The Dawn of AI Infrastructure: A New Era of Storage and Operating Systems
May 23, 2025, 11:24 am
Location: United States, New York
Employees: 201-500
Founded date: 2016
Total raised: $381M
The world of technology is shifting. Like a river carving a new path, artificial intelligence (AI) is reshaping the landscape of data storage and processing. At the forefront of this transformation are companies like AIC and VAST Data, which are pioneering solutions that meet the unique demands of AI workloads. As we delve into this new era, we see the emergence of advanced storage solutions and the need for a purpose-built operating system designed specifically for AI.
At COMPUTEX 2025, AIC showcased its latest AI storage solution, a collaboration with VAST Data and NVIDIA. This partnership is not just a marriage of hardware and software; it’s a symphony of innovation. AIC’s design supports configurations up to 2.7 petabytes in a single rack-unit server. Imagine the power of processing vast amounts of data in real-time, enabling businesses to harness AI’s full potential.
The heart of this solution is the VAST Data Platform. It acts as the brain, managing and unlocking the performance of AIC’s hardware. This platform is built on the NVIDIA AI Data Platform reference architecture, allowing customers to tap into the capabilities of NVIDIA’s accelerated compute and BlueField DPUs. The result? Real-time data access and scalable AI inferencing pipelines that can adapt to the exponential growth of data.
AIC’s commitment to innovation is evident. They are not just building hardware; they are crafting the future of AI infrastructure. The collaboration with VAST Data and NVIDIA ensures that enterprises can leverage robust and reliable solutions. This is not just about storage; it’s about creating a foundation for AI-driven businesses to thrive.
But what about the operating systems that power these AI workloads? Traditional systems are like old ships trying to navigate new waters. They were designed for a different era, one where data was structured and predictable. Today, AI workloads demand a new approach. They require systems that can ingest and process massive volumes of unstructured data—imagery, video, telemetry, and text—at an unprecedented scale.
The current infrastructure is often built on a “shared-nothing” model. This approach, while effective in the past, creates bottlenecks in AI environments. As systems grow, coordination overhead increases, slowing down performance. This is where VAST Data has stepped in, pioneering a disaggregated, global data platform tailored for AI.
Imagine a world where every processor can access every byte of data in parallel. This is the vision behind VAST’s DASE (Disaggregated and Shared-Everything) architecture. It separates compute from storage, allowing CPUs and GPUs to read and write data directly without delays. No partitions, no dependency chains—just seamless access to data. This architecture not only enhances performance but also improves resilience and cost efficiency.
VAST Data’s journey began with a high-performance storage platform, but it has evolved into something more ambitious: an AI operating system. Just as traditional operating systems managed CPUs and memory, the AI OS orchestrates data, compute, and AI agents across vast, distributed environments. It maintains governance, security, and real-time responsiveness, ensuring that organizations can build intelligent systems that operate at scale.
The VAST AI Operating System is not a distant dream; it is already taking shape. It provides a scalable, data-centric foundation that supports storage, compute, and AI runtime services. The VAST DataEngine allows for the deployment of distributed Python functions and microservices at scale. The InsightEngine transforms unstructured data into AI-ready context, while the AgentEngine manages AI agents in enterprise environments.
These components are not isolated; they are integrated into a unified platform designed for AI’s growth. This new standard for AI infrastructure is essential as organizations face a choice: retrofit legacy systems or embrace new infrastructure built for real-time AI computing.
As AI adoption accelerates, the need for a purpose-built operating system becomes clear. The VAST AI Operating System is setting the stage for intelligent, autonomous systems. It will serve as the foundational layer for model training, inference, and decision-making. Just as Linux and Windows defined their eras, AI needs a platform designed for high-scale operation.
In conclusion, the convergence of advanced storage solutions and purpose-built operating systems marks a pivotal moment in the evolution of AI infrastructure. Companies like AIC and VAST Data are leading the charge, creating a future where data is not just stored but transformed into actionable insights. As we navigate this new landscape, one thing is certain: the future of AI is bright, and it is built on a foundation of innovation and collaboration. The dawn of AI infrastructure is here, and it promises to change the way we interact with technology forever.
At COMPUTEX 2025, AIC showcased its latest AI storage solution, a collaboration with VAST Data and NVIDIA. This partnership is not just a marriage of hardware and software; it’s a symphony of innovation. AIC’s design supports configurations up to 2.7 petabytes in a single rack-unit server. Imagine the power of processing vast amounts of data in real-time, enabling businesses to harness AI’s full potential.
The heart of this solution is the VAST Data Platform. It acts as the brain, managing and unlocking the performance of AIC’s hardware. This platform is built on the NVIDIA AI Data Platform reference architecture, allowing customers to tap into the capabilities of NVIDIA’s accelerated compute and BlueField DPUs. The result? Real-time data access and scalable AI inferencing pipelines that can adapt to the exponential growth of data.
AIC’s commitment to innovation is evident. They are not just building hardware; they are crafting the future of AI infrastructure. The collaboration with VAST Data and NVIDIA ensures that enterprises can leverage robust and reliable solutions. This is not just about storage; it’s about creating a foundation for AI-driven businesses to thrive.
But what about the operating systems that power these AI workloads? Traditional systems are like old ships trying to navigate new waters. They were designed for a different era, one where data was structured and predictable. Today, AI workloads demand a new approach. They require systems that can ingest and process massive volumes of unstructured data—imagery, video, telemetry, and text—at an unprecedented scale.
The current infrastructure is often built on a “shared-nothing” model. This approach, while effective in the past, creates bottlenecks in AI environments. As systems grow, coordination overhead increases, slowing down performance. This is where VAST Data has stepped in, pioneering a disaggregated, global data platform tailored for AI.
Imagine a world where every processor can access every byte of data in parallel. This is the vision behind VAST’s DASE (Disaggregated and Shared-Everything) architecture. It separates compute from storage, allowing CPUs and GPUs to read and write data directly without delays. No partitions, no dependency chains—just seamless access to data. This architecture not only enhances performance but also improves resilience and cost efficiency.
VAST Data’s journey began with a high-performance storage platform, but it has evolved into something more ambitious: an AI operating system. Just as traditional operating systems managed CPUs and memory, the AI OS orchestrates data, compute, and AI agents across vast, distributed environments. It maintains governance, security, and real-time responsiveness, ensuring that organizations can build intelligent systems that operate at scale.
The VAST AI Operating System is not a distant dream; it is already taking shape. It provides a scalable, data-centric foundation that supports storage, compute, and AI runtime services. The VAST DataEngine allows for the deployment of distributed Python functions and microservices at scale. The InsightEngine transforms unstructured data into AI-ready context, while the AgentEngine manages AI agents in enterprise environments.
These components are not isolated; they are integrated into a unified platform designed for AI’s growth. This new standard for AI infrastructure is essential as organizations face a choice: retrofit legacy systems or embrace new infrastructure built for real-time AI computing.
As AI adoption accelerates, the need for a purpose-built operating system becomes clear. The VAST AI Operating System is setting the stage for intelligent, autonomous systems. It will serve as the foundational layer for model training, inference, and decision-making. Just as Linux and Windows defined their eras, AI needs a platform designed for high-scale operation.
In conclusion, the convergence of advanced storage solutions and purpose-built operating systems marks a pivotal moment in the evolution of AI infrastructure. Companies like AIC and VAST Data are leading the charge, creating a future where data is not just stored but transformed into actionable insights. As we navigate this new landscape, one thing is certain: the future of AI is bright, and it is built on a foundation of innovation and collaboration. The dawn of AI infrastructure is here, and it promises to change the way we interact with technology forever.