Latest news with #VASTData
Forbes
7 days ago
- Business
- Forbes
VAST Data Challenges The Enterprise AI Factory
AI Factory Enterprise leaders face a mounting challenge: AI infrastructure is getting increasingly complex. As companies move large language models, RAG, and autonomous agents from pilot projects to production systems, they're discovering that AI workloads are architecturally fragmented. Teams must now coordinate multiple components, from storage systems, streaming pipelines, inference runtimes, vector databases, and orchestration layers, to deploy a single AI-enabled workflow. This complexity is slowing deployments and driving up costs. VAST Data believes it has the solution: its recently announced unified "AI Operating System" that merges storage, data management, and agent orchestration into a single platform. The concept is compelling, but in a market increasingly favoring open, composable systems, VAST's tightly integrated approach raises critical questions. VAST, primarily known for high-performance storage solutions, is making an ambitious move up the technology stack. The company's AI Operating System combines storage, real-time data processing, a vector-enabled database, and a native agent orchestration engine into one integrated platform. The value proposition is straightforward: consolidate AI infrastructure into a single control layer that works across cloud, edge, and on-premises environments. This approach promises to reduce deployment complexity, eliminate integration headaches, and minimize latency in AI operations. The platform features a runtime for deploying AI agents, low-code interfaces for building agent pipelines, and a federated data layer that orchestrates compute tasks based on data location and GPU availability. For enterprises struggling with AI infrastructure sprawl, this could significantly reduce time-to-deployment and operational overhead. The AI infrastructure market is increasingly defined by openness and interoperability. Most enterprise teams are building on flexible frameworks. Using modular tools enables the mixing and matching of components, such as retrievers, vector databases, embedding models, and agent frameworks, based on specific requirements and existing infrastructure investments. This approach makes sense in an environment evolving as rapidly as enterprise AI. VAST takes a different approach, assuming enterprises will consolidate these elements under a single vendor. This assumption carries risk. Flexibility, not uniformity, has characterized the AI tooling landscape in recent years. While VAST supports common data standards like S3, Kafka, and SQL, its deeper integration points, particularly around agent orchestration, remain proprietary. VAST's strategy appears closely tied to Nvidia's ecosystem. In its announcement, the company highlights its infrastructure deployments in GPU-rich environments, such as CoreWeave and major hyperscalers. Its support for VLLM (a high-performance inference engine optimized for NVIDIA hardware) and emphasis on GPUDirect-style optimizations suggest significant dependency on NVIDIA's architecture. This isn't necessarily problematic. After all, Nvidia dominates enterprise AI infrastructure. However, it may limit VAST's relevance for organizations exploring alternative accelerators, such as AMD Instinct, Intel Gaudi, or AWS Trainium. It also creates potential overlap with Nvidia's offerings. With Nvidia launching Enterprise AI, NIMs, and Dynamo the chip giant is essentially delivering its own AI operating system, enabling a broad partner ecosystem to deliver similar capabilities. Some buyers may prefer pairing Nvidia's software stack with curated best-of-breed infrastructure tools. While VAST appears to be tied to Nvidia's AI approach today, that may not always be the case. When asked about how tied to the Nvidia ecosystem it is, VAST responded through an unnamed spokesman that the company has "always emphasized that our software stack supports industry standards and aligns with our customers' needs. This means we intend to qualify hardware from various vendors, including Nvidia, AMD, and others, to meet whatever our customers require.' VAST is attempting to leapfrog traditional competitors by addressing AI infrastructure holistically. But this also puts it in direct competition with vendors that have stronger application-layer ecosystems and more focused storage plays. It's hard to find a direct competitor to what VAST announced, as VAST is competing against more modular approaches. Much of the momentum in the enterprise AI infrastructure, for example, is based on blending best-of-breed capabilities into what Nvidia calls an "AI factory." Most of the tier-one OEMs are following Nvidia's lead, with Dell Technologies recently announcing its AI Factory 2.0. This enables enterprises to deploy a proven hardware infrastructure while maintaining the flexibility to utilize the best data management tools for their target workload. Building on the AI factory, cutting-edge infrastructure companies like WEKA are layering impressive AI-targeted