Hardware Recommendations for Unreal Engine with iRender

Like most software developers, Unreal maintains a list of system requirements for Unreal Engine that can be used to help ensure the hardware in your system meets their minimum requirements. However, most “system requirements” lists tend to cover only the very basics of what hardware is needed to run the software, not what hardware will actually give the best performance. In addition, these lists are often outdated, list old hardware revisions, or simply contain sub-optimal hardware.

Because of how inconsistent those lists can be, we have spent time doing a detailed research to determine what hardware for Unreal Engine is the best and why iRender will be a perfect choice for Unreal Engine users to execute your projects when your own pc configuration is not “powerful” enough.

The processor (or CPU) is one of the most important pieces of an Unreal Engine development workstation. While many other parts of the system impact performance to some degree, the CPU is the core piece of hardware that is a part of absolutely anything and everything you do. The list has been narrowed down from hundreds of CPUs available to just a few that are the best choices for developing in Unreal.

For most users, the AMD Ryzen 9 5900X 12 core is a terrific choice. This CPU features 12 cores, and 24 threads, enough to provide good performance for most users. If budget allows, more cores will always help, and the Ryzen 9 5950X 16 cores proves to be a worthy upgrade.

At iRender, we offer high core count CPU for those that need the best performance for heavily threaded tasks like building lighting and compiling the engine from source. The AMD Threadripper 3955WX should be roughly 20% faster than the Ryzen 5950X for tasks like light baking and compiling. If your budget is limited or the need for expensive high core count CPUs is not that high. Then iRender services will be exactly what you’re looking for. We provide machines using CPU  AMD Ryzen Threadripper Pro 3955WX 16 cores and 32 threads.

Currently, Unreal Engine utilizes the video card solely to display the graphics on the screen. Many applications in other fields have begun using the GPU for other tasks as well, but this has not yet been implemented in the Unreal Editor. Because of this, a faster video card will give you a higher FPS in the viewport or in a stand-alone game, but likely will not improve your productivity in other tasks.

You can consider these 3 video cards on Unreal Engine workstations depending on your budget and whether you’re planning on developing VR content:

• NVIDIA GeForce RTX 3070 8GB – This GPU offers great performance for its price, and has plenty of power to handle multiple displays without a problem.
• NVIDIA RTX A6000 48GB – Nvidia’s professional graphics line offers the ability to sync multiple systems together along with video walls and certain video cameras. This is a much needed feature for certain Virtual Production workflows, and is available with several of the RTX A-series models.
• NVIDIA GeForce RTX 3090 24GB – With 24GB of VRAM and terrific performance for the price, the RTX 3090 is one of the best GPUs to use for game development, Virtual Production, and Architectural Visualization and our recommendation if you plan on developing VR content. The high amount of VRAM makes it suitable for workstation with three or even four 4K displays and the extra power is great for games that have not been optimized.

We iRender take power from NVIDIA RTX 3090, our servers vary from GPU single card to 2/4/6/8 GPU cards, based on the need and budget, customers can choose which server they would like to use on Unreal Engine.

The amount of RAM you need is going to depend on your specific project and whether you do RAM-intensive tasks like building lighting. However, as a general rule of thumb we recommend

• 32GB of RAM for most users
• 64GB+ of RAM if you build lighting that takes more than a few hours

Keep in mind that these only basic recommendations and only covers the amount of RAM needed for the Unreal Editor by itself. If you often work with other programs in addition to Unreal at the same time, you may want to have even more RAM in your system as each program will need its own chunk of RAM.

There are three different types of storage drives that were highly suggested depending on your specific needs and requirements:

• Standard SSD – SSDs are a staple in modern workstations, especially as your primary drive containing the operating system and program installations. They are more expensive than a traditional platter hard drive, but also many times faster allowing you to launch Windows and programs significantly faster. 
• NVMe SSD – These drives are about 30% more expensive than a standard SSD, but around five times faster! However, in most cases you will not see much of a performance difference since a modern standard SSD is already so fast that it is rarely a performance bottleneck. However, some projects you will be able to open faster with a NVMe drive which can make them useful as a project drive.
• Traditional Platter Drive – These drives may be slower than the SSDs we offer, but they are much more affordable and available in much larger capacities. While we do not recommend working directly off these drives, they make terrific long-term storage drives.

iRender provides powerful workstation for Unreal Engine users. Users will remotely connect to our server, install any versions of Unreal Engine only one time, and easily do any intensive tasks like using their local computers.

The best solution for Unreal is our GPU server 3A. We’re planning to change the CPU card of server 3A from Intel Xeon to higher core count CPU – the AMD Ryzen Threadripper Pro 3955WX. Customers can use high-performance machines for Unreal Engine at a very suitable price.

If you have any questions, please do not hesitate to reach us via Whatsapp: +(84) 972755742. Register an ACCOUNT today and get FREE COUPON to experience our service. Or contact us via WhatsApp:  +(84) 972755742 for advice and support.

iRender – Happy rendering

Source: pugetsystems.com