Based on real business scenarios, we offer enterprise customers highly available and customizable cloud ecosystem solutions, including cluster debugging, performance tuning, full-lifecycle operations and maintenance, and end-to-end support for cloud application development, helping to realize a closed loop of value from underlying compute power to top-level applications.
We provide customizable, high-availability private cloud solutions for enterprise AI development and applications, covering cluster debugging, performance optimization, full lifecycle O&M, and end-to-end cloud application development support.
A full-stack ecosystem engineered for enterprise-ready AI workloads.
Supports Kunpeng/Ascend hardware and Euler/Kylin/Tongxin OS platforms with deep adaptation, enabling unified scheduling of heterogeneous compute resources.
Covers the full process from development, training/fine-tuning, to inference; supports full lifecycle management of AI tasks for multimodal AI applications and model development.
Uses dynamic scheduling and hybrid-cloud scale-out, with second-level fault self-healing and elastic scaling to ensure business continuity.
With Tier-3 classified protection, localized deployment, and end-to-end encryption, the platform supports encryption and traceability throughout the AI application development process.
Supports cluster node configuration, abnormal state management, and task migration from faulty nodes to ensure efficient resource utilization and system stability.
Supports GPU compute resources as full modules, single cards, and custom configurations, with pay-as-you-go, monthly, and yearly billing options.
Owns NVIDIA compute clusters and supports distributed training of models with hundreds of billions of parameters.
Provides 7×24 on-site localized technical support, offering full lifecycle services from hardware monitoring to model optimization.
Hardened infrastructure that keeps AI development secure, fast, and efficient.
Compliance pass rate
100%
Built on Kubernetes and vGPU technologies, the platform constructs a full-link security system from underlying compute to asset management. Tenant-level isolation, data encryption, and permission control keep enterprise AI assets safe.
Reduction in inference response latency
15%
Equipped with a high-performance InfiniBand network tuned for AI training scenarios. Ultra-low latency RDMA reduces distributed communication overhead and keeps throughput high across large clusters.
Increase in resource utilization
30%
Self-developed schedulers deeply integrated with vGPU deliver fine-grained slicing, elastic scaling, and automatic fault migration so AI tasks remain highly available.
Increase in development efficiency
100%
Pre-integrates multimodal datasets and state-of-the-art models with mainstream training, inference, and quantization frameworks, lowering the barrier from R&D to deployment.
Industry-grade compute and tooling for every AI transformation journey.
AI-assisted content generation including intelligent copywriting, multilingual translation optimization, and creative inspiration to boost output quality.
AI-assisted diagnosis and decision-making make medical services more precise, efficient, and intelligent.
High-performance compute pools accelerate production, aggregate production-line data, and enable predictive maintenance plus intelligent scheduling.
Supports risk control, credit approval, and quantitative trading with compute power that secures the entire process and enables millisecond-level anti-fraud.
Compute without boundaries
Have a project in mind? Email contactus@nxon.ai or visit our Contact page to connect with the NXON.ai team across our APAC offices.
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