Building a Data-Centric AI Inference Stack with Vultr, VAST Data, and NVIDIA

The collaboration between Vultr, VAST Data, and NVIDIA Enterprise aims to create a data-centric AI inference stack that addresses the challenges of real-world AI deployment, emphasizing inference performance, scalability, and infrastructure efficiency. As AI models become larger and inference pipelines more complex, the focus shifts from compute to data movement and orchestration, prompting the need for a new infrastructure model. Vultr expands its partnership with NVIDIA and welcomes VAST Data to enhance their cloud compute and GPU infrastructure, integrating NVIDIA’s Dynamo inference framework and Nemotron model family with the VAST AI Operating System. This partnership is designed to support large-scale, data-intensive AI workloads by aligning high-performance GPU infrastructure with a unified data platform, simplifying the foundation for AI pipelines and enabling continuous data-driven AI systems across various industries. By doing so, it reduces operational complexity and enhances inference efficiency, allowing enterprises to build scalable AI environments that prioritize performance and efficiency while supporting the continuous interaction between models, data, and compute.

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