播放1080p剪辑和视频M10是否足够好？

你好
欢迎来到论坛！
潜水海峡....你将使用Blast Extreme，这意味着你将使用NVEnc。
NVenc至少需要1GB vGPU配置文件。
基于此，每个M10将支持32x用户的最大值，因此每台服务器需要2x M10才能应对这一数量的用户。
您要添加的2x新服务器，它们的规格是什么？
内存？
中央处理器？
（CPU型号和生成（v3 / v4））
您将提供哪种Windows操作系统？
我相信你知道，当你搬到Maxwell时，你会转向CCU许可模式，所以不要忘记考虑到你的成本。
根据可用信息，您可能希望购买vPC许可证。
你的问题：
问 -  M60的价值是K2的两倍吗？
A  - 使用M60，您可以获得更高的性能并将帧缓冲区加倍（2x 8GB，而不是2x 4GB）。
因此，基于帧缓冲区分配，您可以在同一服务器机箱中获得两倍的用户数。
因此，对于K2s来支持与一对M60相同数量的用户，你现在需要购买2个额外的K2，再加上另外一个服务器，你需要机架空间来安装它，运行它的能力，支持和
维护服务器，另一个Hypervisor许可证，最后，空调容量来冷却它。
突然之间，价格上涨看起来并不那么糟糕;-)
例如，我有一些高性能客户，他们的数据中心空间有限（他们的机架中没有空间）。
因此，空间（用户密度）对他们来说是一个真正的优势，而且与扩展到另一个数据中心的成本相比，新GPU的价格上涨是微不足道的，而对于其中一些，甚至没有那个选择。
因此，在比较GPU成本时，尽量不要将其视为比较新旧的简单。
看看在给定的情况下支持“X”数量的用户需要多少费用，然后你会发现新GPU的真正价值。
无论购买的GPU是什么（就货币价值而言），每个GPU的实际价值将因客户的具体情况而异。
希望有所帮助
问候
本



以下为原文

Hi

Welcome to the forum!

Diving strait in .... You’re going to use Blast Extreme, which means you’re going to use NVEnc. NVenc requires a minimum of a 1GB vGPU profile. Based on that, each M10 will support 32x user’s maximum, so you will need 2x M10s per server to cope with that amount of users.

The 2x new servers that you're adding, what specification are they? RAM? CPU? (CPU model number and generation (v3 / v4))

Which Windows Operating System are you going to be delivering?

As I’m sure you’re aware, when you move to Maxwell, you move to a CCU licensing model, so don’t forget to factor this in to your costs. With the information available, it’s looking like you will want to purchase vPC licenses.

Your question:

Q - Is the M60 worth double the amount of the K2?

A - With the M60, you get more performance and double the Frame Buffer (2x 8GB, instead of 2x 4GB). Therefore, based on Frame Buffer allocation, you can get twice the amount of users in the same server chassis. So, for K2s to support the same amount of users as a pair of M60s, you now need to purchase 2x additional K2s, plus another server to put them in, plus you need rack space to install it, power to run it, support and maintenance for the server, another Hypervisor license and lastly, Air Conditioning capacity to cool it. All of a sudden, that increase in price isn’t looking so bad ;-)

For example, I have a few high performance clients who are space limited in their datacentres (they physically have no space left in their racks). So space (user density) is a real premium to them, and the increased price of the newer GPUs is insignificant compared to what it would cost to scale into another datacentre, and for some of them, there isn’t even that option.

So when comparing GPU costs, try not to look at it as simplistically as comparing old to new. Look at what it costs to support "X" amount of users in a given set of circumstances, then you’ll find the true value of the newer GPUs. And regardless of what the GPUs are purchased for (in terms of a monetary value), the real value of each GPU will vary per customer depending on their circumstances.

