Skip to main content

Digital Trends may earn a commission when you buy through links on our site. Why trust us?

How an Nvidia GPU has transformed my streaming setup

Streaming on Twitch has been a hobby of mine for a while, and it’s probably the single most important thing convincing me to stick with my RTX 3060 Ti, thanks to two key technologies that Nvidia has made: NVENC and Nvidia Broadcast. The RTX 3060 Ti is one of the best graphics cards on its own, but it’s these two features that have made the difference for me.

These aren’t crucial to my streaming experience, but the quality of life improvements these two features provide make it difficult for me to even think about switching back to AMD graphics.

NVENC makes my CPU obsolete

A comparison between CPU encoding and NVENC encoding.
Nvidia

I had been an AMD user for years until I switched to the GTX 1080 Ti in 2020 and upgrading to the RTX 3060 Ti in 2021 for better power efficiency. I was also upgrading my CPU around the same time, going from a Ryzen 7 3700X to a Ryzen 9 3950X for streaming. I was excited to finally have one of the best CPUs for streaming, and I started tweaking my settings in Open Broadcaster Software for the best quality and performance. But my CPU usage was super high, the performance was bad in my games, and I was dropping frames on stream.

Get your weekly teardown of the tech behind PC gaming
Check your inbox!

Then I remembered that I had an Nvidia GPU, and I had heard that NVENC (Nvidia’s GPU streaming codec) had gotten really good, so I decided to check it out. I looked up Nvidia’s guide on how to configure NVENC in OBS, configured OBS, and tested it out. The results were nothing short of amazing: the footage looked good, the performance was great, and I wasn’t dropping any frames. There was basically no performance penalty for using NVENC, and neither my CPU nor my GPU was working any harder to use NVENC. It was a no-brainer for me to switch from CPU to GPU encoding.

While CPU encoding can have very high quality, it’s also a very inefficient way of recording footage. GPU-accelerated encoding by contrast is slightly worse in quality but way more efficient. My specific situation was actually great for GPU encoding because my ITX PC didn’t have the thermal headroom to afford to be inefficient. I just wish I had heard about NVENC before spending hundreds on a Ryzen 9 3950X that doesn’t get to flex its muscles.

Nvidia Broadcast makes my keyboard silent

Razer webcam sitting on top of a monitor.
Image used with permission by copyright holder

Like many gamers, I use a mechanical keyboard, which is great to type on but not very enjoyable to listen to. Whenever I was recording or streaming, I’d have to be very careful about whether or not my mic was on because it would always pick up my keyboard, as well as other background noises. I’d usually use push to talk or hard unmute my mic whenever I wanted to speak.

That was the case until I started using an app called Nvidia Broadcast, which has several features including a green screen effect without needing an actual green screen, AI-enhanced audio output, and AI-powered background noise removal, which is exactly what I was interested in. I turned the feature on, and my mic no longer picked up my keyboard or any other annoying background noises.

You might think a feature like this would be too overzealous and would require me to speak loudly or in a certain way, but I’ve never experienced any kind of annoyance with Nvidia Broadcast so far, and I’ve been using it for almost two years. On the other hand, it is a bit lenient and always picks up whenever I clear my throat (which is quite often), so I am still reaching for the mute button every now and then.

That’s not to say Broadcast isn’t amazing; totally removing the clicking of my keyboard from my streams is a massive improvement in quality for the few viewers I have.

If you’re a streamer, consider Nvidia

A gamer plays at a PC setup.
DisobeyArt / Shutterstock

I think these two features alone make Nvidia GPUs extremely compelling for streamers, and I could get more use out of Broadcast and its green screen technology if I ever decided to plug in one of the best webcams for streaming. I didn’t get an Nvidia GPU for these features, but I’m not eager to switch back to AMD.

However, AMD is catching up to Nvidia on the encoding front. The newest version of AMD’s AMF encoder is purportedly on par with Nvidia’s, but very few applications (including OBS) have gotten an update to utilize the new encoder. In fact, this version of AMF isn’t even all that new; it’s been out for four months. I’m not about to switch to AMD to use an encoder that has no real support and no timeline for when that support will finally come.

There are also alternatives to Nvidia Broadcast’s noise removal feature. RNNoise is an open-source noise removal program that appears to perform similarly to Nvidia Broadcast. However, in order to use RNNoise, you have to rely on the open source software ecosystem, and right now there just aren’t any convenient solutions using RNNoise. For example, someone developed an OBS plugin that added RNNoise but literally said “No help provided. If you can figure out how to build and use it, have fun!” Nvidia Broadcast is a simple app I can download, install, and turn on in a few clicks.

Personally, it’s Nvidia Broadcast in particular that makes it difficult to me to go back to AMD. I can deal with having a lower-quality GPU encoder or encoding with my CPU at a low-quality setting, but I don’t want my viewers to hear my keyboard all the time. This is a really simple but big quality of life improvement that I will continue to take advantage of, and it’s even more important if you have a camera.

AMD GPUs have a little ways to go before they’re as good as Nvidia’s for streaming. I don’t doubt they’ll get there eventually, but in the meantime, I’ll be sticking with my RTX 3060 Ti.

Editors' Recommendations

Matthew Connatser
Former Digital Trends Contributor
Matthew Connatser is a freelance writer who works on writing and updating PC guides at Digital Trends. He first got into PCs…
Meet Blackwell, Nvidia’s next-generation GPU architecture
Nvidia introducing its Blackwell GPU architecture at GTC 2024.

We finally have our first taste of Nvidia's next generation of GPUs, named Blackwell. Sure, they're built for enterprises, and no, they won't run Cyberpunk 2077 (at least not officially). But this is the first look we've have at what Nvidia is cooking up for its RTX 50-series GPUs, which are rumored to launched sometime in the next year.

The GPU we have today is the B200 -- Blackwell 200, if you can spot it -- that comes packed with 208 billion transistors. The architecture is built on TSMC's 4NP node, which is an enhanced version of the 5nm node. It's a little surprising given that Nvidia's Ada Lovelace GPUs are built with TSMC's 4N node -- one refinement step away from 4NP. Nvidia notes that it's using a custom version of this process, however.

Read more
My most anticipated game of 2024 is getting the full Nvidia treatment
A character gearing up for battle in Black Myth: Wukong.

As if I wasn't already looking forward to Black Myth: Wukong enough, Nvidia just announced that the game is getting the full RTX treatment when it launches on August 20. We see new games with ray tracing and Nvidia's Deep Learning Super Sampling (DLSS) all the time, but Black Myth: Wukong is joining a very small list of titles that currently leverage the full suite of features Nvidia has available.

The game comes with, as Nvidia describes it, "full ray tracing." That undersells the tech a bit. As we've seen with games like Alan Wake 2, "full ray tracing" means path tracing. This is a more demanding version of ray tracing where everything uses the costly lighting technique. It's taxing, but in the new games that we've seen with path tracing, such as Cyberpunk 2077 and Portal with RTX, it looks stunning.

Read more
This new GPU feature is ‘a whole new paradigm’ for PC gaming
RX 7900 XTX slotted into a test bench.

Microsoft has released its Agility SDK 1.613.0, which features some critical components that will be shown to developers at the Game Developers Conference (GDC) in San Francisco next week. The most interesting component is Work Graphs, which Microsoft describes as "a whole new paradigm" for graphics cards.

Work Graphs enable GPU-driven work. Normally when you're playing a PC game, there's a relationship between your GPU and CPU. Your CPU gets work ready and sends it to your GPU, and then your GPU executes that work. Work Graphs is an approach that allows your GPU to schedule and execute its own tasks, which has some massive implications for performance.

Read more