Cloud computing platform Vultr today launched a new serverless Inference-as-a-Service platform with AI model deployment and inference capabilities.
Vultr Cloud Inference offers customers scalability, reduced latency and provides cost efficiency, the company said in a statement.
For the uninitiated, AI inference is a process that uses a trained AI model to make predictions based on new data. So when an AI model is trained, it learns patterns and relationships with which it can generalize to new data. The bottom line is when the model applies that learned knowledge to help organizations make customer-friendly, data-driven decisions by using those accurate predictions, as well as generating text and images.
The speed of innovation and the rapidly evolving digital landscape have challenged businesses around the world to effectively implement and manage AI models. Organizations struggle with complex infrastructure management and the need for seamless, scalable deployment across geographies. This is why AI product managers and CTOs are constantly on the lookout for solutions that can simplify the implementation process.
“With Vultr Cloud Inference…we’ve designed a key solution to these challenges, offering a global, self-optimizing platform for deploying and serving AI models,” Kevin Cochrane, director of marketing at Vultr, told SD Times. “Essentially, Vultr Cloud Inference provides the technology foundation that enables organizations to deploy AI models globally, ensuring low-latency access and consistent user experiences around the world, transforming the way businesses innovate and scale with AI.”
This is important for organizations that need to optimize AI models for different regions while maintaining high availability and low latency across a distributed server infrastructure. With Vultr Cloud Inference, users can have their own models—regardless of the platforms they were trained on—integrated and deployed on Vultr’s infrastructure, powered by NVIDIA GPUs.
According to Vultro’s Cochrane, “This means AI models are served intelligently on the most optimized NVIDIA hardware available, ensuring peak performance without the hassle of manual scaling. With a serverless architecture, companies can focus on innovation and value creation through their AI initiatives rather than focusing on infrastructure management.”
Vultr’s infrastructure is global, spanning six continents and 32 locations, and, according to the company’s announcement, Vultr Cloud Inference “ensures that companies can respect local data sovereignty, data residency and privacy regulations by deploying their AI applications in regions that comply with legal requirements and business goals.”