features, such as its recently announced Augmented Memory Grid. This capability provides a seamless extension of the per-GPU context window in an LLM by leveraging its data infrastructure as an extension of the GPU's key-value cache. On the other end of the spectrum, companies like IBM are pushing the boundaries of enterprise-safe agentic AI with tools like its watsonx Orchestrate tool, announced at its recent IBM Think customer conference. IBM's approach supports an agentic framework that's open, supporting Nvidia and the more open llamastack frameworks, while easily integrating into nealry any enterprise AI envrionment.. There are numerous other examples in this rapidly evolving space. VAST positioning its new AI OS as "the OS for the thinking machine" is undeniably ambitious. The platform addresses a real market need: reducing vendor complexity and eliminating integration challenges in AI infrastructure. For organizations operating at massive GPU scales with stringent control requirements, such as in specialty GPU cloud providers where VAST has achieved early success, this approach will prove valuable. VAST's AI Operating System reflects the growing recognition that AI infrastructure requires fundamental architectural changes. The company is making a credible effort to build that foundation from the ground up. For organizations seeking unified control over AI data pipelines at enterprise scale, it may represent a compelling solution. But for the broader market, particularly those prioritizing open frameworks, multi-vendor flexibility, or modular innovation, VAST's approach may feel overly restrictive. The platform will require rapid evolution to accommodate external agent frameworks, emerging standards such as MCP, and integration paths that enable enterprises to maintain their existing orchestration investments. VAST says that they will follow the market. If VAST can open its ecosystem while preserving architectural cohesion, it could define a new category of enterprise AI infrastructure. But success is far from guaranteed. Current market dynamics favor flexibility over consolidation, but this trend is likely to shift over time. While enterprises may be cautious in adopting VAST's new solution, the company is placing a strong long-term bet. Many customers today will find value in what VAST is delivering with its AI OS, a list that will only grow over time. Nearly every technology transition leads to consolidation, with AI likely following the same path. VAST arrived early, claiming the first-mover advantage. It's a strong play for an ambitious company, one worth watching play out. Disclosure: Steve McDowell is an industry analyst, and NAND Research is an industry analyst firm, that engages in, or has engaged in, research, analysis and advisory services with many technology companies, including VAST Data, Dell Technologies, IBM, WEKA. Mr. McDowell does not hold any equity positions with any company mentioned.
Web Release
24-05-2025
- Business
- Web Release
VAST Data Unveils the Operating System for the Thinking Machine
VAST Data, today announced the result of nearly a decade of relentless innovation with the unveiling of the VAST AI Operating System, a revolutionary platform purpose-built to fuel the next wave of AI breakthroughs. Since the beginning of computing, every major technological revolution has been defined by the emergence of a new operating system. From the PC, to mobile, to the cloud – a unified software layer has abstracted complexity, democratized the use of new hardware, and reshaped how the world computes, communicates and innovates. Now, as AI redefines the fabric of business and society, the industry again finds itself at the dawn of a new computing paradigm – one where trillions of intelligent agents will reason, communicate, and act across a global grid of millions of GPUs that are woven across edge deployments, AI factories and cloud data centers. To make this world accessible, programmable, and operational at extreme scale, a new generation of intelligent systems requires a new software foundation. This is the moment VAST Data was built for. The launch of the VAST AI Operating System comes as the company has reached a historic milestone: the fastest path to $2 billion in cumulative bookings of any data company in history. With nearly 5x year-over-year growth in the first quarter of this year compared to last, and a cashflow-positive business model, VAST's hypergrowth reflects the market's demand for an operating system purpose-built to operationalize AI at unprecedented scale. The VAST AI Operating System is the product of nearly ten years of engineering toward a single purpose: to create an intelligent platform architecture that can harness this new generation of AI supercomputing machinery and unlock the potential of AI at scale. Developed from a clean sheet of paper, the platform is built on VAST's groundbreaking Disaggregated Shared-Everything (DASE) architecture, the world's first true parallel distributed system architecture – making it possible to completely parallelize AI and analytics workloads, federate