Music AI is empowering creators to revolutionize audio technology. With more than 45 proprietary AI offerings, its Moises consumer app reaching over 65 million users, and enterprise-grade APIs and SDKs, Music AI supports labels, developers, and manufacturers worldwide.
But with great reach and a great range of AI opportunities come great infrastructure demands. That’s why Music AI uses Vultr. (Read more in Music AI’s customer case study.)
With high-performance GPUs on Vultr Bare Metal GPU Cloud, specifically 8x NVIDIA H100 GPUs, as well as Kubernetes and transparent, predictable pricing, Music AI has unlocked:
- Large-scale model training
- Cross-regional workload portability
- Democratized access without compromising performance
“We were looking for a cost-effective way to run training workloads with 8xH100s. Vultr delivered exactly that,” said Fernando Grunevald, software architect at Music AI. “Early access to high-end machines let us train our models faster and keep momentum across our engineering team.”
Vultr was recommended to Music AI by Dell because of the flexibility to align budget with development schedules, keeping the team on track for important milestones while staying true to budget.
Vultr’s worldwide presence is also important to Music AI. The platform supports 33 languages, making it accessible to its wide user base spanning the United States, South America, and Europe. That reach and specialization is possible because of Vultr, with reliable access to high-performance AI infrastructure reaching 90% of the world’s population in 2-40ms.
“Vultr’s global infrastructure, especially its presence in Latin America, helps us serve millions of users and creators with low-latency experiences that push the boundaries of music and audio innovation,” Grunevald said.
Read the full Music AI case study to learn more about its Vultr success story.