Music AI + Vultr: Accelerating Model Training
Music AI + Vultr: Accelerating Model Training
Music AI scaled 45+ proprietary AI modules to 65M+ users with Vultr Bare Metal infrastructure and 8x NVIDIA H100 GPUs.
Music AI scaled 45+ proprietary AI modules to 65M+ users with Vultr Bare Metal infrastructure and 8x NVIDIA H100 GPUs.
Music AI needed faster access to powerful compute without unpredictable costs to scale their ambitious AI audio product portfolio. Training advanced models for stem separation, voice modeling, and real-time transformation required consistent GPU access and distributed compute across large datasets.
Music AI implemented Vultr Bare Metal GPU servers with 8x NVIDIA H100 GPUs, enabling distributed training on PyTorch and Ray while maintaining predictable costs and avoiding vendor lock-in across their multi-cloud strategy.
Multi-cloud GPU strategy delivers flexibility without vendor lock-in
Multi-cloud GPU strategy delivers flexibility without vendor lock-in
Music AI leverages Vultr's competitive GPU pricing and global infrastructure to align compute spend with model development timelines. The company can now hit performance milestones without sacrificing budget discipline while scaling AI audio models for both their consumer app Moises and enterprise B2B platform.
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