clusters into a unified computing and data cloud and then feed new AI workloads with near-infinite amounts of data from one fast and affordable tier of storage. Today, DASE clusters support over 1 million GPUs around the world in many of the world's most data intensive computing centers. The scope of the AI OS is broad and will consolidate disparate legacy IT technologies into one simple and modern offering designed to democratize AI computing. What VAST was inventing from the start was conceived not as a collection of features, but as an entirely new computing substrate — one that unifies data, compute, messaging, and reasoning. A system built to capture data from the natural world at extreme scale, enrich it with AI-driven context in real time, and drive agentic workflows. Today, that invention takes shape as the VAST AI Operating System…a continuation of VAST's pursuit toward building a Thinking Machine. 'This isn't a product release — it's a milestone in the evolution of computing,' said Renen Hallak, Founder & CEO of VAST Data. 'We've spent the past decade reimagining how data and intelligence converge. Today, we're proud to unveil the AI Operating System for a world that is no longer built around applications — but around agents.' The AI Operating System consists of every aspect of a distributed system to run AI at global scale: a kernel to run platform services on from private to public cloud, a runtime to deploy AI agents with, eventing infrastructure for real-time event processing, messaging infrastructure, and a distributed file and database storage system that can be used for real-time data capture and analytics. Introducing the VAST AgentEngine This year, AI models and agents now come to life within the VAST AI Operating System. In 2024, VAST previewed the VAST InsightEngine – a service that extracts context from unstructured data using AI embedding tools. If the VAST InsightEngine prepares data for AI using AI, VAST AgentEngine is how AI now comes to life with data – an auto-scaling AI agent deployment runtime that equips users with a low-code environment to build intelligent workflows, select reasoning models, define agent tools, and operationalize reasoning. The AgentEngine features a new AI agent tool server that provides support for agents to invoke data, metadata, functions, web search or other agents using them as MCP-compatible tools. AgentEngine allows agents to assume multiple personas with different purpose and security credentials, and provides secure, real-time access to different tools. The platform's scheduler and fault-tolerant queuing mechanisms also ensure agent resilience against machine or service failure. Finally, AgentEngine introduces massively-scalable agentic workflow observability – with VAST's approach to parallel, distributed tracing – the VAST AI OS makes it simple for developers to enjoy a unified and simple view into massively-scaled and complex agentic pipelines. Just as operating systems ship with pre-built utilities, the VAST AgentEngine will feature a set of open-source Agents that VAST will release, one per month, to help accelerate the journey to AI computing. Some personal assistants will be tailored to industry use cases, whereas others will be designed for general purpose use. Examples include: ? A reasoning chatbot, powered by all of an organization's VAST data ? A data engineering agent to curate data automatically ? A prompt engineer to help optimize AI workflow inputs ? An agent agent, to automate the deployment, evaluation and improvement of agents ? A compliance agent, to enforce data and activity level regulatory compliance ? An editor agent, to create rich media content ? A life sciences researcher, to assist with bioinformatic discovery In the spirit of enabling organizations to build and build fast on the VAST AI Operating System, VAST Data will be hosting VAST Forward, a series of global workshops, both in-person and online, throughout the year. These workshops will include training on components of the Operating System and sessions on how to develop on the platform. Additional Resources: ? VIDEO: Introducing the VAST AI Operating System with Renen Hallak ? VIDEO: Inside the VAST AI OS with Jeff Denworth ? DEMO: The VAST AI OS Demo & Walkthrough with Andy Pernsteiner ? BLOG: The Grand Unification Theory of AI Infrastructure: Part II, by Jeff Denworth ? BLOG: Introducing AgentEngine, by Aaron Chaisson ? EVENTS: Register to join us on the VAST Forward Global World Tour
Mid East Info
23-05-2025
- Business
- Mid East Info
VAST Data Unveils the Operating System for the Thinking Machine - Middle East Business News and Information
