Unify, Activate, Automate
VAST Data is an AI data platform company delivering a unified, all‑flash data computing platform designed specifically for AI, deep learning and large‑scale analytics. Built on a disaggregated, shared‑everything architecture, the VAST Data Platform enables organisations to store, access and process massive volumes of structured and unstructured data in real time, eliminating legacy storage tiers and infrastructure complexity while optimising performance and efficiency for AI workloads.
VAST Data Platform
The unified platform for data‑driven AI
VAST DataStore
A universal data store built for AI workloads
VAST DataBase
A database layer for large‑scale analytics and AI metadata
VAST DataSpace
One global namespace for data, wherever it lives
VAST DataEngine
Data services and event processing to accelerate AI pipelines
VAST InsightEngine
Real‑time data preparation for RAG and enterprise AI
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Cisco
VAST Data has an expanded partnership with Cisco to deliver end‑to‑end AI infrastructure solutions. The VAST Data Platform is integrated with Cisco UCS servers and Cisco networking as part of full‑stack enterprise AI solutions, jointly positioned to simplify AI deployments for enterprises.
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NVIDIA
VAST Data has a deep and long‑standing alliance with NVIDIA, aligning its platform closely with GPU‑accelerated AI environments. Public coverage consistently positions NVIDIA as a core ecosystem partner, with VAST integrating its data platform into NVIDIA‑based AI infrastructure and GPU pipelines.
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Unified AI Data Platform
The VAST Data Platform is positioned as an integrated stack that combines core building blocks, storage, a database component, a global namespace and data services, so organisations can manage and use data for AI without stitching together multiple systems. In partner and industry summaries, the platform is described as foundational for AI‑era infrastructure, with components that support enterprise data access and AI pipeline needs across environments.
High‑Performance Data Storage
VAST DataStore is presented as a “universal data store” engineered for real‑time analytics, HPC and AI workloads, with the goal of eliminating inefficient storage tiers. VAST describes it as consolidating enterprise data into a single platform to simplify management and accelerate AI adoption, emphasising consistent performance on an all‑flash architecture and a design intended to scale across large environments.
Scalable Analytics Database
VAST DataBase is positioned in VAST platform documentation as a database component intended for large‑scale data analysis, with emphasis on combining transactional and analytical characteristics in a single approach. In broader platform descriptions, it’s also listed as one of the core platform building blocks underpinning AI‑era infrastructure, supporting the structured layer that complements unstructured datasets commonly used in AI pipelines
Global Unified Data Access
VAST DataSpace is described in platform summaries as the global namespace layer, designed to unify access across edge, core and cloud environments. Third‑party solution overviews also highlight “Unified Global Namespace (DataSpace)” as a capability that consolidates workloads onto a single platform and simplifies management across environments—an important requirement when AI teams need fast, reliable access to distributed datasets.
AI Data Processing Engine
VAST DataEngine appears as a core component in VAST’s AI reference architecture materials and in partner datasheets describing the platform’s foundational primitives. These sources position DataEngine as part of the platform layer that supports AI‑era workflows (alongside storage, a database component and a global namespace), enabling organisations to build more responsive, automated approaches to data processing that better align with AI and analytics demands.
Real‑Time AI Pipelines
VAST InsightEngine is positioned by VAST as a capability that simplifies and scales AI pipelines “from ingest to inference,” with focus areas including unified data, event‑driven automation and governance. VAST explicitly frames InsightEngine around enterprise AI pipeline challenges (including retrieval‑augmented generation), describing a consolidated approach that reduces complexity and improves how teams operationalise AI workflows on live data.
Your VAST Questions, Answered
VAST Data is used to help organisations store, access and analyse large volumes of structured and unstructured data for AI, analytics and data‑driven workloads. It provides a unified platform that supports modern use cases such as AI model training, real‑time analytics and data‑intensive applications without relying on complex, tiered storage architectures.
VAST Data is designed to support AI and machine learning by enabling fast, scalable access to enterprise data where AI workloads need it most. By unifying data storage and data services in a single platform, organisations can reduce data movement, simplify AI pipelines and accelerate insight generation across training, inference and analytics use cases.
Dicker Data is the authorised distributor for VAST Data in Australia and New Zealand, providing local availability, channel enablement and regional expertise. Partners and customers benefit from access to VAST Data’s AI‑ready solutions alongside Dicker Data’s broader infrastructure ecosystem and local support.
Dicker Data supports partners and customers with local distribution, sales enablement and access to a broader AI and infrastructure ecosystem across Australia and New Zealand. By working with Dicker Data, you gain regional expertise, streamlined procurement and ongoing support to help position, deploy and scale VAST Data solutions with confidence. Reach out to our team here for more information.
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