Hope that helps

Regards

Ben

谢谢你的快速反应！
我们仍处于服务器和我们将向用户分发哪种硬件的决定阶段。
但至于操作系统，我认为我们将在瘦客户端上使用Windows 10（也许是i5）
说实话，我们甚至不知道我们要部署的用户的确切数量，但是大约在50到100之间。
我已经了解了你关于M60的理论，但由于这个项目的唯一目的是让用户查看编辑过的剪辑和视频，而不是实际编辑它们，M10会更合适吗？
部分用户将使用它进行视频查看，而其他人则将其用于normla任务（桌面应用程序等）
我们只使用我们能够从其他地方借用的K2进行测试，我们正试图投入更新的GPU，因此我们决定使用M10或M60，我的理解是M10在中等水平上更加用户密度友好
1080p解码/编码和视频观看目的，而M60则相反。
此外，什么类型的集成GPU适合在瘦客户端解码1080p文件？
我很遗憾因为我不久前被安排在项目团队中，因为我缺乏知识，而且我2周前才开始研究和搜索这个计算机领域。
再次感谢Bjones，我想听到更多，如果这个论坛上的其他任何人都可以给我任何对我来说意义不大的东西！



以下为原文

Thank you for the quick responce!

We are still in the deciding phase of what server and what kind of hardware we are going to hand out to the user.
But as to OS i think we will be deplying Windows 10 on the thinclients (maybe i5)

To be really honest with you, we dont even know the exact number of users we are going to be deploying to but its around 50 to 100 mark.

I understoon your theory about M60, but since the sole purpose of this project is to let the users view edited clips and videos, not actually editing them, will a M10 be more suitable? Since partial users will be using it for video viewding purpose and others will be using it for normla tasks (deskwork apps etc)

We are only testing it with the K2 that we were able to borrow from elsewhere, we are trying to put in a newer GPU hence we are deciding on an M10 or the M60, my understanding is that M10 is more user density friendly with mid level 1080p decode/encode and video viewing purpose, where as the M60 is the opposite.

Also, what type of integrated GPU will be suitable in order to decode the 1080p file on the thinclient side?

I am sorry for my lack of knowledge since i was put on the team of the project not so long ago and i only started to study and search about this area of computers 2 weeks ago.

Once again thanks Bjones and i would like to hear more and if anyone else on this forum can give me anything that would mean alot to me!