Organizations can now easily deploy, operate and observe agentic pipelines; leverage pre-built agents provided by VAST Data; connect, collaborate and learn to program workflows at global events Dubai, United Arab Emirates – May, 2025 – VAST Data, today announced the result of nearly a decade of relentless innovation with the unveiling of the VAST AI Operating System, a revolutionary platform purpose-built to fuel the next wave of AI breakthroughs. Since the beginning of computing, every major technological revolution has been defined by the emergence of a new operating system. From the PC, to mobile, to the cloud – a unified software layer has abstracted complexity, democratized the use of new hardware, and reshaped how the world computes, communicates and innovates. Now, as AI redefines the fabric of business and society, the industry again finds itself at the dawn of a new computing paradigm – one where trillions of intelligent agents will reason, communicate, and act across a global grid of millions of GPUs that are woven across edge deployments, AI factories and cloud data centers. To make this world accessible, programmable, and operational at extreme scale, a new generation of intelligent systems requires a new software foundation. This is the moment VAST Data was built for. The launch of the VAST AI Operating System comes as the company has reached a historic milestone: the fastest path to $2 billion in cumulative bookings of any data company in history. With nearly 5x year-over-year growth in the first quarter of this year compared to last, and a cashflow-positive business model, VAST's hypergrowth reflects the market's demand for an operating system purpose-built to operationalize AI at unprecedented scale. The VAST AI Operating System is the product of nearly ten years of engineering toward a single purpose: to create an intelligent platform architecture that can harness this new generation of AI supercomputing machinery and unlock the potential of AI at scale. Developed from a clean sheet of paper, the platform is built on VAST's groundbreaking Disaggregated Shared-Everything (DASE) architecture, the world's first true parallel distributed system architecture – making it possible to completely parallelize AI and analytics workloads, federate clusters into a unified computing and data cloud and then feed new AI workloads with near-infinite amounts of data from one fast and affordable tier of storage. Today, DASE clusters support over 1 million GPUs around the world in many of the world's most data intensive computing centers. The scope of the AI OS is broad and will consolidate disparate legacy IT technologies into one simple and modern offering designed to democratize AI computing. What VAST was inventing from the start was conceived not as a collection of features, but as an entirely new computing substrate — one that unifies data, compute, messaging, and reasoning. A system built to capture data from the natural world at extreme scale, enrich it with AI-driven context in real time, and drive agentic workflows. Today, that invention takes shape as the VAST AI Operating System…a continuation of VAST's pursuit toward building a Thinking Machine. 'This isn't a product release — it's a milestone in the evolution of computing,' said Renen Hallak, Founder & CEO of VAST Data. 'We've spent the past decade reimagining how data and intelligence converge. Today, we're proud to unveil the AI Operating System for a world that is no longer built around applications — but around agents.' The AI Operating System consists of every aspect of a distributed system to run AI at global scale: a kernel to run platform services on from private to public cloud, a runtime to deploy AI agents with, eventing infrastructure for real-time event processing, messaging infrastructure, and a distributed file and database storage system that can be used for real-time data capture and analytics. Introducing the VAST AgentEngine: This year, AI models and agents now come to life within the VAST AI Operating System. In 2024, VAST previewed the VAST InsightEngine – a service that extracts context from unstructured data using AI embedding tools. If the VAST InsightEngine prepares data for AI using AI, VAST AgentEngine is how AI now comes to life with data – an auto-scaling AI agent deployment runtime that equips users with a low-code environment to build intelligent workflows, select reasoning models, define agent tools, and operationalize reasoning. The AgentEngine features a new AI agent tool server that provides support for agents to invoke data, metadata, functions, web search or other agents using them as MCP-compatible tools. AgentEngine allows agents to assume multiple personas with different purpose and security credentials, and provides secure, real-time access to different tools. The platform's scheduler and fault-tolerant queuing mechanisms also ensure agent resilience against machine or service failure. Finally, AgentEngine introduces massively-scalable agentic workflow observability – with VAST's approach to parallel, distributed tracing – the VAST AI OS makes it simple for developers to enjoy a unified and simple view into massively-scaled and complex agentic pipelines. Just as operating systems ship with pre-built utilities, the VAST AgentEngine will feature a set of open-source Agents that VAST will release, one per month, to help accelerate the journey to AI computing. Some personal assistants will be tailored to industry use cases, whereas others will be designed