VDURA and Wasabi Technologies have announced a technology alliance to connect GPU-adjacent AI data infrastructure with predictably priced S3-compatible cloud storage. The collaboration aims to help AI factories, neoclouds, and enterprise HPC environments place active datasets close to GPUs while extending long-term retention, protection, and data reuse into the cloud.
VDURA and Wasabi partner to connect GPU-adjacent storage with predictable S3-compatible cloud storage.
The alliance enables active datasets to stay close to GPUs while moving inactive data to cost-effective cloud storage.
VDURA provides high-performance parallel file system storage with RDMA data paths and native S3 interface.
Wasabi offers predictable cloud storage with no per-GB egress or API request charges under standard terms.
Tiered data placement mimics large cloud operators' design pattern for lean performance with deep capacity.
The alliance will be showcased at Ai4 2026 in Las Vegas, August 4-6.
The alliance is anchored by a simple operating principle: keep AI data close when it is being used and move it freely when it is not. AI infrastructure teams routinely keep far more inactive data on performance infrastructure than they need to, because moving it has meant operational complexity, access delays, or unpredictable cloud costs. The result is performance capacity consumed by data that no longer requires it, and retained data that is harder to protect, govern, and reuse than it should be. The partnership brings a design pattern proven by large cloud operators to organizations building their own AI infrastructure, using two independent, specialized platforms connected through open interfaces.
VDURA's high-performance data storage serves the active phase of the AI data lifecycle: dataset staging, model loading, training, checkpointing, and inference. VDURA provides GPU-adjacent parallel file system storage performance with RDMA data paths and full POSIX workflows, spanning NVMe flash, HDD capacity, and a native S3 interface within a single global namespace. This infrastructure is engineered for velocity, keeping data close to GPUs while it is doing active work.
Wasabi extends the environment with S3-compatible cloud object storage serving as an active archive and long-term retention layer. Datasets, checkpoints, model versions, and derived artifacts that are no longer in active use move to Wasabi for protection, compliance, disaster recovery, and distribution to other sites or compute environments, remaining readily accessible for retraining, model comparison, and governance. Wasabi's predictable pricing, with no per-GB egress or API request charges under its standard terms, allows teams to plan retention and reuse costs in advance.
"The infrastructure that feeds GPUs is engineered for velocity, and data belongs there while it is doing active work. It should not live there permanently," said Ken Claffey, CEO of VDURA. "Our customers generate enormous volumes of checkpoints, dataset versions and model artifacts that hold real long-term value. Pairing VDURA's GPU-adjacent performance with Wasabi's open, predictable cloud layer gives them a place for that data to be retained, protected and reused, and makes data movement a native part of the AI data lifecycle."
"AI data does not lose its value when a training run ends. It becomes the raw material for the next model, the audit trail for governance and the baseline for comparison," said Laurie Mitchell, Senior Vice President, Global Marketing, Wasabi Technologies. "This alliance makes it straightforward to connect GPU-adjacent infrastructure with independent, S3-compatible cloud object storage, so organizations keep control of their data and their costs without locking either one into a hyperscaler."
About VDURA
VDURA builds the world's most powerful data platform for AI clouds, AI factories and high-performance computing. Powered by HYDRA, its software-defined, mixed-fleet architecture keeps GPU clusters saturated while delivering hyperscale-class durability and economics.
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