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Three Customizable Technical Routes for Diverse AI Computing Scenarios

#News Center ·2026-09-16 12:32:38


To fully adapt to differentiated AI computing demands, Hanjing equips its Agent Computer series with three exclusive technical routes, enabling flexible, demand-based configuration without compromising performance. Covering lightweight scheduling, professional model fine-tuning and complex hybrid computing tasks, the multi-dimensional solution empowers full-scenario AI development and deployment.

Integrated Graphics Supercomputing for Lightweight Scheduling
Optimized for task assignment and CV/CD pipeline operations, the integrated graphics solution features ultra-compact design and silent operation. It supports 7×24-hour unattended batch processing and automated Agent regression testing, delivering stable, low-consumption computing output for long-term lightweight AI workflow tasks.

Professional Discrete Graphics for Model Fine-Tuning & Multi-Agent Collaboration
Built for high-intensity AI workloads, the discrete graphics configuration boasts large video memory and high throughput performance. It efficiently supports LoRA and QLoRA lightweight fine-tuning, as well as multi-channel concurrent model inference, perfectly matching large model iteration and multi-Agent collaborative computing scenarios for enterprise-level AI development.

Heterogeneous Collaboration for Complex Task Orchestration
Tailored for sophisticated task orchestration and hybrid load processing, the heterogeneous collaborative system adopts independent dynamic scheduling technology. It allows expansion of external computing modules, flexibly adapting to sudden workload spikes and complex industrial hybrid computing requirements, realizing scalable and high-stability AI computing deployment.

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