VAST Data certified by NVIDIA for cloud partnerships

VAST Data, the AI data platform company, announced that the VAST Data Platform has been certified as a high-performance storage solution for NVIDIA Partner Network cloud partners.

This certification underscores VAST’s position as a leading data platform provider for AI cloud infrastructure, and further strengthens VAST’s collaboration with NVIDIA in building out next-generation AI factories.

VAST provides a unified set of storage and data services that empowers cloud service providers (CSPs) to offer a comprehensive catalogue of data-centric offerings that are deeply integrated with NVIDIA technologies.

Uniquely designed to meet the stringent requirements of large-scale AI cloud infrastructure, the platform supports training and fine-tuning AI models of all sizes and modes, ranging from multimodal and small language models with less than ten billion parameters to the world’s largest models consisting of over one trillion parameters.

“This certification with NVIDIA builds on VAST’s already tremendous success with CSPs as the de facto AI data platform solution for large-scale, cloud infrastructure,” said John Mao, vice president, technology alliances at VAST Data.

“With the VAST Data Platform independently validated and certified through the NVIDIA Partner Network, organisations can more confidently and securely deploy their AI models at unprecedented scale across thousands of GPUs.”

With seamless scalability and industry-leading uptime, the platform enables service providers with capabilities that span the complete AI pipeline – from multi-protocol data ingest, accelerated data preprocessing for feature engineering, and high-performance storage for model training with fast checkpoints and restores to edge data management for model serving and end-to-end cataloguing to meet audit and compliance requirements.

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The platform serves as the comprehensive software infrastructure required to capture, catalogue, refine, enrich, and preserve data through real-time deep data analysis and learning.

This empowers AI clouds to offer a diverse range of data services to their customers, further enhancing their AI capabilities.

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