for general purpose use. Examples include: A reasoning chatbot, powered by all of an organization's VAST data A data engineering agent to curate data automatically A prompt engineer to help optimize AI workflow inputs An agent agent, to automate the deployment, evaluation and improvement of agents A compliance agent, to enforce data and activity level regulatory compliance An editor agent, to create rich media content A life sciences researcher, to assist with bioinformatic discovery In the spirit of enabling organizations to build and build fast on the VAST AI Operating System, VAST Data will be hosting VAST Forward , a series of global workshops, both in-person and online, throughout the year. These workshops will include training on components of the Operating System and sessions on how to develop on the platform. About VAST Data: VAST Data is the AI Operating System company – powering the next generation of intelligent systems with a unified software infrastructure stack that was purpose-built to unlock the full potential of AI. The VAST AI OS consolidates foundational data and compute services and agentic execution into one scalable platform, enabling organizations to deploy and facilitate communication between AI agents, reason over real-time data, and automate complex workflows at global scale. Built on VAST's breakthrough DASE architecture – the world's first true parallel distributed system architecture that eliminates tradeoffs between performance, scale, simplicity, and resilience – VAST has transformed its modern infrastructure into a global fabric for reasoning AI.
Channel Post MEA
22-05-2025
- Business
- Channel Post MEA
VAST Data Unveils AI Operating System
VAST Data has announced the result of nearly a decade of relentless innovation with the unveiling of the VAST AI Operating System, a revolutionary platform purpose-built to fuel the next wave of AI breakthroughs. Since the beginning of computing, every major technological revolution has been defined by the emergence of a new operating system. From the PC, to mobile, to the cloud – a unified software layer has abstracted complexity, democratized the use of new hardware, and reshaped how the world computes, communicates and innovates. Now, as AI redefines the fabric of business and society, the industry again finds itself at the dawn of a new computing paradigm – one where trillions of intelligent agents will reason, communicate, and act across a global grid of millions of GPUs that are woven across edge deployments, AI factories and cloud data centers. To make this world accessible, programmable, and operational at extreme scale, a new generation of intelligent systems requires a new software foundation. This is the moment VAST Data was built for. The launch of the VAST AI Operating System comes as the company has reached a historic milestone: the fastest path to $2 billion in cumulative bookings of any data company in history. With nearly 5x year-over-year growth in the first quarter of this year compared to last, and a cashflow-positive business model, VAST's hypergrowth reflects the market's demand for an operating system purpose-built to operationalize AI at unprecedented scale. The VAST AI Operating System is the product of nearly ten years of engineering toward a single purpose: to create an intelligent platform architecture that can harness this new generation of AI supercomputing machinery and unlock the potential of AI at scale. Developed from a clean sheet of paper, the platform is built on VAST's groundbreaking Disaggregated Shared-Everything (DASE) architecture, the world's first true parallel distributed system architecture – making it possible to completely parallelize AI and analytics workloads, federate clusters into a unified computing and data cloud and then feed new AI workloads with near-infinite amounts of data from one fast and affordable tier of storage. Today, DASE clusters support over 1 million GPUs around the world in many of the world's most data intensive computing centers. The scope of the AI OS is broad and will consolidate disparate legacy IT technologies into one simple and modern offering designed to democratize AI computing. What VAST was inventing from the start was conceived not as a collection of features, but as an entirely new computing substrate — one that unifies data, compute, messaging, and reasoning. A system built to capture data from the natural world at extreme scale, enrich it with AI-driven context in real time, and drive agentic workflows. Today, that invention takes shape as the VAST AI Operating System…a continuation of VAST's pursuit toward building a Thinking Machine. 'This isn't a product release — it's a milestone in the evolution of computing,' said Renen Hallak, Founder & CEO of VAST Data. 