如果您将Windows 10作为VM OS提供，那么您需要不超过1GB的FrameBuffer
由于您的用户数和密度与您的vGPU配置文件直接相关，因此您需要准确计算您计划移动到系统的用户数。
否则，您将要么低估一切，这意味着您将需要购买更多的单个服务器，因为它们不是一个足够的规范，或者您将过度规范它们，并浪费资源。
你需要对你的数字更准确，而不仅仅是说“大约50到100”。
另外，您的其他基础设施呢？
您是否考虑过额外的存储I / O和网络带宽？
...当添加50-100个使用视频的用户时，您需要考虑所有资源。
这不是一个理论，它是一个事实:-)不要看单个组件价格，看看整个系统的成本。
可以共享相同资源的用户越多，整个系统的成本效率就越高，这也是我们虚拟化的主要原因之一（以及NVIDIA GRID甚至存在的整体原因！）;
最终，为了获得更好的资源利用率，因为它总体上比为用户提供他们自己的专用硬件更便宜。
它不仅仅与物理服务器有关;
机架空间，电源，冷却，许可，支持，维护，升级，更新等等都需要花钱。
服务器密度越高，系统实施和支持的成本效率就越高。
你没有要求M10和M60之间的性能比较，你问M60是否值得K2的购买价格的两倍，答案是，（更详细一点）它比单位购买更多
价钱。
M60显然比M10更强大，但是M10的密度表现更好。
基于FrameBuffer，M60将比M10支持少50％的用户。
您可以在此处了解计划添加到系统的用户数量，以便进行适当的规范和设计。
假设您总共有64个用户（在“约50  -  100”范围内）：
如果每个服务器最多有32个用户，我会说为每个服务器购买2个M60，并为每个服务器提供1GB的vGPU配置文件。
原因在于，M60拥有比M10更多的H.264流（36对28），并且当您计划提供视频时，这是一个重要的考虑因素。
如果您想在系统上添加更多用户，您现在需要考虑我上面提到的有关成本与价值的因素。
您现在需要购买额外的服务器资源以支持额外的用户密度。
此外，如果服务器上的用户较少，则需要较少的CPU和RAM来支持它们;
这是可用于抵消额外服务器资源以支持更多用户的资金。
假设您有超过65个用户（超过M60s FrameBuffer容量和2台服务器）：
对于具有1GB vGPU配置文件的每台服务器超过32个用户，您将需要使用M10。
M10将完成这项工作，但如果同一服务器上的所有用户同时开始观看视频，您可能会开始降低性能。
请记住，一旦用户连接，您就无法在主机之间对VM进行负载平衡（但是您可以在今年/明年之后进行...）。
此外，您的服务器密度将取决于您尚未提及的CPU和RAM规格。
尽管如此，如果您只有2个新服务器并且想要支持超过64个用户，那么每个服务器中的一对M10是您唯一的选择，因为M60只是没有FrameBuffer容量来支持超过64个
用户。
您需要具有H.264解码功能的瘦客户端。
通常，具有SOC（片上系统）或专用GPU的东西将具有该功能。
“Raspberry Pi”将是最便宜的选择，然后你会有很多不同的选择。
英特尔NUC制造出极佳的瘦客户机，有很多不同的型号可供选择，如果你不需要最新和最强大的，它们也很便宜。
瘦客户端仍然是系统中非常重要的一部分。
由于用户体验不佳，瘦客户机选择可能会破坏设计完美的后端系统，因此请确保您测试各种供应商品牌/型号并正确验证它们。
并且不要低估将视频流式传输到可接受级别所需的内容。
正如我最近在这里发布的其他人所提到的，我个人认为流媒体视频是最难做的事情之一，因为它需要随时提供近乎完美的视觉效果和音频。
观看视频的人立即可以看到视觉质量或帧速率的任何下降，其​​中使用Outlook或键入文档的人可能不会注意到视觉或音频质量的下降。
问候
本



以下为原文


If you're delivering Windows 10 as your VM OS, then you need nothing less than 1GB of FrameBuffer



As your user count and density are directly tied to your vGPU profiles, you do need an accurate count of how many users you plan to move on to the system. Otherwise, you will either under-spec everything, meaning that you will need to purchase more individual servers as they won't be a sufficient specification, or you will over spec them, and have wasted resources. You do need to be more accurate with your numbers than just saying "around 50 to 100". Also, what about the rest of your infrastructure? Have you considered the additional storage I/O and network bandwidth? ... when adding 50 - 100 users who are working with video, you need to consider all resources.



It's not a theory, it's a fact :-) Don't look at individual component prices, look at the cost of the whole system. The more users that can share the same resource, the more cost effective the entire system becomes, and that's one of the main reasons we virtualise (and the ENTIRE reason that NVIDIA GRID even exists!); to get better resource utilisation, ultimately, because it ends up being cheaper overall than giving users their own dedicated hardware. It's not just about the physical server; Rack Space, Power, Cooling, Licensing, Support, Maintenance, Upgrades, Updates etc etc. It all costs money.

The higher the server density, the more cost effective the system is to implement and support.



You didn't ask for a performance comparison between the M10 and M60, you asked whether the M60 was worth twice the purchase price of a K2, to which the answer was, (in a little more detail) there's more to it than unit purchase price. The M60 is obviously more powerful than the M10, however the M10 trades performance for density. Based on FrameBuffer, the M60 will support 50% less users than the M10. This is where you need to know how many users you plan to add to the system, so you can spec and design appropriately.

Let's say you have 64 users total (that falls within the "around 50 - 100" bracket):

If you have up to 32 users per server, I would say buy 2x M60s for each server and give them a 1GB vGPU profile each. The reason for that, is that the M60 has more H.264 streams than the M10 (36 vs 28), and as you plan to deliver video, this is an important consideration. If you want to add more users on to the system, you now need to factor in what I mentioned above about cost vs value. You now need to purchase additional server resource to support the additional user density. Also, if you have less users on a server, you need less CPU and RAM to support them; this is money that could be used to offset additional server resource to support more users.

