VAST Data has emerged as a ground breaking Data Platform specialising in helping Government’s modernise their data infrastructure to provide solutions for Advanced Analytics, AI workloads, and Compliance/Security. Infrastar is proud to partner with innovative technologies like VAST, not only to be at the cutting edge of the tech space but to complement hardware partners.

VAST Products & Solutions

By providing a comprehensive and unified platform, the VAST AI Operating System empowers organisations to unlock the full potential of their data and accelerate their Data and AI initiatives, moving from complex, fragmented toolchains to a cohesive commercial environment for building and running intelligent systems

The Foundation Data Platform Services: DataSpace, DataStore and DataBase

This is the globally-distributed data computing layer. It allows organizations to manage and access data that might be spread across different locations, whether on-premises, in the cloud, or at the edge. It provides a unified view of all your data.
Building on our Universal Storage roots, the DataStore is where your data lives. It’s a high-performance, scalable, and resilient file and object storage system. It’s designed to ingest, store, and provide rapid access to the massive datasets required for AI, including files, objects, and volumes.

This isn’t just a traditional database. It’s a database built for AI, capable of handling diverse data types including structured data (like tables in an Enterprise Data Warehouse – EDW), contextual meta data about unstructured data (like text and images), vectors (critical for many AI algorithms like similarity search), streams (for real-time data processing), catalogs, and logs.

The DataSpace provides the overarching fabric. Within it, the DataStore efficiently holds all types of raw and processed
data, while the DataBase organizes and makes this data queryable and usable for AI model training and inference

The Engines: DataEngine and InsightEngine

This layer sits on top of your data and provides the computational power. It’s a runtime and scheduler that can execute
various workloads, including those based on Lambdas (serverless functions), events, key-value acceleration, and containers.
It’s the engine that processes data, runs transformations, and prepares data for AI models.

This component is focused on extracting intelligence from your data. It provides services like real-time embedding
microservices (transforming data into a format AI can understand), agent and model orchestration, agentic tool services, and
pipeline observability. This is where data begins to turn into actionable insights.

The DataEngine provides the raw power and execution environment. The InsightEngine leverages this power to run more
specialized AI-related tasks, generate embeddings, and manage the complex workflows of AI models and agents. For example,
the DataEngine might run a data cleaning pipeline, and then the InsightEngine would use that cleaned data to generate vector
embeddings for a similarity search application.

The Intelligence Layer: VAST AgentEngine and AI Agents/Applications

This is a crucial component for managing and orchestrating AI agents. These agents can be thought of as autonomous
programs that can perform tasks, make decisions, and interact with their environment. The AgentEngine provides the message
bus and infrastructure for these agents to communicate and collaborate.

This is the top layer where the value of the AI Operating System is realized. These are the actual AI models and applications
your organization builds or uses. Examples include:
• AI Agents: Data Engineers, Strategic Advisors, Clinical Pathologists, Algorithmic Traders, Biochemists (as depicted, these
can be open source or custom-built).
• Applications: Video Editors, Quant Traders, Personal Assistants, and other data-driven applications.

The underlying layers (DataStore, DataBase, DataEngine, InsightEngine) provide the data, processing power, and foundational AI services. The AgentEngine then empowers developers to build and deploy sophisticated AI agents that leverage these capabilities. These agents can then be embedded into various applications or operate autonomously to achieve specific goals. For instance, an “Algorithmic Trader” agent would use market data from the DataBase, processed by the DataEngine, with insights generated by the InsightEngine, all orchestrated by the AgentEngine to make trading decisions.

Security & Observability

Integrated throughout the entire stack, ensuring that data is secure, access is controlled, and the system’s performance and behaviour can be monitored and understood.

Putting It All Together: A Unified Platform for AI

The VAST AI Operating System is designed to break down silos that often exist between data storage, data processing, and AI model deployment.

• Data is ingested and stored efficiently in the DataStore and made AI-ready by the DataBase
• The DataEngine provides the power to process this data at scale
• The InsightEngine helps extract meaningful patterns and insights
• The AgentEngine allows for the creation and management of intelligent agents that can act on these insights
• All of this is accessible through the DataSpace and governed by robust Security and Observability

VAST Partners with Infrastar Partners

In partnership with Supermicro, VAST’s DASE architecture is made available on industry-standard servers. With VAST & Supermicro, get hyperscale infrastructure that simplifies the deployment & expansion of data-driven workloads like AI, HPC, and analytics.

Leverage Supermicro’s advanced hardware for superior AI and cloud performance.

Benefit from scalable solutions that adapt to growing data demands.

Enjoy reduced ownership costs through efficient, integrated technologies.

Depend on robust support and reliable operations from a strong partnership.

Rapid Evolution Needs Rapid Results

The rapid evolution of AI technology is placing unprecedented demands on traditional IT infrastructure. Enterprises are eager to leverage AI for new insights and competitive advantage, yet they face significant hurdles in deploying and managing the underlying compute and data platforms. Training sophisticated AI models requires processing massive datasets at high velocity, demanding infrastructure that is robust and secure and capable of delivering exceptional performance and seamless scalability. The complexity and limitations of conventional architectures often impede rapid deployment, struggle to support multiple users and expanding AI projects, and lack the necessary resilience and ease of management. This is the fundamental challenge facing organizations in the era of AI.

Why VAST + Cisco?

AI workloads can demand complexity from any infrastructure environment. Still, Cisco and VAST deliver simplicity, observability, and scalability in any situation, enabling organizations to flourish in a data-driven, AI-focused world.

Compute composability enables a best-of-breed approach to a scalable, high-performance, and zero-trust-based AI infrastructure utilizing Cisco’s Ebox running the VAST Data Platform.

Combining the VAST Data VMS and Cisco UCS management capabilities enables class-leading  insights into day-to-day data platform usability and operation.

Cisco EBox and the VAST Data platform offer a scalable solution that can grow with your business, ensuring management, visibility, and operational efficiency coupled with performance-optimized compute and storage.

Want to know more?

Speak to our dedicated Sales Team who can help connect you to VAST experts to tailor a solution.

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