'We've spent the past decade reimagining how data and intelligence converge. Today, we're proud to unveil the AI Operating System for a world that is no longer built around applications — but around agents.' The AI Operating System consists of every aspect of a distributed system to run AI at global scale: a kernel to run platform services on from private to public cloud, a runtime to deploy AI agents with, eventing infrastructure for real-time event processing, messaging infrastructure, and a distributed file and database storage system that can be used for real-time data capture and analytics. Introducing the VAST AgentEngine This year, AI models and agents now come to life within the VAST AI Operating System. In 2024, VAST previewed the VAST InsightEngine – a service that extracts context from unstructured data using AI embedding tools. If the VAST InsightEngine prepares data for AI using AI, VAST AgentEngine is how AI now comes to life with data – an auto-scaling AI agent deployment runtime that equips users with a low-code environment to build intelligent workflows, select reasoning models, define agent tools, and operationalize reasoning. The AgentEngine features a new AI agent tool server that provides support for agents to invoke data, metadata, functions, web search or other agents using them as MCP-compatible tools. AgentEngine allows agents to assume multiple personas with different purpose and security credentials, and provides secure, real-time access to different tools. The platform's scheduler and fault-tolerant queuing mechanisms also ensure agent resilience against machine or service failure. Finally, AgentEngine introduces massively-scalable agentic workflow observability – with VAST's approach to parallel, distributed tracing – the VAST AI OS makes it simple for developers to enjoy a unified and simple view into massively-scaled and complex agentic pipelines. Just as operating systems ship with pre-built utilities, the VAST AgentEngine will feature a set of open-source Agents that VAST will release, one per month, to help accelerate the journey to AI computing. Some personal assistants will be tailored to industry use cases, whereas others will be designed for general purpose use. Examples include: A reasoning chatbot, powered by all of an organization's VAST data A data engineering agent to curate data automatically A prompt engineer to help optimize AI workflow inputs An agent agent, to automate the deployment, evaluation and improvement of agents A compliance agent, to enforce data and activity level regulatory compliance An editor agent, to create rich media content A life sciences researcher, to assist with bioinformatic discovery In the spirit of enabling organizations to build and build fast on the VAST AI Operating System, VAST Data will be hosting VAST Forward, a series of global workshops, both in-person and online, throughout the year. These workshops will include training on components of the Operating System and sessions on how to develop on the platform. 0 0
Zawya
22-05-2025
- Business
- Zawya
VAST Data unveils the operating system for the thinking machine
Dubai, United Arab Emirates – VAST Data, today announced the result of nearly a decade of relentless innovation with the unveiling of the VAST AI Operating System, a revolutionary platform purpose-built to fuel the next wave of AI breakthroughs. Since the beginning of computing, every major technological revolution has been defined by the emergence of a new operating system. From the PC, to mobile, to the cloud – a unified software layer has abstracted complexity, democratized the use of new hardware, and reshaped how the world computes, communicates and innovates. Now, as AI redefines the fabric of business and society, the industry again finds itself at the dawn of a new computing paradigm – one where trillions of intelligent agents will reason, communicate, and act across a global grid of millions of GPUs that are woven across edge deployments, AI factories and cloud data centers. To make this world accessible, programmable, and operational at extreme scale, a new generation of intelligent systems requires a new software foundation. This is the moment VAST Data was built for. The launch of the VAST AI Operating System comes as the company has reached a historic milestone: the fastest path to $2 billion in cumulative bookings of any data company in history. With nearly 5x year-over-year growth in the first quarter of this year compared to last, and a cashflow-positive business model, VAST's hypergrowth reflects the market's demand for an operating system purpose-built to operationalize AI at unprecedented scale. The VAST AI Operating System is the product of nearly ten years of engineering toward a single purpose: to create an intelligent platform architecture that can harness this new generation of AI supercomputing machinery and unlock the potential of AI at scale. Developed from a clean sheet of paper, the platform is built on VAST's groundbreaking Disaggregated Shared-Everything (DASE) architecture, the world's first true parallel distributed system architecture – making it possible to completely parallelize AI and analytics workloads, federate clusters into a unified computing and data cloud and then feed new AI workloads with near-infinite amounts of data from one fast and affordable tier of storage. Today, DASE clusters support over 1 million GPUs around the world in many of the world's most data intensive computing centers. The scope of the AI OS is broad and will consolidate disparate legacy IT technologies into one simple and modern offering designed to democratize AI computing. What VAST was inventing from the start was conceived not as a collection of features, but as an entirely new computing substrate — one that unifies data, compute, messaging, and reasoning. A system built to capture data from the natural world at extreme scale, enrich it with AI-driven context in real time, and drive agentic workflows. Today, that invention takes shape as the VAST AI Operating System…a continuation of VAST's pursuit toward building a Thinking Machine. 