AI-Compute Services

Dual‑Track AI Compute Solutions — covering core components, training and inference servers, and integrated services — providing an efficient, secure, and green computing foundation for AI applications and digital transformation.

Solution Value

Confronting the core challenges in industry‑wide AI scaling and digital transformation—including high computing costs, complex technology stacks, and urgent demands for autonomy—we deliver intelligent computing infrastructure and services. Our solution serves not only as the "power engine" for enterprise AI adoption, providing robust computing from training to inference, but also as its "asset steward" and "technology partner." Through full‑lifecycle server management, we reduce total cost of ownership (TCO), and via an integrated "hardware + platform + models" delivery model, we significantly lower the barrier to AI adoption while ensuring business data security and technological sovereignty.

Core Modules

High‑Performance AI Training & Inference Servers

Based on a dual‑track intelligent computing solution, it delivers stable, powerful computing output for large‑scale model training and high‑concurrency inference scenarios.

All‑in‑One Inference Workstation

Offers an appliance pre‑integrated with large models, providing a ready‑to‑use out‑of‑the‑box experience. Supports on‑premises deployment, delivering a dedicated AI assistant for government and enterprise clients with minimal setup, while ensuring data privacy and business continuity.

Full‑Stack Self‑Developed Computing Components

Provides a complete family of components—from processor modules, NVMe/SAS SSDs, high‑performance RAID cards, smart NICs to DPUs (Data Processing Units). Through underlying hardware innovation, it enables system‑wide interconnectivity, storage acceleration, and compute offloading, comprehensively improving data‑center efficiency.

Server Full‑Lifecycle Services

Delivers "post‑lifecycle" services covering hardware upgrades, virtualization optimization, preventive maintenance, eco‑friendly disposal, and residual‑value recovery, extending server lifespan by 2–3 years and significantly reducing total cost of ownership (TCO).

Overall Architecture

The solution constructs a layered, decoupled, and scalable technology stack from hardware foundations to AI services:

Hardware Infrastructure Layer

Based on Kunpeng general‑purpose computing and Ascend AI computing platforms, it offers a full range of hardware products including modules, boards, systems, and clusters, forming a flexibly configurable intelligent computing product foundation.

Resource Management & Orchestration Layer

Through platform software for computing virtualization, cluster management, and container management, it enables unified pooling, intelligent scheduling, and efficient utilization of heterogeneous computing resources, supporting multi‑tenant and multi‑task scenarios.

AI Platform & Engine Layer

Integrates AI frameworks, development environments, data management, and model training/inference engines, providing end‑to‑end support from data preparation and model development to deployment and operations.

Industry Application Layer

Through integrated solutions or open APIs, it delivers computing power and AI capabilities to specific application scenarios across hundreds of industries such as autonomous driving, smart healthcare, fintech, and natural language processing.

Key Advantages

Full‑Stack Independent Innovation, Secure and Reliable

Core hardware is based on the Kunpeng and Ascend technology systems, achieving full‑stack independent R&D and production from chips and components to complete systems—meeting the stringent requirements for autonomy, controllability, and security in critical sectors.

Hardware‑Software Co‑Optimization, Superior Performance

Through self‑developed DPUs for compute offloading, smart NIC acceleration, and high‑performance SSD and RAID card optimization, it enables domain‑wide synergy across computing, storage, and networking to unleash the ultimate performance of the hardware.

End‑to‑End Delivery, Rapid Deployment

Offers product portfolios ranging from pure hardware to integrated "hardware + platform + models" solutions, particularly out‑of‑the‑box large‑model appliances, significantly shortening the AI capability‑building cycle and reducing technical complexity.

Green and Energy‑Efficient, Optimal Full‑Lifecycle Cost

Products feature high energy‑efficiency ratios and are supported by professional "post‑lifecycle" services that extend asset lifespan, optimize residual‑value recovery, and reduce customer TCO throughout the entire lifecycle from procurement to decommissioning.

Quantified Benefits

Computing Performance Boost
Training‑server interconnect solutions significantly accelerate large‑scale AI training efficiency; inference appliances support up to 80 concurrent streams, meeting high‑throughput business demands.
Total Cost Reduction
Post‑lifecycle server services extend equipment lifespan by 2–3 years, reducing total cost of ownership (TCO) by up to 30%.
Deployment Efficiency Leap
Integrated products enable rapid delivery and deployment, shortening AI infrastructure setup time from months to days.
Data Security & Compliance
On‑premises deployment ensures sensitive data never leaves the local environment, fully meeting the stringent data‑privacy and compliance requirements of industries such as finance and government.

Application Scenarios

Government and Enterprise‑Specific AI Platform Deployment
For government agencies or large enterprises requiring strict data security, we deploy all‑in‑one inference appliances to rapidly build on‑premises, dedicated AI capabilities—such as intelligent Q&A, document analysis, and knowledge‑base assistants—enabling secure and controllable intelligent upgrade.
AI R&D and Training Platform Construction
For universities, research institutes, or corporate AI R&D teams, we provide cluster solutions based on training servers to build autonomous, high‑performance AI training environments that support the development and innovation of large‑scale models.
Data Center Intelligent Transformation and Efficiency Improvement
For existing data centers, we introduce self‑developed high‑performance NVMe SSDs, smart NICs, and DPUs to comprehensively enhance the processing performance and energy efficiency of core services such as cloud platforms and big‑data analytics through storage acceleration, network offloading, and virtualization optimization.
IT Asset Lean Management
For clients with large server inventories, we offer professional post‑lifecycle server services—including hardware upgrades, optimization maintenance, and eco‑friendly disposal—to maximize the value of existing assets, achieving cost reduction, efficiency improvement, and green and low‑carbon goals.

Contact us to design the compute solution that powers your AI future.

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