AI Researcher and Physicist Max Tegmark, Ph.D. sits down with VAST Data Founder & CEO Renen Hallak to discuss the opportunity for amplifying human intelligence with artificial intelligence to solve some of society’s most pressing problems.
The VAST Data Platform is a breakthrough approach to data-intensive computing that serves as the comprehensive software infrastructure required to capture, catalog, refine, enrich, and preserve data through real-time deep data analysis and deep learning.
Resources to keep you moving forward.
Renen Hallak + Max Tegmark
The Grand Unification Theory of AI Infrastructure
VAST co-founder Jeff Denworth introduces a revolutionary system concept that makes AI computing radically easier, more scalable and more efficient than ever before.
The VAST Data Platform White Paper
Introducing the VAST Data Platform – a revolutionary all-encompassing software framework, thoughtfully designed to organize, enhance, and safeguard data, while unleashing the full potential of real-time deep data analysis and AI.
Reinventing data foundation from the ground up.
The VAST DataStore
In 2019, VAST Data introduced a new approach to storing and serving unstructured data - the VAST DataStore. By breaking the tradeoff between performance and capacity, the DataStore is now the foundation for enterprise AI-ready unstructured data storage.
The VAST DataSpace
In 2023, VAST Data introduced a new approach to providing global data access from edge to cloud. By breaking the tradeoff between strict-consistency and local performance, the DataSpace makes it possible to compute on data from any public, private or edge cloud platform.
The VAST DataBase
The VAST DataBase is the first modern architecture aimed at delivering the transactional performance of a database, the analytical performance of a data warehouse and the scale and affordability of a data lake.
The VAST DataEngine
In 2024, the VAST Data Platform will breathe life into data by adding support for triggers and functions into the system. The VAST DataEngine is designed to enable recursive data computing by allowing functions to process datasets that extend from the event queue to the data lake.