Let's say you have 65+ users total (that exceeds the M60s FrameBuffer capacity with 2 servers):

For more than 32 users per server with a 1GB vGPU profile, you will need to use the M10. The M10 will do the job, however if all users on the same server start viewing videos at the same time, you may well start to suffer reduced performance. Remembering that once users are connected, you can't load balance VMs between hosts (however you will be able to later this year / next year ...).

Also, your server density will depend on your CPU and RAM specifications, which you haven't mentioned yet.

With all of that said, if you only have 2x new servers and want to support more than 64 users, a pair of M10s in each server is your only option, as the M60s simply don't have the FrameBuffer capacity to support more than 64 users.



You need a Thin Client that has H.264 decode capability. Typically something with a SOC (System on Chip) or dedicated GPU will have that capability. A "Raspberry Pi" will be the cheapest option, then you're in to many different choices. Intel NUCs make great Thin Clients, and there are a lot of different models to choose from and if you don't need the latest and most powerful, they are also pretty cheap as well. The Thin Client is still a very important part of the system. Poor Thin Client choice can destroy a perfectly designed back end system due to the user experience, so make sure you test various vendor brands / models and validate them properly. And don't underestimate what's required to stream a video to an acceptable level. As I've mentioned to someone else who posted on here recently, I personally think streaming videos is one of the hardest things to do, as it requires near perfect visuals and audio at all times. Any drops in visual quality or frame rate are immediately visible to the person viewing the video, where as someone using Outlook or typing a document, may not notice a drop in visual or audio quality.


Regards

Ben

我读到M10最多可以支持每卡64个，每个服务器128个。
在与我的同事交谈之后，我们发现我们正在部署的用户数量将超过60且低于70.正如您在下面提到的，2xM10将是我们关于此项目的唯一选择。
至于其他资源，有其他人在这些部门工作，似乎我们有一个去，加上我们使用相当重负载的Netapp存储，以便存储，我认为我们没事。
对不起！
我的英语不是最好的，并使用“理论”听起来很酷我想大声笑，我完全同意你所说的成本和价值。
我想这一切都取决于他们让我们用这个项目多少钱。
但就成本和价值而言，就像你再次说过的那样，M10胜出可能因为M60x2只能支持64位用户。
我再一次为错误信息道歉，Althoguht我说一个瘦客户端，我们试图部署的硬件是笔记本类型（thinkpad），我已经读过，为了让瘦客户端解码h.264文件，它需要集成
Haswell的地平线5.x以及之后的GPU？
所以说，如果我们为了我们的议程目的而得到一个thinkpad，那么skylake i5会像上面提到的那样浪费资源吗？
此外，我们将使用Win10 IOT版或任何嵌入在thinkpad中的Windows ...哦，一旦我们决定在服务器上，我一定会发布系统规格！
再次非常感谢你的回复，希望很快得到你的回复
问候
kaeon



以下为原文


I read that M10 can support up to 64 per card, 128 per server. After talking to my co-workers it turns out the number of users we are deploying will be more than 60 and less than 70. So as you mentioned below, 2xM10 will be our only choice regarding this project. As far as other resources, there is other people working on those department and it seems we have a go, plus we are using a pretty heavyload Netapp storage so as to storage goes i think we are ok.


Sorry man! My english isnt the best and used "theory" to sound cool i guess lol, I completely agreee with what you said about cost and value. I guess it all depeneds on how much money they gunna let us use for this project. But so far as to cost and value, like you said once again, M10 wins out maybe since M60x2 can only support 64 users.



Once again i apologize for the misinformation, Althoguht i said a thinclient, the hardware we are trying to deploy is the notebook type (thinkpad) and i have read that in order for the thinclient to decode the h.264 files it would need a integrated GPU above Haswell for horizon 5.x and onwards? So by saying that, if we were to get a thinkpad for the purpose of our agenda, will skylake i5 will be a wasted resource like you mentionded above? Also we will be using Win10 IOT edition or whatever on a Windows embedded inside the thinkpad... Oh and once we have decided on the server, i will sure to post the system spec!

