Generative video is among the most demanding AI workloads, requiring real-time inference, low latency, and the ability to scale seamlessly. Prior to working with GMI Cloud, Higgsfield faced rising compute costs—growing at 25% month over month—along with 24-hour training runs and inference delays of up to 800 milliseconds. These challenges limited their ability to innovate quickly and deliver smooth real-time user experiences.

By migrating to GMI Cloud, Higgsfield gained access to the latest NVIDIA GPUs, a tailored cluster and inference engine optimized for their unique workloads, and right-sized resource planning to minimize idle spend while enabling rapid scale-up. Unlike generic cloud providers, GMI Cloud worked as a hands-on partner, aligning infrastructure strategy with Higgsfield’s long-term creative roadmap.

“Generative video is one of the most performance-intensive AI applications, and the ability to scale without compromise is critical,” said Alex Mashrabov, CEO of Higgsfield.ai. “GMI Cloud not only provides the infrastructure we need, but they also act as a co-creator of value, partnering with us to build the future of video creation.”

As Higgsfield enters its next stage of growth, the company plans to expand its user base and evolve its product features with GMI Cloud at the core of its infrastructure strategy. This includes broader use of GMI’s orchestration, storage, and workload management capabilities to ensure their platform continues to meet global demand.