy yeah you

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have to buy guns i mean logically imagine what this would be capable of if

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NVIDIA allowed us to access them locally

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rather than remotely you could have a single gaming machine in the middle of a

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big table and just have four separate sets of peripherals hooked up to it and

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all be playing a game off the same hardware that's freaking incredible

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but the 3080ti is pretty expensive what

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if we tried it with something more reasonable like a 2070 super we did

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and as long as you're only gonna play fairly light games things like rocket

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league it's actually surprisingly usable as well

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though there are some things to note about this setup if you're going to try

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it for real hardware that crazy like top of the line is not

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strictly necessary but it definitely helps and perhaps even more important is

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your network speed parsec suggests having an upload speed of over 50

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megabit per second if you plan on hosting two or more vms over the

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internet and even if you're running locally you will need a directly wired

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connection wi-fi or mesh networking might have the throughput for modern

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applications like 4k netflix or what have you but their latency is not nearly

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good enough for this you may also encounter some black

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screens with Windows security prompts and stuff like that so having parsec

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access to the host as well as the vms is a good idea so you'll be able to squash

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those little interruptions another thing is you should definitely

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temper your performance expectations as we found 400 FPS on bare metal

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absolutely does not result in four times 100 FPS on four vms you'll also need a

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Windows license for each of your vms definitely don't just spin up a new one

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whenever your license expires another thing to discuss is the cost

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you're absolutely saving some money using a single machine to run four

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instances instead of four separate machines you only need one case you only

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need one power supply you only even really need one SSD

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but it should be noted that you're going to end up shelling out for higher

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quality hardware versus if you only had to run a single client workload say take

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the SSD for example if you were to use a

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basic basic qlc SSD with no dram cache

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you could get away with that for a single gaming machine you try to have

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four clients working off of that thing at the same time you're gonna have an

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extremely bad time and the same goes for a power supply never mind just the

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wattage that it's rated to output but let's talk about the duty cycle

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manufacturers when they warranty these things when they decide about how long

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they expect them to last they have an expectation for how many hours a year

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you're probably going to have it running and how hard it's going to be hit as we

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discovered with all four of our gamers hitting that 3080 ti it is pinned at 100

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usage these and other components like your motherboard or a mini core CPU are

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things that you would want to consider when you're configuring your system with someone like of course nzxt who is the

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sponsor of this video so in conclusion this is a really cool and novel use of

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parsec it's normally used to have a friend remote in to play a multiplayer

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game or to stream games from your home pc to another of your own devices kind

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of like having your own private cloud gaming service but here you're turning

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it into all of you and your friends private

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cloud gaming service which is a seriously legitimate possible use case

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for it especially in these troubled times now in addition to performance

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drops though you'll experience additional connection latency about a

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frame on a local network and a couple of frames on a remote one and you'll be

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giving up some image quality even a high bitrate hevc stream is going to have

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more blocking and artifacts than a hardwired displayport connection

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especially if you crank your frame rate past 60. but i'm super excited for the

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future of this kind of technology and i think it's an awesome little project that they created over there so go give

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them some love all right if you enjoyed this video go check out six workstations

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one CPU or seven gamers one CPU for an example of doing this with actually very

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little performance drawback because we loaded up the system with gpus back when

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you could actually find them okay who just killed me

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rude rude