DDN vs Hitachi Vantara: Enterprise Storage in India
DDN vs Hitachi Vantara for Indian enterprise storage architects
DDN builds parallel storage that keeps GPU clusters fed. Hitachi Vantara runs the general-purpose array behind the rest of the business. Most enterprises end up needing both.
DDN vs Hitachi Vantara at a glance
Both brands in one view. Where each one wins, and where the ASP network changes the answer.
DDN
- Specialty
- Parallel storage for AI training and HPC clusters
- Architecture
- Scale-out NVMe appliances running the EXAScaler filesystem
- Best for
- GPU-dense clusters, DGX and HGX deployments, large-scale research computing
- Support
- Standard, Basic and Premium tiers, Premium targets 1-hour Severity 1 response
- Trade-off
- Built for parallel AI and HPC IO, not a general-purpose enterprise array
Hitachi Vantara
- Heritage
- Part of Hitachi, Ltd., decades in enterprise storage arrays
- Architecture
- Dedicated storage array, kept separate from compute
- Best for
- Centralised block, file, object and mainframe-adjacent storage
- Hardware warranty
- 36 months standard, with a 3-year return-to-factory option
- Trade-off
- On-site support radius is centred on Hitachi Vantara’s own service hubs
The DDN and Hitachi Vantara ranges Sirius Star supplies
Two picks from each brand. We size the mix in the free 30-minute review.
DDN AI400X2
All-NVMe parallel storage appliance built for GPU-dense AI training clusters.
- Up to 115 GB/s read, 75 GB/s write per appliance
- Validated with NVIDIA DGX SuperPOD and HGX reference architectures
- InfiniBand or 200/400GbE cluster networking
DDN EXAScaler
Lustre-based parallel filesystem, the software layer behind every A3I appliance.
- Aggregates multiple appliances into one namespace
- Scales to tens of petabytes of usable capacity
- Built-in redundancy and automatic failover
Hitachi VSP One Block
Dedicated block storage backed by a 100% data availability guarantee.
- Up to 4:1 data reduction guarantee
- 36-month standard hardware warranty
- Ops Center consolidates management into one control plane
Hitachi VSP One File / Object
Unstructured data storage built for AI, enterprise and high-performance workloads.
- Native S3-compatible object access
- Non-disruptive migration between tiers
- Scales independent of the compute layer
DDN vs Hitachi Vantara: feature by feature
The specifics that decide the buy, for the Indian buyer.
| Feature | DDN | Hitachi Vantara |
|---|---|---|
| Architecture | Parallel scale-out appliance running the EXAScaler filesystem | Dedicated block, file and object storage array |
| Best fit workload | AI training, HPC and GPU-dense clusters | General enterprise storage, mainframe-adjacent, regulated data |
| Peak throughput per appliance | Up to 115 GB/s read, 75 GB/s write, around 3M IOPS | Tuned for consistent enterprise IO rather than raw parallel throughput |
| Scale-out model | Add appliances, aggregate into one namespace, up to tens of PB | Add controllers or shelves, independent of compute |
| Data availability | Redundant, automatic failover built into the A3I architecture | Backed by a 100% data availability guarantee on VSP One |
| Storage efficiency | Not the primary design goal, tuned for throughput first | Up to 4:1 data reduction guarantee on VSP One |
| Support tiers | Standard, Basic Self-Maintenance, Basic Onsite, Premium Onsite (1-hour Severity 1 response) | Basic, Standard, Premium with 24×7 global technical support |
| Network fabric | InfiniBand or 200/400GbE, built for GPU cluster fabrics | Standard enterprise SAN or NAS networking |
Which one for what
The clean decision guide for common Indian B2B scenarios. Pick the row that fits.
Training large AI models on a GPU cluster (DGX, HGX)
DDN. Purpose-built parallel storage validated against NVIDIA reference architectures.
General enterprise block, file and object storage for the business
Hitachi Vantara VSP. Broader enterprise feature set, guaranteed availability.
Both an AI initiative and a regulated core banking or ERP estate
Run DDN for the GPU cluster and Hitachi Vantara for the enterprise estate. Sirius Star can size and quote both on one PO.
HPC research workloads with unpredictable, bursty IO
DDN. The scale-out parallel filesystem handles concurrent access from hundreds of compute nodes.
Regulated data needing a guaranteed uptime commitment in writing
Hitachi Vantara VSP One, backed by its data availability guarantee.
How Sirius Star sizes DDN or Hitachi Vantara
Free review first. Then a written quote in 24 working hours.
Site survey + sizing
Free 30-min call. We map load, refresh cycle, and current estate.
Both brands quoted
Written quote in 24 working hours. Itemised. GST broken out.
PO and dispatch from Vashi
Typical 10 working days for stock SKUs. Staggered rollout if multi-site.
Warranty and refresh wrap
One escalation path. Refresh calendar in writing. Buyback where offered.
Buying storage for AI and HPC in India: the field guide
- Questions to ask before sizing a GPU storage cluster
- How parallel storage differs from a general enterprise array
- What Sirius Star checks before recommending DDN or Hitachi Vantara
DDN vs Hitachi Vantara in India FAQ
Common questions Indian buyers ask. Answers grounded in current sources.
Is DDN a competitor to Hitachi Vantara, or a different category of storage?
What kind of throughput does DDN actually deliver?
What support response times can we expect from each vendor in India?
Do we need DDN if we are not running AI or HPC workloads?
Can Sirius Star size and support both platforms together?
Ready for a sized DDN or Hitachi Vantara quote?
Tell us your workload, GPU count or estate size. We size both platforms honestly, on one PO if you need both.
Pair this on one PO
What buyers typically add to a Sirius Star order.
Related reading from the Sirius Star blog
Long-form context from our team.
Sources referenced
- DDN A3I Storage Data Sheet– ddn.com
- Data Storage Platforms | Hitachi Vantara– hitachivantara.com