OUR SOLUTION
Solutions
03
MaaS AI Platform
ZHCW’s enterprise large-model platform runs one closed loop from heterogeneous-compute management through training, inference deployment, and into the scenario. It puts large models into production at scale — lower cost, higher speed, stronger performance, steadier — across the whole path from R&D to production.
The solution
Unified heterogeneous compute
- Onboard and schedule multi-architecture, multi-brand compute — domestic chips accelerated — for central management and high utilisation.
Best practice and tuning
- Leading open-source models shipped with best-practice implementations, tuned for training and inference to speed models into production.
Low-barrier, multi-scenario
- A visual console and an API — no deep technical background needed to call model services across scenarios.
Full-lifecycle management
- Compute, models and applications monitored, tuned and reclaimed as one — sustainable over the long run.
The payoff
Easy to start
- Out of the box: 100+ mainstream models pre-integrated, images updated dynamically, new releases adapted first; one toolchain across training, inference, fine-tuning and deployment
- Heterogeneous compute unified for one-touch scheduling and automated deployment; a visual console gets you running in three minutes, with 30+ preset templates and no manual tuning
High performance
- Inference tuned for 70% lower latency and 3–5× throughput; compute and model services load-balanced intelligently, with second-scale elastic scaling that balances performance and cost; a tagged model registry filters fast, with 20+ core performance benchmarks built in
Low cost
- Compute efficiency and memory managed to the limit — unit cost drops sharply
- Lossless dynamic quantisation cuts inference compute by 60–80%
Strong security
- End-to-end data security and compliance — data-leak risk down 99%
- Real-time defence against attacks — content-safety detection over 99% accurate
