Why Serverless Compute Partners Are Now More Important Than Ever

AI models are rapidly advancing in their capabilities across various domains, leading businesses to integrate them into workflows to enhance efficiency and cost-effectiveness. However, these advancements present challenges in infrastructure management, as traditional techniques are unsuitable for handling the unique demands of AI workloads, which are often bursty and unpredictable. This necessitates over-provisioning of GPU capacity to maintain service quality, though it can negatively impact margins due to underutilization. The scarcity and fragmentation of GPUs further complicate capacity planning, requiring companies to diversify across regions and clouds to manage demand and compliance needs effectively. As AI systems increasingly influence production-critical systems, businesses must partner with infrastructure providers to manage the complexities of deployment, allowing them to focus on product differentiation and customer outcomes without being bogged down by operational complexities. Cerebrium offers a solution in this space by providing a serverless AI infrastructure layer that facilitates global deployment and scalability, enabling companies to adapt to changing hardware landscapes and meet the growing expectations of a global customer base.