NVIDIA's Jeremy Krinitt talks about innovation, AI, and audio
Originally published on GPU Audio Medium
Having studied graphics animation and audio and video production at college, Jeremy Krinitt moved through a number of different industries. He's done everything from developing AI solutions and 3D applications to building businesses in security and entertainment. Now, Jeremy is the Senior Developer Relations Manager at NVIDIA, helping partners to look at the company's technologies, adopt them, and, as he puts it, get the most out of the software and hardware NVIDIA develops.

Discussing what innovation looks like at the company during our interview, Krinitt says that almost everything is driven in that direction, both in terms of the structure and the types of challenges that NVIDIA picks up. "We [primarily] focus on problems that are very difficult to solve — things that require a huge amount of computing [and] a ton of research to break through barriers," he elaborates. "By developing those technologies, our goal is to provide those capabilities to our partners so that they can build on top of them and allow them to achieve their goals and vision."
NVIDIA covers a plethora of areas, doing research in everything from autonomous vehicles to climate change, tuning in on what the researchers are doing, and enabling them to do it in "much greater detail at a much grander scale." Of course, a key field of focus is AI, how it applies across a plethora of industries, and allowing the company to use systems with robust computing to help solve those issues.

NVIDIA isn't the only company that's working in that area. Even at NAMM, Jeremy tells me he's seen a lot of startups and businesses utilizing AI for audio segmentation. "[You] take a mix and separate [it] into its individual components," the Senior Developer Relations Manager says. Simulating particular sounds, matching effects, and using computing to be able to do things like volumetric audio have also been the trends at the conference.

"I think there's a lot of exciting stuff happening in generative content: already, we've seen that AI has been applied to composed pieces of music," Krinitt continues. "I can see a lot of applications for AI research and spaces of sound, whether it's generating audio, creating new instruments, helping composers be more efficient, [or] focusing on what they're trying to do creatively." Artificial Intelligence can act as an assistant in driving artists toward their goals, enable them to be more flexible in what they're creating, and open up opportunities for collaboration. "It enables connections around the world and that's something that music has always done," he adds.

Talking about how NVIDIA develops the technologies that its partners then use in a variety of ways, Jeremy mentions GPU Audio — one of its partners — as an example. "The organization has been doing some really innovative stuff and taking advantage of the hardware that we've developed and the software that's on top of that to enable efficient, really low-latency compute on the GPU," he elaborates. "We're really trying to enable these difficult technologies so that our partners can take advantage of that. Audio is a really big part of where we're seeing the ability to take…GPUs and AI in order to extend people's vision even further."

For Jeremy, what makes this really exciting in terms of the audio processing space is making these capabilities much more broadly available. Even if you can't play an instrument, the ability to create something through software that would allow you to still bring the music project to life is very valuable. "The ability for [people] to be a part of the creative process and make everyone a creator [is] something that will be really exciting," he concludes.
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