Once again thank you so much man for replying and hope to get a reply from you soon


Regards

kaeon

忘掉每个卡支持64个用户的M10。
是的，“技术上”它将基于FrameBuffer，所以事实上这是正确的。
但是，作为512MB vGPU配置文件（这是你必须使用它来获得密度）还不足以支持现代操作系统和应用程序，你需要将这些数字减半，因为你需要不少于1GB的帧缓冲区，这将是
每M10给你32个用户。
另外，如上所述，要使用NVenc，您需要使用1GB vGPU配置文件，同样将64位用户号减半。
对于用户密度，这仍然不是一个明确的答案:-)而且60-70位用户之间的关键是绝对准确，因为64是从一个型号的GPU到另一个型号的截止点。
一对M60（每个服务器中有2个）将使用您将在M10（1GB）上使用的相同vGPU配置文件支持两台服务器上的64个用户。
但是，如上所述，您将在M60上提供更多H.264流。
在选择GPU模型之前，您需要对用户密度给出明确的答案。
如果您有65个或更多用户，那么M10是您唯一的选择，但最多包括64，M60仍然是一个选项。
所有这些数字都基于1GB vGPU配置文件（仍然非常小）。
你有没有做过任何监控，看看你实际需要多少FrameBuffer？
（同样，最低1GB）。
如果你需要超过1GB的Frame Buffer，那么这显然会改变一些事情......
Skylake是一款优秀的CPU，但与往常一样，您需要具体了解CPU型号，因为它们具有不同的GPU功能。
如果您正在购买新产品，Kaby Lake会更好......
所以我们可以看到它，具体来说，你在看哪个Thinkpad模型？
你有网址吗？
..
问候
本



以下为原文

Forget about the M10 supporting 64 users per card. Yes, "technically" it will based on FrameBuffer, so factually that is correct. However, as a 512MB vGPU profile (that's what you have to use to get that density) is not enough to support a modern Operating System plus applications, you need to halve those numbers as you need nothing less than 1GB of Frame Buffer, which will give you 32 users per M10. Also, as mentioned above, to use NVenc, you need to use a 1GB vGPU profile, again, halving the 64 user number.

That's still not a definitive answer regarding user density :-) And between 60 - 70 users makes it even more important to be absolutely accurate, as 64 is the cut off point from one model of GPU to the other. A pair of M60s (2 in each server) will support 64 users across the 2 servers using the same vGPU profile that you will be using on an M10 (1GB). However, as mentioned, you'll have more H.264 streams available on the M60s. You need to give a definitive answer on user density before you choose your GPU model. If you have 65 or more users, then the M10 is your only option, but up to and including 64, the M60 is still an option.

All these numbers are based on a 1GB vGPU profile (which is still very small). Have you done any monitoring yet to see how much FrameBuffer you actually need? (Again, with 1GB being the minimum). If you need more than 1GB of Frame Buffer, then this obviously changes things ...

Skylake is a good CPU, however as always, you'll need to be specific on the CPU model number as they will have different GPU capabilities. If you're buying new, Kaby Lake is better ...

So we can see it, specifically, which Thinkpad model are you looking at? Do you have a URL? ..


Regards

Ben

哦，我很抱歉，是的，你是完全正确的哈哈，我不是直接思考，所以是的！
64服务器:)
根据我刚从同事那里听到的消息，我们计划分别放入2台服务器和1张卡。
（从最终角度来看，购买4 M60可能是不可能的lol）
关于“在不久的将来某个时候可以使用负载均衡”你的意思是我们能够在vGPU中使用vMotion吗？
但我们正在寻找一些瘦客户端。
我之前会发布链接（我们看到的是AMD cpus）
http://h20195.www2.hp.com/v2/GetDocument.aspx?docname=4AA6-1284EEE&doctype=data%20sheet&doclang=EN_GB&searchquery=&cc=uk&lc=en
要么
http://www8.hp.com/h20195/v2/GetDocument.aspx?docname=4AA6-8039ENUC
谢谢你再次快速回应。
问候
kaeon



