VAST Data, a data platform company specializing in the AI era, has unveiled its groundbreaking data computing platform, the VAST Data Platform, aimed at revolutionizing AI-assisted discovery.
The VAST Data Platform is a comprehensive global data infrastructure solution that seamlessly integrates storage, database, and virtualized compute engine services into a scalable system. This platform is purpose-built to meet the demands of future AI applications and represents a major leap forward in the field of AI-driven discovery.
Moving Beyond Large Language Models (LLMs) to Empower AI Discovery
While large language models and generative AI have showcased early capabilities in artificial intelligence, they are limited to performing routine tasks and reciting known information. The true potential of AI lies in its ability to facilitate the process of discovery by capturing, synthesizing, and learning from data. This paradigm shift enables machines to achieve a level of specialization that used to take decades in just a matter of days.
The era of AI-driven discovery holds the promise of accelerating solutions to humanity’s greatest challenges. It can help industries find cures for diseases and cancers, address climate change, revolutionize agriculture, and uncover new scientific and mathematical frontiers.
The Need for a Unified Data Platform
As AI applications gain traction, enterprises seek a unified data platform that simplifies data management and processing within one stack. Existing data platforms are popular for business intelligence and reporting but fall short of meeting the needs of deep learning applications. The next generation of AI infrastructure must deliver parallel file access, GPU-optimized performance, and a global namespace spanning hybrid multi-cloud and edge environments, all within a manageable offering to enable federated deep learning.
Introducing the VAST Data Platform
The VAST Data Platform is designed to resolve fundamental infrastructure tradeoffs that previously hindered real-time global data computing and understanding. It offers a three-fold approach:
1. VAST DataStore: A scalable storage architecture for unstructured data, eliminating storage tiering. It supports enterprise file storage and object storage interfaces, making it ideal for AI computing architectures and big-data platforms.
2. VAST DataBase: A semantic database layer embedded natively into the system, simplifying structured data management. It combines the characteristics of a database, data warehouse, and data lake, allowing rapid data capture and real-time queries at any scale.
3. VAST DataEngine: A global function execution engine supporting popular programming languages. It enables the enrichment and understanding of raw unstructured data, while also providing AI pipeline management.
The VAST DataSpace: A global namespace enabling high-performance data storage, retrieval, and processing across multiple locations, including on-premises data centers and leading public cloud platforms like AWS, Microsoft Azure, and Google Cloud.
Unlocking the True Value of Data for AI Discovery
With the VAST Data Platform, VAST Data aims to democratize AI capabilities and empower organizations to unleash the full potential of their data. The VAST DataStore, DataBase, and DataSpace are already available, while the VAST DataEngine is set to be released in 2024.
VAST Data CEO and Co-Founder, Renen Hallak, expressed excitement about the VAST Data Platform, which encapsulates the ability to create and catalog understanding from natural data on a global scale. The platform consolidates entire IT infrastructure categories, paving the way for the next era of large-scale data computation and AI-driven discovery.
For more information and content on VAST’s vision for the future of AI, including keynote presentations, testimonials, and industry insights, visit BuidBeyond.ai.
