Music.AI Announces Deal With Cloud Platform Vultr, Anticipates Training Four Times Faster Than Before

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Music.AI has finalized a deal, focused initially on training, with cloud platform Vultr. Photo Credit: Music.AI

With an eye on improving the efficiency of training, AI-powered audio service Music.AI has officially unveiled a partnership with Constant-developed cloud platform Vultr.

Music.AI reached out with word of the tie-up, which has arrived about six months following the AI business’s formal rollout. Emphasizing the “ethical” nature of its offerings, the service says it boasts “a wide range of proprietary AI models as well as carefully vetted best-in-class third-party technologies.”

According to the Music.AI platform itself, which is said to process two million minutes of audio daily for north of 45 million users, those tools cover stem separation, various effects, mastering, automatic tagging, and much else. Behind the products, there are, of course, substantial development costs as well as additional expenses associated with the overarching objective of accelerating machine learning.

And with a number of reports pointing to cash-related obstacles even at today’s largest AI companies, the rapidly evolving space’s long-term winners may ultimately be the players most effective in quickly and efficiently processing enormous amounts of data.

Running with that point, Music.AI says its just-finalized cloud union “is supported by Dell,” with Vultr powered specifically by Dell PowerEdge XE9680 servers with NVIDIA H100 Tensor Core GPUs.

In less technical terms, “Music.AI can train 4 times faster than previously” as a result of the Vultr union, according to the self-described audio intelligence platform for businesses. The capability will set the stage for the cost-effective deployment of AI at scale, higher-ups drove home.

Looking to the bigger picture, Music.AI says it’s able to “seamlessly deploy and scale its models not only in North America, but also across Vultr’s 32 cloud data center locations, spanning six continents.” And beyond training, the cloud provider’s resources could ultimately factor into “regional tuning and global inference,” per Music.AI.

“We are excited to be collaborating with Vultr and Dell as we pioneer new AI services to revolutionize sound,” Music.AI CTO Hugo Rodrigues said in part. “With their help, we will grow and scale our enterprise business, delivering state-of-the-art AI solutions for a diverse range of applications such as stem separation and voice timbre modeling.”

Notwithstanding the substantial industry criticism that’s reaching certain AI applications, “ethical AI” remains a major focus.

The Worldwide Independent Network this week announced a collection of related guidelines for generative AI, and closer to May’s beginning, Randy Travis harnessed AI to release (via Warner Music) his first new track in more than a decade. Capital is continuing to pour into AI music creation as well – including companies like Suno, which just recently scored $125 million from investors.