以下为原文

Oh man im sorry, yes youre completely right lol, i wasnt thinking straight, so yes! 64 per server :)

From what i just heard from my co-worker, we are planning to put in 2 servers and 1 card each. (from finalcial perspective, buying 4 M60 might just be impossible lol)

About the "loadbalancing being available sometime in the near future" do you mean we will be able to use vMotion with the vGPU?

But we have a few thinclients we are looking at. I will post the link before (the ones we are looking have AMD cpus)

http://h20195.www2.hp.com/v2/GetDocument.aspx?docname=4AA6-1284EEE&doctype=data%20sheet&doclang=EN_GB&searchquery=&cc=uk&lc=en
or
http://www8.hp.com/h20195/v2/GetDocument.aspx?docname=4AA6-8039ENUC

Thank you for the quick responce once again.

Regards

kaeon

好。
那不行。
您将没有足够的GPU资源。
每个服务器64个用户=总共128个用户（这与您上面发布的任何内容完全不同（？！））
每台服务器需要2x M10。
更少，你不会打那些数字。
除非你在每台服务器上都有2x M10，否则你将无法对任何东西进行负载均衡，因为你没有足够的资源。
你不能猜到这一点。
您需要准确了解您的数字，计算和规格，否则项目将是一个昂贵的失败。
没有人愿意看到这一点。
问候



以下为原文

Ok. That won't work. You won't have enough GPU resource.

64 users per server = 128 users total (that's completely different to anything you've posted above(?!))

You WILL need 2x M10 per server. Anything less, and you won't hit those numbers.

Unless you have 2x M10 in each server, you won't be able to load balance anything, as you won't have enough resource.

You can't guess this. You need to be accurate with your numbers, calculations and specifications or the project will be an expensive failure. And nobody wants to see that.

Regards

不，不，我的意思是，我们支持的用户总数最多为128.但实际上，它是68（我之前得到了这个数字）我们说每张1张卡但我的意思是2，所以如果我们结束
需要添加更多用户，我们可以
在与其他部门交谈之后，我们开始意识到并非所有68位用户都会同时观看视频，更不用说甚至可能是56.但是为了将来的考虑，我们建立了一个用户友好的系统。
抱歉让你困惑的男人..我道歉。



以下为原文



no no, what i meant was, the total amount of users we CAN support is max 128. But in reality, its 68 (i got this number just before) and we i said 1 card each but i meant 2, so if we end up needing to add in more users, we could

After talking to other departments, we came to the conlcusion that not all 68 user will be watching videos simoultanouesly, let alone maybe even 56. But for future consideration, we a system thats user desnsity friendly.

Sorry for mmaking you confused man.. i apologize.

好的，现在这让人感到困惑。
您有2台服务器，每台服务器有1x M10。
您共有64个用户。
1台服务器上将有64个用户。
除非出现故障，否则另一台服务器将无所事事。
那是对的吗？
如果是，那将无效。
根据您要做的事情，在单个服务器上支持64个用户，由于上述“NVenc”的原因，您将需要2个M10（如果您不确定“NVenc”是什么，则需要阅读
因为它对您的解决方案非常重要：https：//en.wikipedia.org/wiki/Nvidia_NVENC）和帧缓冲区分配。
目前，您无法分配vGPU的vMotion VM。
实际上，VMware没有提及引入此功能。
唯一宣布Citrix的供应商，但VMware也正在研究这个解决方案似乎合乎逻辑，但目前没有任何迹象。
问候



以下为原文

Ok, this is getting confusing now.

You have 2 servers and each server has 1x M10. You have 64 users in total. 1 server will have 64 users on it. The other server will sit there doing nothing unless there is a failure. Is that correct? If yes, that won't work.

