Vast Data and Nvidia are teaming up to integrate the Vast Data AI Operating System directly into Nvidia GPU-powered servers.

Dubbed the Vast CNode-X, the solution has been developed with Nvidia and will bring high-performance storage services to Nvidia GPU clusters, as well as make the OS directly available on the hardware. According to Vast, this will be optimized for AI pipelines, high-performance analytics, vector search, RAG systems, and agentic workloads.

The solution aims to reduce operational complexity and removes the need to stitch together separate storage, database, and AI infrastructure stacks.

The CNode-X servers will be available from Cisco, HPE, Supermicro, and other OEMs.

“Ten years ago, we set out to build a system that could continuously refine data into intelligence and action,” said Renen Hallak, founder & CEO of Vast Data. “That future is here. By accelerating both compute and the data path inside the Vast AI OS, we’re giving customers a faster, simpler way to operationalize retrieval, analytics, and agentic workflows as one coherent pipeline so AI can move from pilot to durable, production systems.”

“Nvidia is reinventing every pillar of computing for AI. With Vast Data, we’re transforming the storage of AI infrastructure,” said Jensen Huang, founder and CEO, Nvidia. “CNode-X is CUDA-accelerated at every layer to give AI agents persistent memory so they can work on complex problems over days or weeks, and eventually years, without forgetting — opening the world to the next frontier of AI.”

“Enterprises need a clear, reliable path to operationalizing AI at scale,” added Jeetu Patel, president and chief product officer, Cisco. “By working with Vast and Nvidia, we’re bringing a GPU-accelerated, end-to-end AI platform to market on proven Cisco infrastructure, helping customers move from experimentation to secure, always-on AI systems faster and with greater confidence.”

A recent piece of research from cloud storage firm Backblaze suggested that neocloud workloads are driving different network behaviour as compared to typical cloud and compute workloads.

According to Backblaze’s technical lead network engineer, Brent Nowak, “AI networking is less about many-to-many communication and more about sustained high-throughput relationships between specialized systems.” Thus, the report suggested that we can expect storage, compute, and networking to come into “closer alignment.”

Presenting Polaris

The expanded partnership between Vast Data and Nvidia has been announced alongside a partnership with cybersecurity vendor Crowdstrike, and the launch of Vast's new multi- and hybrid cloud offering dubbed Polaris, which aims to enable distributed AI infrastructure to act as one fleet.

Polaris allows users to provision, operate, and orchestrate distributed AI infrastructure across the public cloud, neocloud platforms, and on-premises data centers. It can be used for training and inference workloads.

Training, inference, and data collection are not always conducted within the same geography or platform, and Polaris enables this distributed infrastructure to act under a single operational platform.

The solution builds on the existing Vast offering known as DataSpace. Vast DataSpace enables Vast to connect clusters across significant distances – having previously demonstrated the capability as far as 10,000km (6,213 miles), linking one in the US with another in Japan. In addition, the US cluster was based on TPUs, and the Japan cluster on GPUs.

Google Cloud has partnered with Vast for access to DataSpace previously, enabling users to connect clusters on Google Cloud and on-premises.

According to Vast, DataSpace “unifies data across clusters through a global namespace and distributed fabric,” while Polaris “governs how those clusters are deployed and lifecycle-managed across cloud and hybrid environments.”

Organizations will be able, with Polaris, to move AI workloads from isolated deployments to “continuously operating systems,” and to align placement easily with GPU availability, cost, and compliance requirements.

Vast Data is best known for its AI Operating System, which it describes as a platform that manages storage, database, and compute runtime, removing the need to “stitch together dozens of tools.” Several major neoclouds are known adopters of the platform, including but not limited to CoreWeave, Nscale, Buzz HPC, Fluidstack, GMI Cloud, Akamai Technologies, and Crusoe.

In 2025, the company was reportedly seeking funding at a $30bn valuation.