Case Study: Higgsfield AI scales generative AI workloads with Gcore managed Kubernetes and H100 GPUs

Higgsfield AI launches in 1 week with Gcore's scalable H100 GPU infrastructure

Higgsfield AI, a company building a video reasoning engine, needed robust and flexible infrastructure to scale its generative AI platform. They struggled with limited GPU capacity and a lack of scalable orchestration from other providers. Their challenge was to find instant access to high-performance H100 GPUs with autoscaling capabilities and managed Kubernetes support, which led them to the vendor Gcore.

Gcore provided Higgsfield AI with rapid access to H100 GPUs and a managed Kubernetes environment with GPU worker nodes and autoscaling. This solution offered the on-demand scalability and engineering support they required for their dynamic workloads. The results included a seamless deployment to production and a strong, scalable foundation for future product growth and global expansion.

Higgsfield AI