With what you're trying to do, to support 64 users on a single server, you WILL need 2x M10s for the reasons mentioned above about "NVenc" (if you're not sure what "NVenc" is, you need to read up on it as it is very important to your solution: https://en.wikipedia.org/wiki/Nvidia_NVENC ) and Frame Buffer allocation.

Currently, you cannot vMotion VMs with a vGPU assigned. In fact, VMware has made no mention of introducing this feature. The only vendor to announce that is Citrix, however it would seem logical that VMware are also working on this solution, but currently, there is no sign of it.

Regards

好的，这是我们的计划。
我们将有2个esxi服务器。
我们将在这些服务器上分别放入2张M10卡。
我们共有68位用户。
我们的计划是在每个服务器中放置34个用户，他们都将通过地平线7.1使用Blast Extreme协议
我很抱歉，如果我困惑你，但这是我能用我的知识最简单的方式:(
问候。



以下为原文



Ok here is our plan.

we will have 2 esxi servers.
we will put in 2 M10 card each on these servers.
we have 68 users in total.
our plan is to put 34 users in each server and they will all be using the Blast Extreme protocol via horizon 7.1

Im sorry if im confusing you but this is the simplest way i can put it with my knowledge :(

Regards.

那更接近，但仍然不对。
根据该用户数（68），如果您需要执行任何需要所有用户在一台服务器上的更新或维护，或者您的一台服务器出现故障，您将无法支持所有68位用户。
每个M10将支持具有1GB vGPU配置文件的32个用户。
因此，每个服务器中有2个M10，每个服务器最多可以支持64个用户。
第5页＆amp;
本指南的第6部分将为您提供M10的vGPU配置文件，并告诉您每张卡可以获得多少用户：http：//images.nvidia.com/content/grid/pdf/GRID-vGPU-User-Guide.pdf
问候



以下为原文

That's closer, but still not right.

Based on that user count (68), if you need to perform any updates or maintenance that require all users to be on a single server, or one of your servers fail, you will not be able to support all 68 users.

Each M10 will support 32 users with a 1GB vGPU profile. So with 2 M10s in each server, you can support an absolute maximum of 64 users per server.

Page 5 & 6 of this guide will give you the vGPU profiles of the M10 and tell you how many users you can get per card: http://images.nvidia.com/content/grid/pdf/GRID-vGPU-User-Guide.pdf


Regards

我明白了......非常感谢你详细了解男人
我再次道歉让你感到困惑。
我已告诉我的同事们，我们决定将用户数减少到最多50人。
所以从你说的，我们应该没事......！
我仍然没有决定在thinkpad虽然lol -.-



以下为原文

i see... thank you so much for going in detail man

i apologize once again for confusing you.

i have told my co workers and we decided to cut down the user count to 50 max.

so from what you say, we should be ok..!

im still yet to decide on the thinkpad though lol -.-

两台笔记本电脑都可以，因为它们有AMD APU。
然而......
对AMD A8 PRO-8600B APU和AMD A8 PRO-9600B APU之间的差异进行一些比较搜索，以找出更适合您的用例的方法。
你会发现一个时钟频率更高但另一个时钟频率更高。
由您决定。
问候



以下为原文

Either laptop will be ok, as they have an AMD APU. However ...

Do some comparison searches on the difference between the AMD A8 PRO-8600B APU and the AMD A8 PRO-9600B APU to work out which is better suited for your use case.

You'll find that one is clocked higher but the other has more memory bandwidth. Up to you on which to choose.

Regards

非常感谢BJones，你帮了我很多。
今天我们收到mt43作为试驾，似乎完美无瑕。
我们将向用户进行5 mt43的测试，看看他们说了什么。
我们仍将使用K2进行测试阶段。
再一次，谢谢你的伴侣。



以下为原文

Thank you very much BJones, you helped me out alot.
Today we receive the mt43 as a test drive and it seems to work flawlessly.

We will deply 5 mt43 to users for a test run and see what they say.
We will still be using the K2 for the testing phase.

Once again, thank you mate.