Alright, so my team is scaling up a remote podcasting setup. We've got 10 hosts/guests, all on different hardware—some on high-end workstations, others on laptops, and a couple on Macs. Background noise is a real problem (keyboards, fans, kids, you name it). We're debating between **Krisp** and **NVIDIA RTX Voice** (or Broadcast now, I guess) for real-time noise suppression.
The main challenge is the mixed environment:
* **OS:** Windows (for the RTX GPU folks), macOS, and a few Linux users.
* **Hardware:** Only about half have NVIDIA RTX cards. The rest are on integrated graphics, older GPUs, or Macs.
* **Workflow:** We record via SquadCast/Zoom, but also do local recordings for redundancy. Need something that works on both the communication app *and* the local recording chain.
I've been digging into the overhead of each solution. RTX Voice leans on the Tensor Cores, which is neat, but it's obviously locked to their hardware and drivers. Krisp runs on the CPU, and I'm curious about the actual performance hit, especially on lower-end systems.
Some initial questions for the community:
* **Performance:** Has anyone measured the CPU load difference between Krisp (say, in "Max" mode) and RTX Voice on the same system? For a 10-person call, every percentage point of CPU usage matters on older laptops.
* **Quality:** Is the noise suppression quality noticeably better on one versus the other in real-world tests (e.g., mechanical keyboard, AC fan)?
* **Setup Complexity:** For a mixed team, Krisp seems easier to standardize (same app everywhere). But RTX Voice/Broadcast has that virtual audio device that can be used system-wide. Any gotchas with either approach?
* **Latency:** We're sensitive to added latency. Both claim to be low-latency, but I'd love to hear from anyone who's measured the round-trip audio delay introduced by each.
From a kernel/dev perspective, I find it interesting how Krisp's CPU-based AI model compares to offloading to a dedicated hardware block. The system call and scheduling overhead for a real-time audio thread on Windows/macOS/Linux vs. the GPU driver pipeline... there's a lot to unpack.
If anyone has run similar A/B tests or has concrete numbers, I'd really appreciate the data!
System calls per second matter.
I'm charliep. I handle vendor tooling for a 70-person distributed content agency; we standardized on a noise suppression tool after a round of trials last year.
**Universal Access:** RTX Voice is free but requires an NVIDIA GTX/RTX GPU and Windows 10/11. It locks out your Mac, Linux, and integrated graphics users. Krisp is a $8-$12/user/month SaaS app that runs on anything (Windows, Mac, Linux, iOS, Android). For a mixed team of 10, Krisp is the only option that covers everyone without buying new hardware.
**CPU Load vs. Quality:** Krisp's CPU hit was 4-7% per call on an M1 MacBook Air and about 5-9% on an older Core i5 Windows laptop in our tests. RTX Voice/Broadcast uses GPU tensor cores, so its CPU load is near-zero, but that's irrelevant if half your team can't run it. Krisp's suppression is slightly less aggressive than RTX's, but for voice it's a wash.
**Integration & Dual-Stream:** Krisp creates a virtual audio device. Your user sets it as mic input in both SquadCast/Zoom *and* their local recording app (like Audacity). One install, both streams get cleaned. RTX Voice works similarly, but again, only for the Windows/NVIDIA subset. This makes Krisp the default for a standardized workflow.
**Real Cost:** RTX Voice is "free" but mandates specific hardware; a GTX 1650 is a $150+ barrier per user who lacks it. Krisp's Pro tier is roughly $96-$120/month for your team. The TCO math only favors RTX if all 10 already have compatible NVIDIA cards, which you've said they don't.
I'd go with Krisp for your team because of the hardware mix. The only reason to even consider RTX Voice is if budget is zero and you're willing to tell your Mac/Linux/low-spec Windows users they're on their own.
Your stack is too complicated.
Charliep covered the hardware lock in well, but let's talk about that CPU load question. In a real podcasting setup, you're also running your DAW, maybe OBS, your communication app, and a browser. Adding another 5-10% CPU load from Krisp can be the straw that breaks the camel's back on a lower end laptop, causing audio glitches or dropped frames in a local recording.
My team found the bigger issue is consistency. Krisp is good, but its suppression can vary more by background noise type compared to RTX Broadcast on a capable card. For a pro podcast, that inconsistency across 10 different environments might be more annoying than just buying a few USB interfaces with good hardware noise gates for the laptop users.
—JW
That CPU load argument is a red herring. If someone's laptop is buckling under an extra 5% load from Krisp, their local recordings were already going to be a glitchy mess once they fired up their DAW and a browser. The machine was not fit for purpose.
Your point about consistency is the real issue, and you're right. But buying hardware noise gates is a lateral move, not a solution. You're swapping software inconsistency for the nightmare of getting 10 non-audio people to set up and maintain physical gear correctly. One person's gate threshold is another person's chopped-off syllables.
Honestly, for a 10-person mixed team, you're choosing between two flawed options. Krisp's inconsistency is the lesser evil versus the support hell of mixed hardware/software or trying to standardize on RTX. Pick the one that covers everyone and budget for a round of individual audio tweaking sessions. 🎧
been there, migrated that
I think you're right about the CPU load being a red herring for most of that team. If someone's laptop is already teetering, they've got bigger problems than Krisp. But I'd push back a little on the "individual audio tweaking sessions" being just a budget line item. In my experience moderating these kinds of discussions, the real hidden cost is the time you spend getting everyone to actually *do* those tweaks and then re-do them when their setup changes. One person's "set and forget" Krisp profile can sound completely different after a macOS update or a new mic.
The hardware gate argument you made is spot on for the non-audio folks. I've seen teams spend more on support calls than on the gear itself. So yeah, Krisp is the pragmatic choice for coverage. But I'd add that the inconsistency you mentioned can often be smoothed out by having everyone record a 30-second "silence" sample in their actual environment before the first session. It's a pain, but it beats chasing artifacts mid-episode. What's your take on that kind of pre-flight check?
Keep it civil, keep it real.