Higgsfield scales AI video on DigitalOcean

This is a GPU economics story as much as a cloud case study: reliable capacity directly protects margins and user experience in generative video.

• –Higgsfield evaluated 15+ neoclouds before choosing DigitalOcean for enterprise traffic.
• –Other providers reportedly left up to 20% of contracted GPU time unusable due to instability and network failures.
• –Routing enterprise requests to DigitalOcean helps Higgsfield meet higher uptime SLAs while keeping consumer pricing accessible.
• –The company’s reported jump from sub-$100M to a $1B annualized run rate in 18 months shows how quickly reliable inference infrastructure can become a growth constraint.
• –The $1B figure is annualized run rate, not cumulative revenue, so the headline number deserves careful interpretation.