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Solutions

Four scenarios × eight industries — from training to inference, greenfield to retrofit, across the AI infrastructure lifecycle.

BY SCENARIO

By scenario

One disaggregated platform, an optimal answer for each workload.

Training clusters

Accelerate model loading and checkpoint I/O to shorten iterations and cut idle time on expensive GPUs.

Inference serving

For long contexts and high-frequency switching, KV-cache offload/reuse lifts effective utilization and throughput.

AI centers / domestic stack

Disaggregation plus deep Ascend tuning for sovereign, data-resident infrastructure.

Brownfield retrofit

Speed up in place with no GPU swap and no downtime; with utilization below 60% nationwide, the headroom is vast.S11

WS7000 · AI compute center

WS7000 storage acceleration, purpose-built for AI compute centers

For AI centers / AI factories: disaggregation + end-to-end NVMe + GPU-direct across training, long-context inference, KV cache, agent context sharing and green efficiency — a 70M-IOPS / 300GB/s / 20μs-class backbone (vendor spec).

BY INDUSTRY

By industry (target coverage)

Target industry coverage representing typical use cases — not signed relationships.

Telecom operators

Operators and their cloud arms building / expanding AI pools; focused on utilization and TCO.

AI centers / IDC

Building or operating compute centers; storage backbone and long-term compute services.

Internet / cloud / AI labs

Training and inference teams facing slow training, costly inference, slow switching.

Financial services

Strong data-residency and sovereignty needs; inference and risk-control acceleration.

Government / sovereign cloud

Self-control and compliance; Ascend-friendly.

Universities / research

Research clusters and public compute platforms; budget-sensitive, utilization-first.

Energy / manufacturing / health

Compute backbone for industry models and industrial AI.

Channel / SI / OEM

Joint solutions and regional delivery with ecosystem partners.

BUSINESS MODELS

Four business models

Across the lifecycle: sell the box, sell software, retrofit, rent compute.

ModelFormNotes
1. Appliance salesHardwareNew AI clusters buy WS5000 directly
2. Software subscriptionRecurringExisting-hardware customers subscribe to the stack
3. Retrofit revenue shareAsset-lightRetrofit in place, share incremental token output
4. Compute serviceOn-demandAccelerated storage compute, on demand

Benchmark it on your own workload

2 live demo units are ready for immediate PoC. Let the data do the talking.