Shared AI Storage. One Capex, No Egress Bill.
High-bandwidth NVMe appliance for embeddings, checkpoints, vector databases, and structured data.
Cloud storage bills for AI are brutal: model checkpoints, vector DBs, embedding stores, and egress. Databank 64 turns that recurring cost into a single capex line item. It is a high-performance all-flash appliance designed for the aggregate bandwidth demands of multi-node AI workloads.
3× the price of a J32 and a high-margin attach SKU. Recommended for any production deployment with RAG, document intelligence, or shared structured data.
Quad 100 GbE
Four 100 GbE ports because storage is the highest aggregate bandwidth consumer in the cluster.
64 TB all-flash NVMe
Room for embeddings, checkpoints, vector indices, and structured databases without capacity anxiety.
Turn cloud storage opex into capex
No egress surprises. No tiered retrieval fees. One fixed cost, owned in your datacenter.
- —Production RAG with large document corpora
- —Vector database hosting
- —Model registry and checkpoint versioning
- —ClickHouse analytics and PostgreSQL databases
- —Ceph and ZFS storage pools
- —Standalone evaluation or simple inference without RAG
- —Single-node deployments where local NVMe is sufficient
- —Vector database (RAG retrieval)
- —Model registry and versioning
- —Embedding store
- —Document cache
- —ClickHouse / PostgreSQL / Ceph / ZFS
Stop renting your AI storage.
Model your current cloud storage and egress spend. We will show you the Databank 64 payback period.