Exxact Corporation announced a new partnership with VDURA to deliver storage that finally keeps pace with modern GPU-accelerated compute.
For engineers, researchers, and AI teams, slow or inconsistent storage is often the hidden cause of stalled progress and underutilized GPUs. Exxact and VDURA are working together to eliminate those bottlenecks by delivering a seamless user experience where data flows continuously, workloads stay fully accelerated, and time-to-results are dramatically reduced.
Faster, Smoother Workflows
With a flash-first architecture and parallel data handling, the solution ensures that simulations, training jobs, and data pipelines run without interruption. Teams get more done in less time, without re-running jobs, waiting on I/O, or overprovisioning compute to compensate for slow storage.
Scales With Your Data
As data grows, performance remains consistent. Organizations can expand to multi-petabyte environments without redesigning infrastructure or experiencing slowdowns, making it an ideal long-term platform for evolving AI and HPC requirements.
Reliable, On-Premises or Hybrid
From air-gapped research labs to hybrid enterprise environments, the solution offers deployment flexibility while maintaining performance, resilience, and data integrity.
Why It Works
VDURA brings a software-defined, shared-nothing storage platform built on decades of parallel filesystem expertise. Advanced metadata handling, erasure coding, and automated tiering ensure high throughput and reliability at scale. Integrated with Exxact’s GPU-optimized systems, customers gain an end-to-end infrastructure where compute and storage operate in perfect sync.
Who Benefits Most
AI/ML teams, engineering simulation groups, life sciences researchers, manufacturers, and any organization or government agency managing large or complex data pipelines will see immediate value.
“Customers want systems that simply work: fast, reliable, and scalable,” said Jason Chen, Vice President at Exxact. “Our partnership with VDURA brings the storage performance our GPU platforms demand, giving users a smoother, more productive experience across AI and HPC workloads.”
“AI and HPC users are pushing the limits of what’s possible, and storage can no longer be the bottleneck,” said Samantha Clarke, VP of Channel and Partnerships at VDURA. “Our focus is on coupling enterprise-class storage resilience with GPU and AI performance capabilities, ensuring organizations can meet the increasingly demanding requirements of today’s data-intensive environments.”.”
