Using the NVIDIA GPU to stream RDP best for your needs Click here to view pricing. is a great way to increase the performance and throughput of your RDP connection, while reducing power consumption. There are some things to keep in mind when streaming your RDP session to another device.

Increase throughput

Using the RemoteFX RDP protocol, Microsoft is offering an improved version of RDP that uses GPUs to do things that a CPU can’t do. Specifically, RemoteFX will feature host-side rendering, intelligent screen capture, and GPU virtualization, all built on top of the RDP protocol.

One of the most significant advancements of the RDP protocol is the ability to pass high-level data. This was first introduced in Windows NT 4.0, and required clients that were capable of handling the same GPU-based workloads. The result is a highly fluid remote desktop experience. The performance will be limited by the remote graphics processing capacity. The performance of a single image with a high resolution is often limited by network bandwidth.

Reduce power consumption

Streaming content, whether it be video, music or games, is becoming more common in households. However, many people wonder how it affects energy consumption. Streaming energy consumption is calculated by the 2016 United States Data Center Energy Usage Report. This report shows that streaming video uses up to 27 times more energy than manufacturing. This is because, during the video rendering process, the server has to encode and decode the server-side video content. Then, it has to be sent across the network.

The bandwidth capacity of the network also directly affects the performance of RDP video. Streaming video uses a lot of data. Therefore, if the network bandwidth is low, RDP will experience performance issues.

Create different sessions for each 3D desktop sharing the GPU

Using a GPU in your server can make a lot of things possible. You can run more graphics intensive applications such as 3D games, accelerate many applications and take advantage of OpenCL parallel computing frameworks. The name of the game is to optimize the use of these resources while ensuring that only the best of the best get to the user. GPU instances can support over 1500 CUDA cores and support up to 4 GB of video memory. These types of instances are a boon to virtualization aficionados.

However, when it comes to the GPU powered desktop, there is more to the equation than just a CPU and memory. This includes networking, storage, and a host of hardware and software options.

Reduce data transfer between your computer and the remote device

Using your GPU to stream RDP to the remote device may be a no brainer, but that doesn’t mean you can’t have your cake and eat it too. The best part is that you are not limited to your network’s firewall. A little savvy and a slew of plugins will have you churning out HD video swag at lightning speed in no time at all. Using a dedicated GPU may be the best bet for this task, so get to know your hardware. The good news is that you can be the envy of your coworkers and emotes without compromising your sanity.

Having a GPU-accelerated server at your disposal may also mean you are in the loop in a pinch, allowing you to do the unthinkable.

Streaming from a Windows XP host is not supported

Streaming from a Windows XP host is not supported by the folks at Microsoft. However, there are many ways to have a remote desktop session with a Windows XP host. While it’s not going to be the best gaming experience you’ve ever had, you should be able to do some cool things in the background without having to log in to your Windows XP host. In short, Windows XP is a good place to start if you’re looking for a remote desktop experience. For example, Windows XP hosts are well suited for implementing a VPN tunnel between your networked Windows machines. Also, you’ll be able to run your favorite desktop and mobile apps, and Windows Store apps without the hassle of having to reboot your host or switch to another PC.

NVIDIA hardware accelerated encoding

Streaming RDP through NVIDIA hardware accelerated encoding provides a smoother experience than traditional video decoding and encoding. But there are several issues to keep in mind when using NVIDIA hardware encoding on a streaming RDP application. Check here

You can get the best performance from a streaming RDP application when you have the right hardware. However, hardware video compression can be difficult to optimize, especially for applications that involve high frame rate streaming.

Fortunately, there are some ways to measure end-to-end transcode performance. The first tip is to use a secondary machine. That way you can offload work to the remote machine. Another tip is to reduce the canvas frame rate. By doing so, you can cut down on CPU usage.