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AI Compute & MaaS Platform

200+ Large Models · 10K Compute
One API Is All You Need

ChatGPT · Gemini · Claude · DeepSeek · Kimi... International & Domestic Leading AI Computing Platforms

Based on our self-developed inference acceleration engine and heterogeneous computing scheduling platform, we provide enterprises with 10K-level GPU computing operations, 200+ domestic and international large model API rentals, and dedicated reserved instance services. Our proprietary NVIDIA GPUs and domestic chips are unified under management, with inference throughput improved by 3-5x. All services operate within domestic data centers, ensuring data never crosses borders.

Try API Now → GPU Cluster Online Models Ready API Availability 99.99%
200+Models Integrated
10KGPU Cluster Scale
70%First Token Latency Reduction
99.99%API Availability

Platform Core Capabilities

Six core features to make AI computing simpler and more efficient

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Intelligent Model Recommendation

AI automatically analyzes business scenarios and recommends optimal model combinations, reducing selection costs

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Real-Time Performance Monitoring

Real-time visualization of GPU utilization, API response time, token consumption, and more

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Multi-Language SDK Support

SDKs for Python, Java, Go, Node.js, and other mainstream languages for rapid integration

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Usage Alerts & Controls

Intelligent usage alerts, automatic rate limiting to prevent overspending, refined cost control

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Auto Elastic Scaling

Automatic scaling based on request load, ensuring service stability under high concurrency

First Token Acceleration

Self-developed inference acceleration engine with KV Cache optimization and continuous batching, reducing first token latency by 70%

Four Core Services

From underlying computing to upper-layer gateway, covering the full spectrum of enterprise AI infrastructure needs

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10K GPU Cluster Management

Proprietary NVIDIA GPUs + Huawei Ascend 910B + MetaX + Moore Threads, unified management and elastic scheduling of heterogeneous computing. Self-developed inference acceleration engine with deep KV Cache optimization and continuous batching, reducing first token latency by 70% and improving throughput 3-5x.

Heterogeneous chip unified scheduling
Elastic scaling on demand
GPU utilization improved 300%
Inference latency reduced 70%
10K-level cluster parallel processing
Deep KV Cache optimization
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200+ Large Model API Rental

Integrating 200+ mainstream large models including ChatGPT, Gemini, Claude, DeepSeek, Kimi, and more. One-click access, compatible with OpenAI interface specifications — migrate existing code with virtually zero changes.

OpenAI interface compatible
200+ models pre-integrated
Rapid new model adaptation
API availability 99.99%
Full international & domestic coverage
Ready to use instantly
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Dedicated Reserved Instances

Exclusive computing resource guarantee with no sharing. No model precision degradation, inference stability assured. Predictable and controllable costs, enterprise SLA 99.9% availability commitment — ideal for production workloads with strict latency and availability requirements.

Exclusive resources, no sharing
SLA 99.9% commitment
1-7 business day deployment
Predictable and controllable costs
No model precision degradation
24/7 operations support
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AI Service Gateway

Privatized large model service gateway with unified multi-model access management and intelligent routing. Fine-grained quota control by user/project dimensions, full-chain observability, bidirectional desensitization to filter privacy risks.

Intelligent routing & load balancing
Multi-tenant isolation governance
Full-chain audit logs
Content security detection >99%
Real-time bidirectional desensitization
Fine-grained quota control

Core Models Overview

200+ models pre-integrated, below are core model highlights — continuously updated

International Leading Models
GPT-4.1 miniPopular
OpenAI
Context1M
Input¥2.80/M tokens
Output¥11.20/M tokens
GPT-4.1
OpenAI
Context1M
Input¥14.00/M tokens
Output¥56.00/M tokens
Claude Sonnet 4.5Latest
Anthropic
Context200K
Input¥21.00/M tokens
Output¥105.00/M tokens
Gemini 2.5 Pro
Google
Context1M
Input¥8.75/M tokens
Output¥70.00/M tokens
Domestic Large Models
DeepSeek-V4 ProPopular
DeepSeek
Context128K
Input¥2.00/M tokens
Output¥5.00/M tokens
DeepSeek-R1Reasoning
DeepSeek
Context128K
Input¥2.00/M tokens
Output¥5.00/M tokens
GLM-5.1
Zhipu AI
Context128K
Input¥2.00/M tokens
Output¥4.00/M tokens
Qwen3.7 MaxLatest
Alibaba Qwen
Context128K
Input¥2.00/M tokens
Output¥6.00/M tokens
High-Speed Inference / Code / Multimodal
DeepSeek-V4 FlashLatest
DeepSeek
Context128K
Input¥0.50/M tokens
Output¥1.00/M tokens
Qwen3.6 FlashHigh-Speed
Alibaba Qwen
Context128K
Input¥0.30/M tokens
Output¥0.60/M tokens
GLM-5V-TurboMultimodal
Zhipu AI
Context128K
Input¥1.50/M tokens
Output¥3.00/M tokens
MiniMax-M2.7
MiniMax
Context1M
Input¥2.00/M tokens
Output¥4.00/M tokens

View all models and pricing →

Multi-Architecture Chip Support

Domestic chips as primary, proprietary computing as supplementary — flexibly choose the optimal solution

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Huawei Ascend 910B
Domestic Computing
Domestic compliance scenarios
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MetaX GPU
Domestic Computing
General inference scenarios
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Moore Threads S4000
Domestic Computing
Lightweight inference tasks
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NVIDIA A100
Proprietary Computing
Large-scale inference & training
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NVIDIA H100
Proprietary Computing
High-performance inference acceleration

