A common assumption when it comes to building a Plex or Jellyfin server is that more graphical horsepower would mean better performance, and that's a quite understandable mistake. For many years, video transcoding has relied on software encoding, where CPU core count was the key determiner of how many streams could be handled at once.

Those assumptions belong to a bygone era. Typical home media servers lean more on hardware engines designed specifically for encoding and decoding tasks, and, in many cases, even a modest consumer CPU with integrated graphics could be enough to solve your transcoding problems.

Why your current hardware is probably good enough

Even iGPUs do the trick

A lot of the misconceptions stem from the understanding of how transcoding works. Plex and Jellyfin don't lean on raw compute in the way that gaming or 3D rendering do. Instead, they benefit from hardware-accelerated transcoding, which relies on specialized hardware components to perform encoding and decoding efficiently. Most consumer CPUs and GPUs come with dedicated media engines, such as Intel Quick Sync, Nvidia NVENC and AMD VCE that are perfectly well-equipped to handle transcoding independently of general computing tasks. These specialized circuits are purpose-built for video encoding and transcoding, which makes them remarkably efficient at the task.

Even a basic Intel CPU such as a Core i3-12100 with integrated graphics and featured Quick Sync Video support is capable of handling >15 simultaneous 1080p H.264 transcodes. While budget Nvidia GPUs offer similar capabilities, the performance gap that you'd expect between a modest iGPU and a dedicated graphics card is much smaller than you'd expect.

There is, however, an important caveat that specifically relates to video memory. Each encode stream warrants VRAM for buffering, and low-end GPUs (think the ones with less than 2GB VRAM) can exhaust this memory limit pretty quickly. This is exactly where integrated graphics triumph. Because iGPUs share your system memory (which, for most users, ranges from 16 to 32 GB), they can allow for more concurrent streams than many budget dedicated GPUs.

Even older hardware can outperform expectations

"Unsupported" GPUs can absolutely crush transcoding

If you're building a dedicated transcoding server on a budget and have an old GPU from a previous build, it can offer surprising value. Older professional and gaming GPUs possess encoding capabilities that exceed expectations in this workflow, especially the GPUs that were designed before manufacturers implemented artificial limitations.

Workstation cards such as Nvidia's Quadro lineup with their sizable VRAM buffer and Pascal-generation NVENC handle encoding without software-imposed stream limits that are found on other GeForce cards. This unrestricted access makes them particularly attractive for multi-user environments even after the official driver support ends. On the AMD side, older Radeon cards that feature VCN 2.0 encoding engines provide reliable H.264 and HEVC encoding, although they do lack the unlimited streaming capability that you'd get with Nvidia cards.

Making the most of what you have

Check your hardware and your needs for the best experience

Before you consider a hardware purchase for your media server, it is prudent to check what you currently have. If you have an Intel CPU, it's worth checking the specifications for Quick Sync support, and if you have older GPUs sitting on the shelf, it's best to check if your model supports hardware encoding. Both Plex and Jellyfin provide hardware compatibility lists on their documentation pages for quick reference.

It's also worth noting that Plex requires a Plex Pass subscription to unlock hardware-accelerated transcoding, which will set you back $6.99 a month or $69.99 annually. Jellyfin, on the other hand, provides full hardware acceleration for free, which makes it a preferred choice for budget-conscious or DIY enthusiasts.

It is also important to consider that you might need an upgrade, depending on your use-case. For running 10 or more simultaneous streams, requiring tone mapping for 4K HDR-to-SDR conversion, or for future-proofing for AV1 codec support, it's best to take another look and gauge the match between your hardware and your demands. Closely monitoring your server during typical usage to understand resource utilization is the best way forward in this case.

Test before you spend, always

The transcoding performance that you're looking for likely exists in your CPU's integrated graphics or that older GPU that's sitting in your drawer and collecting dust. Most users will disqualify themselves out of options before they test their hardware or vastly overestimate the amount of compute they need to get started with hosting their media server.

For most home users who want to stream a few 1080p streams simultaneously, even decade-old hardware can deliver more capacity than they'll ever need. The best part is, with all the dollars you save, you can treat yourself with additional storage or network improvements that further enhance your media experience. As a rule of thumb, it's best to test first and upgrade only when you need to.