The other half of every AI project

GPUs get the glory. Storage, backup and network decide whether the thing actually works.

Storage for AI

Training data, checkpoints, RAG corpora and object tiers — sized for GPU feed speed, not for the spreadsheet.

🗄️Dell PowerScale

Scale-out unstructured / NAS — the classic home of training corpora and S3 targets

🗄️Dell PowerStore

NVMe all-flash for databases, vector stores and hot project data

🗄️Checkpoint tiering

NVMe for the hot run, cheap capacity for the archive — automatic

Data protection

Ransomware does not care that the server is new. Backups for the models, the data and the config that binds them.

🛡️Dell PowerProtect / Data Domain

Deduplication target built for the backup window you do not have

🛡️Immutable + air-gapped copies

Snapshot chains nobody can encrypt, offsite copy nobody can reach

🛡️Test restores

A backup you never restored is a rumor. We schedule the proof, quarterly

Networking

East-west GPU traffic, storage separation and a boring, predictable office VLAN — one design, not three vendors.

🔀Dell PowerSwitch 100/200/400GbE

From office-rack quiet to fat GPU fabrics

🔀Storage and replication networks

Separated, jumbo-framed, documented — no surprises at training time

🔀Cluster interconnect

ConnectX 200 GbE pairs and beyond, cabled and validated

Bring us the whole project — GPUs, storage, backup, network — one quote, one responsible partner. Talk to an engineer