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The case for a new operating system purpose-built for AI
AI workloads compute in ways that look nothing like the systems running enterprise applications over the past few decades. We're rapidly moving into a world of millions of GPUs -- deployed everywhere from cloud AI factories to edge devices -- participating in continuous loops of inference,
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Vast Data says it has built an operating system for large-scale agent deployment - SiliconANGLE
Vast Data says it has built an operating system for large-scale agent deployment Consolidating a series of recent enhancements around a single theme, Vast Data Inc. today launched what it calls an AI Operating System intended to support the coming age of "agentic computing," where trillions of
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VAST Data introduces an AI Operating System designed to support large-scale AI agent deployment, featuring a new architecture and tools for managing AI workloads across distributed environments.
VAST Data, a company at the forefront of AI infrastructure, has unveiled its AI Operating System, a platform designed to support the emerging era of "agentic computing"
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. This new operating system aims to address the unique challenges posed by AI workloads, which differ significantly from traditional enterprise applications2
.Traditional infrastructure, built on a "shared-nothing" model, has proven inadequate for AI environments that require millions of processors to access shared data concurrently. VAST Data recognized this challenge early and developed an alternative approach: a disaggregated, global data platform specifically designed for AI
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.At the core of VAST's AI Operating System is the Disaggregated and Shared-Everything (DASE) architecture. This innovative approach separates compute from storage while making all data globally accessible at high speed. The DASE architecture enables CPUs and GPUs to read and write data directly without coordination delays, eliminating partitions and dependency chains that can slow down large-scale systems
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Source: SiliconANGLE
VAST's AI Operating System incorporates several key components:
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.VAST Data is committed to open standards, supporting the Model Context Protocol introduced by Anthropic for agent and tool interoperability. The company also plans to support Google's Agent2Agent protocol
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. To accelerate adoption, VAST will provide pre-built, open-source agents, including general-purpose assistants and domain-specific tools1
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The VAST AI Operating System is designed to handle massive scale, supporting more than 1 million GPUs globally
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. This scalability is crucial for the future of AI, where trillions of AI-equipped agents are expected to operate across a global network1
.VAST Data's approach is already gaining traction in various industries. Jeff Denworth, co-founder of VAST Data, noted that some of the world's largest investment banks are looking to achieve a 4x employee efficiency boost by using agents to augment their workforce
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.As AI adoption accelerates, enterprises face a choice between retrofitting legacy systems or adopting new infrastructure built specifically for agent-based, real-time AI computing at massive scale. VAST Data's AI Operating System is positioning itself as the new standard for AI infrastructure, potentially defining the AI era much like Linux and Windows did for their respective eras
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.To facilitate adoption, VAST Data will be conducting training workshops worldwide, both in-person and virtually
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. With its recent valuation exceeding $9 billion and surpassing $2 billion in total software sales, VAST Data is well-positioned to lead the transition to this new paradigm in AI infrastructure1
.Summarized by
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