VDURA has announced the appointment of Garth Gibson as its first Chief Technology and AI Officer.
Gibson, recognised for co-inventing RAID and pioneering advances in parallel file systems, will lead the company's efforts to develop new storage technology tailored to artificial intelligence (AI) workloads.
With a career spanning four decades, Gibson has played a pivotal role in the evolution of data infrastructure. His work as a co-inventor of RAID (Redundant Array of Independent Disks) established benchmarks for storage reliability at scale. Additionally, his contributions to parallel file systems through his roles at Carnegie Mellon University's Parallel Data Lab and as a co-founder of Panasas have underpinned contemporary high-performance computing (HPC) and AI pipelines.
Most recently, Gibson served as President and Chief Executive Officer at the Vector Institute, where he contributed to the development of infrastructure to support generative AI. His experience includes providing guidance on large-scale AI facilities and research clusters.
For four decades I've advanced high performance data storage, co-inventing RAID, pioneering the parallel file system, and driving innovation in AI applications and infrastructure. Today at VDURA I see a once in a generation opportunity: to reinvent the storage stack for AI. We're solving challenges others haven't cracked, building a data platform that powers the full AI lifecycle that sets a new standard for performance, scale, and reliability.
Ken Claffey, Chief Executive Officer of VDURA, highlighted the importance of Gibson's role at the company as the industry faces mounting pressure from rapidly increasing AI demands.
Garth is a legend in storage and AI infrastructure, and his return to VDURA is a pivotal moment. Garth brings unmatched vision for how storage must evolve for the AI era, and with him leading our technology, we're building a platform that makes AI faster, more efficient, and massively scalable, setting the course for AI's future.
The appointment occurs at a time when AI workloads are growing rapidly, challenging traditional infrastructure. The process of training AI models demands high speed and throughput, while large-scale inferencing requires immediate data access. Gibson's leadership is expected to result in a platform designed to address these requirements, targeting improvements in performance, operational efficiency, and simplicity.
In his new role, Gibson will oversee efforts to create storage solutions that meet the evolving needs of AI and HPC, particularly as the scale and complexity of workloads increase. The aim is to ensure that VDURA's storage stack supports the entire AI lifecycle, from data collection and model training to deployment and inference, at levels of performance and reliability required by current and future applications.
Gibson's appointment also coincides with his participation in industry commemorations, including the 40th anniversary of the NFS network storage protocol, where he will reunite with original contributors to the technology. This event is scheduled to take place in Santa Clara, California, during the MSST Conference.
VDURA is pursuing the development of a storage platform that balances speed, capacity, and durability. The company aims to deliver a solution that enables organisations to handle the increasing scale of AI workloads and data demands without sacrificing performance or reliability.
