The VAST Vector Database can store trillions of vector embeddings, far exceeding the limitations of currently available vector databases.
Meet the world’s first solution to securely ingest, process, and retrieve (RAG) all enterprise data; files, objects, tables, and streams — In Real-Time.
Meet the VAST InsightEngine with NVIDIA, an application workflow running on the VAST Data Platform that creates and stores Vector Embeddings making enterprise data instantly usable for AI-driven decision making and Agentic AI.
Power Real-Time Agentic AI for Autonomous Decision-Making
NVIDIA NIM™ microservices run natively within the VAST Data Platform, embedding the semantic meaning of incoming data immediately when new data is ingested.
The vector and graph embeddings are then stored in the VAST Vector Database within milliseconds after the data is captured to ensure that any new file, object, table or streaming data is instantly ready for advanced AI retrieval and inference operations.
The result: AI agents are able to execute decisions and tasks instantly across all data.
Streamline Data Pipelines with Real-Time Vector Data Embedding
Bypass traditional batch processing delays and simplify data pipeline management.
​
By embedding unstructured data in real time, the platform ensures that new files, objects, or streams are immediately searchable and available for AI-driven tasks that leverage retrieval.
This seamless integration drastically reduces operational complexity, enabling businesses to focus on generating insights rather than managing infrastructure.
Video - VAST InsightEngine with NVIDIA: Enterprise RAG at Scale
A presentation of the VAST InsightEngine with NVIDIA by Jeff Denworth, Co-founder of VAST Data and Andy Pernsteiner, CTO of VAST Data.
NVIDIA NIM microservices create vector embeddings - the semantic meaning of incoming data – instantly as new data arrives. Embeddings are then stored in the VAST DataBase within milliseconds.
Simplifying AI Data Management with a Unified Architecture
The VAST Data Platform’s unified architecture makes the Insight Engine possible.
VAST Data’s Disagregated Shared Everything architecture (DASE) enables the world’s first unified Data Platform for Unstructured Data, Database Tables, Vector Embeddings and Compute all running on a single, scalable software platform.
DASE enables the InsightEngine to leverage real-time data storage, real-time processing, and real-time retrieval (RAG).
​
The DASE architecture also enables an All-Flash Data Platform at HDD economics that scales to exabytes with a single global namespace.
Learn more about VAST Data’s DASE architecture at the VAST DataStore page:
Blog Post – The End of the Unstructured Data Era
In this blog post, Jeff Denworth, co-founder of VAST Data, posits that the idea of a standalone file system is fading as AI becomes increasingly embedded into core business applications.
More is needed from data infrastructure so that intelligent applications can benefit from getting the broadest access to all of an organization’s unstructured data via Retrieval Augmented Generation (RAG), which paves the way for general enterprise adoption of agentic AI applications.
Jeff describes a generalized AI Retrieval workflow and the challenges to implementing such a workflow with currently available technologies and then introduces the VAST InsightEngine with NVIDIA, an all-encompassing system to support AI Retrieval.
The VAST Database has broken fundamental database tradeoffs
The VAST Database combines the transactional performance of an ACID compliant database, real-time stream processing, a Vector Database and the query performance of a data warehouse at the cost of a data lake.
How can a single database serve these various use cases?
The answer is simple; the VAST Database was designed to run on an All-Flash platform with indexes stored in a high-speed Storage Class Memory (SCM) tier and an embarrassingly parallel architecture – DASE.
Scale AI Retrieval with Trillions of Vector Embeddings
VAST’s scalable semantic vector database can handle trillions of vector embeddings, far exceeding the limitations of currently available vector databases.
High Performance Ingestion & Analysis of Structured Data
The VAST Database is capable of ingesting millions of transactional row-based data per second and then running queries using granular columnar formats enabling customers to amplify their query speeds by over 20X.
​​​
Streamlined Operations Simplify the Entire AI Data Lifecycle
Organizations benefit from streamlined operations where all data types—files, objects, tables, streams and vector embeddings —are managed in place thus eliminating data copying and ETL processes.
Achieve Atomic Data Security and Compliance for AI
VAST InsightEngine provides atomic-level security by embedding Access Control Lists (ACLs) into each data element and ensuring data provenance for secure AI-driven workflows.
This approach simplifies security management by eliminating the need to synchronize permissions across siloed data systems.
Certified Solution and Fully Integrated with the NVIDIA Ecosystem AI at any scale, made super simple.
VAST Data and NVIDIA have joined forces to simplify AI at every stage of the AI journey.
​
VAST Data’s certified integration with NVIDIA DGX BasePOD™, DGX SuperPOD™, GPUDirect™, BlueField-3®, and NVIDIA Inference Microservices (NIMs) accelerates AI initiatives, enabling limitless scalability, real-time insights, and streamlined data pipelines for enterprise AI infrastructure.
Video - Jensen Huang & Renen Hallak | NVIDIA & VAST Accelerate Enterprise AI
Jensen Huang, co-founder and CEO of NVIDIA and Renen Hallak, co-founder and CEO of VAST Data, offer a behind-the-scenes look at how the two companies are breaking new ground for AI with the all-new VAST InsightEngine with NVIDIA.
They discuss the challenges of scaling enterprise AI, the shift from training to real-time inference, and how their joint efforts are helping companies turn vast amounts of proprietary data into valuable digital intelligence.
Video - NVIDIA | VAST – Building the VAST InsightEngine with NVIDIA for Agentic AI
NVIDIA’s Kevin Dierling and VAST Data’s Jeff Denworth explore how NVIDIA and VAST are driving AI advancement with the VAST InsightEngine with NVIDIA, which transforms enterprise data into actionable insights at unprecedented speed and scale.
Cosmos: The AI Community for All
Cosmos is the first AI user community of its kind, created to transform how organizations build and advance AI by fostering innovation, collaboration, and growth. Built by AI practitioners for AI practitioners, it unites experts from across the ecosystem to democratize AI’s benefits.
Organizations can leverage Cosmos to take advantage of new AI labs and a growing library of proven reference architectures from leading vendors, service and solution providers, educational institutions and innovators from every sector to educate and train community members and drive AI adoption and Innovation.
The Cosmos sets the stage for the next era of AI-driven transformation.
Video - Core42 | VAST – Building the AI Data Cloud at Core42
Core42 and VAST Data are transforming how industries power their AI ambitions.
By combining Core42’s cloud sovereignty and VAST’s revolutionary data management, the partnership is reshaping AI enablement.
Video - CoreWeave | VAST Data – Scaling AI: The Journey of Hyperscaler CoreWeave in Transforming Compute
Together, CoreWeave and VAST Data deliver a transformative AI infrastructure—pushing the boundaries of scale, speed, and data mobility.
This partnership is more than a technical alliance; it’s a fusion of vision and culture, enabling both companies to accelerate innovation and solve the most complex challenges for AI-driven enterprises.
Video - HSBC | VAST – Transforming Financial Services: AI-Driven Innovation at HSBC
Discover how HSBC is harnessing AI and VAST’s advanced data platform to revolutionize banking.
HSBC is leveraging its proprietary data and cutting-edge infrastructure to enhance customer experience, improve risk management, and drive ethical, compliant AI adoption.