Enterprises want to run AI where it performs best, but data is often a challenge. That is becasue most of the times, data is siloed, spread across data centers and cloud regions, each with its own rules and limits. Moving it takes months, costs a fortune, and often breaks compliance workflows in the process.
VAST Data has expanded its partnership with Google Cloud to tackle this challenge head-on and give enterprises a single, global data foundation to run AI anywhere - without getting tangled in migration and management.
One Global Namespace for AI Anywhere
The VAST AI Operating System (AI OS) is now available as a fully managed service on Google Cloud, connecting on-premises and cloud clusters under a single namespace. It’s powered by VAST DataSpace, which links clusters across continents, allowing teams to access and process the same datasets in real-time, without copying or moving data. For enterprises training or deploying models across different regions, that means less waiting and more doing.
Aaron Chaisson, vice president of product and solutions marketing at VAST Data, broke it down simply to ChannelE2E: “Moving large datasets is one part bandwidth and nine parts copy management, permissions drift, backup jobs, audit gaps, tool sprawl, etc. With VAST AI OS, it’s one system across sites: one namespace, one permission structure, one audit trail, one point of control, one source of truth.”
That unified control helps AI teams stay focused on compute performance instead of logistics. “Intelligent streaming removes staging and duplicate copies, so GPUs get immediate data visibility and teams stop paying to manage copies instead of running AI,” Chaisson said. In other words, it lets engineers spend less time managing data movement and more time training and tuning models.
Making Hybrid AI Easier for Enterprises and Partners
For many organizations, the hardest part of hybrid AI isn’t the compute - it’s the chaos that comes with managing multiple environments. VAST’s managed service on Google Cloud aims to take that off the table. “With VAST AI OS on Google Cloud, teams that want standardized, repeatable operations are likely to benefit most, especially those running hybrid or bursty AI,” Chaisson said. “When running a hybrid environment, as variations increase, complexity increases. This Google Cloud Marketplace offering delivers a VAST-managed service with elastic scale across cloud and on-prem, integrated billing, governance, patches, and upgrades to eliminate complex migrations and make data available wherever AI runs.”
That consistency matters just as much for partners and managed service providers building AI infrastructure for clients. They often face the same operational constraints - too many copies, too many compliance checks, and not enough standardization.
Chaisson pointed out that this integration directly supports those use cases: “Those who are helping businesses scale AI infrastructure already know the constraints. They need to find available AI accelerators, and often specialized accelerators like TPUs that excel at certain workloads. But that problem of getting the right data to the right compute can quickly become burdened with data copies, governance, security, and compliance. VAST AI OS, with one data plane across clouds and data centers and QoS to enable secure multi-tenant services, can flatten the curve to scale AI without scaling the overhead.”
Beyond simplifying operations, the system delivers measurable performance gains. In recent tests, the VAST AI OS connected directly to Google Cloud TPU virtual machines and achieved model load speeds comparable to local NVMe disks, even during cold starts. That kind of consistency helps organizations in fields like genomics, finance, and structural biology keep expensive accelerators fully utilized and pipelines continuously active.
VAST Data and Google Cloud’s partnership reflects a broader shift toward data infrastructure that adapts to AI, not the other way around. By merging intelligent data streaming with managed operations and elastic scalability, the companies are giving enterprises and partners a practical path to run AI anywhere, without the usual cost and complexity of moving data to get there.
