DDN vs Infinidat: Enterprise Storage in India
DDN and Infinidat sell you two different storage promises.
DDN feeds GPU clusters at extreme scale. Infinidat, now a Lenovo company, guarantees 100% uptime for workloads a bank or hospital cannot lose.
DDN vs Infinidat at a glance
Both brands in one view. Where each one wins, and where the ASP network changes the answer.
DDN
- What it is
- DDN builds parallel file systems and AI data platforms: EXAScaler on Lustre, AI400X2/X3 appliances, and the newer Infinia software-defined platform.
- Who it fits
- GPU clusters, research labs, and any Indian data centre training large models or running HPC simulation at scale.
- The real decision
- Not which appliance, but whether your bottleneck is actually GPU-feed rate. If GPUs sit idle waiting on storage, that is the DDN conversation.
- Why it is different
- DDN claims roughly 90% of India’s AI supercomputers, including PARAM Siddhi and Yotta Shakti Cloud, and NVIDIA itself runs on DDN internally.
- Where it struggles
- Lustre-based EXAScaler needs node-by-node upgrades, which can be disruptive, and it is not naturally multi-protocol without an extra gateway.
- How you buy in India
- Through Sirius Star as an authorised reseller, sized to your GPU count and growth plan, typically ₹25 lakh and up.
Infinidat
- What it is
- Enterprise storage from Infinidat, now a Lenovo company: InfiniBox G4 hybrid, InfiniBox SSA G4 all-flash and InfiniGuard G4 backup, all on InfuzeOS.
- Who it fits
- Banks, insurers, hospitals and large enterprises consolidating ageing arrays who want the uptime number written into the contract.
- The real decision
- Not how big a box, but which array: hybrid for mixed workloads, all-flash for latency-critical databases, InfiniGuard for backup and recovery.
- Why it is different
- A 100% availability guarantee is contractual, not marketing, and almost every feature ships included rather than as a paid add-on.
- Where it struggles
- Arrays are self-contained. Growing past one box usually means buying a second one, and file replication options are thinner than block.
- How you buy in India
- Through Sirius Star as an authorised reseller, CapEx or consumption-based, now backed by Lenovo’s India channel and support desk.
The DDN and Infinidat ranges Sirius Star supplies
Two picks from each brand. We size the mix in the free 30-minute review.
EXAScaler (Lustre-based)
The parallel file system built for GPU-feed rate at extreme scale, used across NVIDIA’s own DGX SuperPOD reference designs.
- Feeds 500,000+ NVIDIA GPUs across DDN’s global install base
- Validated for DGX SuperPOD and GB200 reference architectures
- Node-by-node upgrade path, not a single forklift swap
Infinia 2.x
The newer software-defined layer for teams who want an S3-native, multi-protocol data platform without Lustre’s operational overhead.
- Object, file and block access without a separate Lustre gateway
- Built for mixed AI pipelines, not only pure HPC training runs
- Runs on standard servers, no proprietary appliance lock-in
InfiniBox G4
The hybrid array for consolidating mixed enterprise workloads on affordable capacity, with the 100% availability guarantee written into the contract.
- Block, file and native S3 object on one platform
- Scales to tens of petabytes in a single rack
- Guaranteed 100% availability, contractually
InfiniBox SSA G4
The all-flash array for the databases that cannot tolerate latency, on the same InfuzeOS and the same guarantees.
- Latency as low as roughly 35 microseconds, guaranteed
- Triple-redundant architecture, resilient to multiple failures
- Customer-rack installable entry models
DDN vs Infinidat: feature by feature
The specifics that decide the buy, for the Indian buyer.
| Feature | DDN | Infinidat |
|---|---|---|
| Core buyer | AI/HPC teams feeding GPU clusters | Enterprise IT consolidating storage estates |
| Availability promise | Engineered for throughput, not a contractual uptime number | 100% availability guarantee written into the order |
| Protocol access | Needs a gateway for NFS/SMB alongside the native Lustre client | Block, file and S3 object native on one array |
| Upgrade path | Node-by-node, can be disruptive mid-cluster | Add capacity within the same rack, largely non-disruptive |
| India footprint | ~500 R&D staff in Pune/Bengaluru, Make in India since 2021 | Now backed by Lenovo’s India channel and support desk (Apr 2026) |
| Typical entry price in India | ₹25 lakh and up | Quote-based, sized to workload |
| Backup / ransomware recovery | Not the primary use case; needs a separate backup target | InfiniGuard G4 purpose-built for petabyte-scale backup and recovery |
| Where it struggles | Not multi-protocol by nature; cost of operation questioned by analysts | Self-contained arrays; growing past one box often means buying another |
Which one for what
The clean decision guide for common Indian B2B scenarios. Pick the row that fits.
Training large models on a GPU cluster
DDN. EXAScaler or Infinia is the one of the two built to keep GPUs fed at full rate.
Consolidating five ageing SAN arrays in one data centre
Infinidat. One rack, one guarantee, and a support desk now backed by Lenovo.
Core banking database needing microsecond latency
Infinidat SSA G4. Guaranteed latency and availability matter more than raw AI throughput here.
Research lab running mixed AI and traditional workloads
Often both. DDN for the training runs, Infinidat for everything else that needs guaranteed uptime.
Ransomware recovery is the board’s top concern this year
Infinidat InfiniGuard G4, built specifically for backup and cyber recovery at scale.
How Sirius Star sizes DDN or Infinidat
Free review first. Then a written quote in 24 working hours.
Tell us the workload
Share GPU count or application load, current arrays, and growth plan. That is what sizes either brand.
We size the right platform
We map your load to DDN’s parallel storage or Infinidat’s guaranteed array, and quote honestly if you need both.
PO and dispatch
Written quote in 24 working hours. GST broken out. Staggered rollout if multi-site.
Warranty and support wrap
One escalation path, refresh calendar in writing, and support terms confirmed before you sign.
DDN vs Infinidat: an Indian buyer’s storage sizing checklist
- When your bottleneck is GPU-feed rate vs when it is uptime
- The buying checklist before you sign either purchase order
- What Lenovo’s Infinidat acquisition changes for India support
- How to get guarantees, not just specs, written into your PO
DDN vs Infinidat in India FAQ
Common questions Indian buyers ask. Answers grounded in current sources.
Can I run DDN and Infinidat in the same data centre?
Is Infinidat still an independent company?
Which one costs less in India?
Does DDN handle regular enterprise file and block storage?
What is India’s real-world adoption of these two brands?
Ready for a sized DDN/Infinidat quote?
Tell us your workload and growth plan. We quote either brand, or both, sized honestly. Buying 50+ laptops or desktops on the same rollout? Ask about Device-as-a-Service too.
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.