'This isn't a product release — it's a milestone in the evolution of computing,' said Renen Hallak, Founder & CEO of VAST Data. 'We've spent the past decade reimagining how data and intelligence converge. Today, we're proud to unveil the AI Operating System for a world that is no longer built around applications — but around agents.' The AI Operating System consists of every aspect of a distributed system to run AI at global scale: a kernel to run platform services on from private to public cloud, a runtime to deploy AI agents with, eventing infrastructure for real-time event processing, messaging infrastructure, and a distributed file and database storage system that can be used for real-time data capture and analytics. Introducing the VAST AgentEngine This year, AI models and agents now come to life within the VAST AI Operating System. In 2024, VAST previewed the VAST InsightEngine – a service that extracts context from unstructured data using AI embedding tools. If the VAST InsightEngine prepares data for AI using AI, VAST AgentEngine is how AI now comes to life with data – an auto-scaling AI agent deployment runtime that equips users with a low-code environment to build intelligent workflows, select reasoning models, define agent tools, and operationalize reasoning. The AgentEngine features a new AI agent tool server that provides support for agents to invoke data, metadata, functions, web search or other agents using them as MCP-compatible tools. AgentEngine allows agents to assume multiple personas with different purpose and security credentials, and provides secure, real-time access to different tools. The platform's scheduler and fault-tolerant queuing mechanisms also ensure agent resilience against machine or service failure. Finally, AgentEngine introduces massively-scalable agentic workflow observability – with VAST's approach to parallel, distributed tracing – the VAST AI OS makes it simple for developers to enjoy a unified and simple view into massively-scaled and complex agentic pipelines. Just as operating systems ship with pre-built utilities, the VAST AgentEngine will feature a set of open-source Agents that VAST will release, one per month, to help accelerate the journey to AI computing. Some personal assistants will be tailored to industry use cases, whereas others will be designed for general purpose use. Examples include: A reasoning chatbot, powered by all of an organization's VAST data A data engineering agent to curate data automatically A prompt engineer to help optimize AI workflow inputs An agent agent, to automate the deployment, evaluation and improvement of agents A compliance agent, to enforce data and activity level regulatory compliance An editor agent, to create rich media content A life sciences researcher, to assist with bioinformatic discovery In the spirit of enabling organizations to build and build fast on the VAST AI Operating System, VAST Data will be hosting VAST Forward, a series of global workshops, both in-person and online, throughout the year. These workshops will include training on components of the Operating System and sessions on how to develop on the platform. Additional Resources: VIDEO: Introducing the VAST AI Operating System with Renen Hallak VIDEO: Inside the VAST AI OS with Jeff Denworth DEMO: The VAST AI OS Demo & Walkthrough with Andy Pernsteiner BLOG: The Grand Unification Theory of AI Infrastructure: Part II, by Jeff Denworth BLOG: Introducing AgentEngine, by Aaron Chaisson EVENTS: Register to join us on the VAST Forward Global World Tour About VAST Data VAST Data is the AI Operating System company – powering the next generation of intelligent systems with a unified software infrastructure stack that was purpose-built to unlock the full potential of AI. The VAST AI OS consolidates foundational data and compute services and agentic execution into one scalable platform, enabling organizations to deploy and facilitate communication between AI agents, reason over real-time data, and automate complex workflows at global scale. Built on VAST's breakthrough DASE architecture – the world's first true parallel distributed system architecture that eliminates tradeoffs between performance, scale, simplicity, and resilience – VAST has transformed its modern infrastructure into a global fabric for reasoning AI. Learn more at and follow VAST Data on LinkedIn, YouTube and X.
