AI Compute Infrastructure Integrated Service Platform

Provide toAI Training, AI Inference, Large Language Models (LLMs), AIGC, Digital Humans, AI AgentsAI computing server solutions for industry applications.

Based on the customer's actual business requirements, fromGPU Model, Server Configuration, Storage, Network, Rack, Power, and Coolingto carry out overall planning in these areas.

Provide:

AI Computing Server · GPU Server · Large Model Training Server · AI Inference Server · High-Performance Computing Server · Compute Cluster Node · Complementary Storage and Networking Equipment

From single-server setups to multi-node compute clusters, meeting AI infrastructure needs of any scale.

Not just "selling servers," but helping customers complete the transition fromRequirements analysis to equipment deliverythe complete procurement process.

Provide based on customer budget, application scenarios, and compute requirementsServer Configuration PlanandCompute Investment Plan。

Service Process:

Requirements Analysis → Compute Capacity Estimation → Server Selection → Configuration Scheme → Business Quotation → Device Procurement → Logistics Delivery

Help customers lower the barrier to device procurement while avoiding mismatched configurations, underutilized assets, and redundant investments.

Server delivery is not the end of computing infrastructure construction.

We provide fromDeploy device to compute cluster for executionone-stop deployment service.

Overwrite:

Data Center Planning → Rack Deployment → Network connection → Server Rack Installation → GPU Installation → System Installation → Driver Configuration → Cluster Setup → Compute Scheduling → Test Acceptance

Help customers achieve: deploy immediately upon device arrival, use right after deployment.

Deployment and implementation plans available for enterprise-built intelligent computing centers, IDC data centers, AI compute hubs, and overseas compute nodes.

In the AI era, the value of computing power ultimately manifests through AI models and applications.

We buildToken Compute Trading Service SystemConnects underlying computing resources with AI model services at the application layer.

Via platform:

Compute Resources → Model Services → Token usage → Usage Measurement → Transaction Settlement

Enterprises can access AI models and compute services tailored to their business needs, while providers monetize idle or available compute resources through the platform.

Core Capabilities of the Token Platform:

AI Model Services · Token Usage · API Call · Compute Resource Management · User Management · Account Management · Usage Statistics · Order Management · Transaction Settlement · Data Analysis · Compute Resource Supply-Demand Matching

Efficiently connect computing resources with AI application needs.

AI computing power is expanding from local markets to the global stage.

TargetingAI Model Vendors, Compute Service Providers, and AI Application EnterprisesAnd for enterprises aiming to expand into overseas markets, we provideComprehensive Services for Token Globalization。

Help domestic AI computing power and model service capabilities expand into overseas markets.

Token Offshore Service Pipeline:

Domestic compute and model resources → Token Product Standardization → Integration with overseas platforms and channels → Overseas users / API calls → Token Metering and Billing → Global AI Computing Services

Leverage overseas nodes, computing resources, and localized services to help businesses expand into the global AI compute and model services market.

We are not just a server vendor or a pure compute platform.

Instead, it focuses on building: the AI computing power industry chain.

Finally, a complete:

Compute Hardware → Compute Infrastructure → Compute Services → Token Trading → Global Market: A closed-loop AI computing service ecosystem.