Storage · AI cache
More tokens from the GPUs you already have.
External SSD cache for domestic GPU modules and four-to-eight-card NVIDIA 4090 / 5090-class workstations. The pitch is higher token throughput without buying more GPU. This is not a drop-in for datacentre U.2 arrays.
Who this is for
AI lab builders, SIs assembling GPU racks, university and boutique inference rooms. Not hyperscalers. Not a replacement for enterprise U.2 qualification on a storage array.
What we need on the RFQ
- — GPU count and model
- — Model / workload (or “inference vs training-assist”)
- — Host software stack if known
- — Form factor and interface you can accept
- — Quantity of cache units
- — Destination
This line is not interchangeable with the GENSTORAIGE U.2 enterprise SKU and is not claimed as a datacentre array drive.
Request an AI-cache RFQ
Include GPU count and workload.