PanFS
PanFS is the parallel file system foundation carried forward in VDURA Data Platform, a software-defined storage platform for AI and high-performance computing.
What PanFS is
PanFS is the parallel file system foundation carried forward in VDURA Data Platform, a software-defined storage platform for AI and high-performance computing. It brings parallel file system performance together with object storage resilience and cost efficiency. VDURA describes use for high-throughput AI training, low-latency inference, and persistent key-value cache and session context. The platform is described as scaling linearly to thousands of nodes and supporting tens of thousands of clients, with performance up to 2.7 TB/s per rack. Context-Aware Tiering shifts data among NVMe, SSD, and object tiers based on access patterns. Interfaces include REST, Kubernetes CSI, CLI, and S3-compatible object storage; file protocols include DirectFlow, NFSv3, SMB/CIFS v3.1, and S3. Resilience uses MLEC and client erasure coding, while the company claims up to 12 nines of durability. VDURA states AES-256 encryption covers data at rest and in flight. Deployment is hybrid, and pricing is available on request.
Good
- Supports REST, Kubernetes CSI, CLI, and S3 interfaces
- Tiering spans NVMe, SSD, and object storage
- Supports per-tenant quality of service and access policies
- Open hardware lets customers choose vendors
- Advertises 24/7/365 global technical support
Watch out
- Pricing is available only on request
- Performance and durability figures are VDURA claims
Who it suits
It is intended for Neoclouds, AI factories, enterprises, and HPC environments that need storage for AI or high-performance computing workloads. The per-tenant controls may suit organizations managing multiple tenants.
Verdict
PanFS underpins a storage platform designed around demanding AI and HPC workloads, with tiering, multiple interfaces, and tenant controls. Pricing requires contacting sales, and buyers will need to evaluate the platform against their hardware and deployment needs.
Plans and prices
From PanFS's own pricing page, checked 7 Oct 2026.
| Plan | Price | What it gives you |
|---|---|---|
| VDURA Data Platform | Priced on request | AI and HPC storage platform · pricing not stated on the opened pages |
The facts
Each one read from PanFS's own pages, with the date it was checked.
What it does
- Architecture
- The platform combines parallel file system performance with object storage resilience and cost efficiency in a unified system.checked 7 Oct 2026
- Encryption
- VDURA states that AES-256 encryption protects data at rest and in flight across every tenant data path.checked 7 Oct 2026
- Hardware
- VDURA describes its platform as open hardware, letting customers choose preferred hardware vendors.checked 7 Oct 2026
- Interfaces
- The platform provides REST, Kubernetes CSI, and CLI interfaces, plus an S3-compatible object storage interface.checked 7 Oct 2026
- Multi-tenancy
- The platform supports per-tenant quality of service, namespaces, and access policies.checked 7 Oct 2026
- Performance
- VDURA states performance of up to 2.7 TB/s per rack.checked 7 Oct 2026
- Pricing availability
- The opened maker pages direct visitors to contact sales and do not state a product price.checked 7 Oct 2026
- Product identity
- VDURA Data Platform carries forward the PanFS parallel file system foundation as software-defined storage for AI and HPC workloads.checked 7 Oct 2026
- Resilience
- The platform uses MLEC and client erasure coding, and VDURA claims up to 12 nines of durability.checked 7 Oct 2026
- Scalability
- The platform is described as scaling linearly to thousands of nodes and supporting tens of thousands of clients.checked 7 Oct 2026
- Support
- VDURA advertises global technical support available 24/7/365.checked 7 Oct 2026
- Target users
- The maker identifies Neoclouds, AI factories, enterprises, and HPC environments as intended users.checked 7 Oct 2026
- Tiering
- Context-Aware Tiering automatically moves data across NVMe, SSD, and object tiers according to access patterns.checked 7 Oct 2026
- Use cases
- The maker describes high-throughput storage for AI training, low-latency access for inference, and persistent KV cache and session context.checked 7 Oct 2026
The company
- Founded
- 2001checked 28 Sep 2026
- Headquarters
- VDURA lists its headquarters at 1501 Reedsdale St., Suite 1001, Pittsburgh, Pennsylvania 15233.checked 7 Oct 2026
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