End-to-End Defense-in-Depth

AI-driven security, full-chain protection from data to application

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End-to-End Encryption

Full-chain TLS encryption, encrypted data storage, comprehensive key management system

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Bidirectional Real-Time Desensitization

Automatic detection and masking of sensitive information in inputs and outputs to prevent privacy leaks

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Full-Chain Audit Logs

Every API call is traceable and auditable, meeting financial and healthcare compliance requirements

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Strict Multi-Tenant Isolation

Complete data isolation between tenants, supporting multi-dimensional access control by organization/project/user

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Private Deployment Support

Data never leaves the domain — all inference completed within the enterprise intranet or domestic data centers

Content Security Detection

Real-time attack defense with over 99% detection accuracy — sensitive content automatically intercepted

Typical Application Scenarios

Validated and deployed across finance, manufacturing, internet, and other industries

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Enterprise AI Platform Setup

One-stop enterprise AI infrastructure deployment from computing allocation to model loading to API configuration.

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Financial Industry AI Applications

Private deployment + data never leaves domain + full-chain audit, meeting the strictest compliance requirements of the financial industry.

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Manufacturing Quality Inspection

Reserved instances ensure low-latency inference — industrial quality inspection model response < 50ms with 24/7 SLA guarantee.

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Multi-Model A/B Testing

Intelligent gateway routing — simultaneously invoke multiple models to compare performance for the same business, supporting canary releases.

Reserved Instance Pricing

Exclusive computing resources, no model precision degradation, assured inference stability (monthly billing)

ModelMonthly PriceUnit PriceTPMTTFTTPSContext
DeepSeek-V4 Pro Popular¥594,000/mo¥2.20/M tokens12.5M1,600ms451M
GLM-5.1¥594,000/mo¥2.75/M tokens10M1,500ms301M
Kimi-K2.6¥594,000/mo¥6.88/M tokens4M1,500ms30256K
MiniMax-M2.7 Cost-Effective¥297,000/mo¥2.75/M tokens5M500ms301M
• TPM: Tokens Per Minute• TTFT: Time To First Token• TPS: Tokens Per Second

Data Flow Architecture: From Compute to Application

Four-layer architecture connecting computing to end applications end-to-end

LAYER 01
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Compute Resource Layer

Unified Heterogeneous Computing
NVIDIA A100/H100 · Huawei Ascend 910B · MetaX GPU · Moore Threads GPU — 10K-level cluster unified scheduling
LAYER 02

Inference Service Layer

High-Performance Inference Engine
Deep KV Cache optimization · Continuous batching · Quantization acceleration · 70% first token latency reduction, 3-5x throughput improvement
LAYER 03
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API Gateway Layer

Intelligent Routing & Metering
OpenAI-compatible interfaces · Intelligent load balancing · Precise token metering · Multi-tenant isolation and access control
LAYER 04
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End Application Layer

Ready-to-Use AI Applications
Smart customer service · Content generation · Data analysis · Code assistance · Quality inspection — rapidly build enterprise-grade AI applications

Flexible Partnership Models

Joint operations and computing consumption solutions, co-building the AI computing ecosystem

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Joint Operations

For IDC operators, intelligent computing centers, GPU cloud providers

Providing computing resource integration and unified scheduling solutions, sharing revenue with partners. Supports multiple revenue-sharing models, helping computing resource holders quickly monetize their assets.

Unified computing resource management
Flexible revenue-sharing models
Co-branded operations
Technical support and operations
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Computing Consumption & Servitization

For government/enterprise clients, large internet companies, financial institutions

Helping enterprises convert idle computing into productivity, improving inference efficiency while monetizing redundant resources. Full-chain solutions from computing to applications.

Efficient idle computing utilization
Inference efficiency 3-5x improvement
Redundant computing monetization
Full-chain solutions

Frequently Asked Questions

Common questions about AI computing operations and model services

We have 20 years of enterprise-level technical experience, with a self-built 10K-level GPU computing cluster integrating 200+ mainstream large models. Our self-developed inference acceleration engine, based on KV Cache optimization and continuous batching, reduces first token latency by 70% and improves throughput 3-5x. Unified heterogeneous computing management supports NVIDIA + Ascend + MetaX + Moore Threads multi-chip architectures.
Pay-as-you-go is suitable for occasional calls or testing scenarios, billed by actual token usage. Reserved instances are ideal for large-scale stable workloads, with exclusive computing resources not shared with others, no model precision degradation, assured inference stability, and predictable costs. For production workloads with high daily call volumes, reserved instances offer lower overall costs.
We fully support Huawei Ascend 910B, MetaX GPU, Moore Threads S4000, and other domestic computing chips. Domestic chips are primarily used for compliance scenarios and general inference tasks, complementing NVIDIA computing. The heterogeneous computing unified scheduling platform intelligently selects the optimal chip solution based on business needs.
Our gateway provides 6 layers of defense-in-depth: end-to-end TLS encrypted transmission, bidirectional real-time desensitization, full-chain audit logs, strict multi-tenant isolation, private deployment support (data never leaves the domain), and content security detection (over 99% accuracy). It meets the strict compliance requirements of the financial and healthcare industries.
Yes. We provide a complete private deployment solution where all inference is completed within the enterprise intranet or domestic data centers, with data never leaving the domain. Suitable for government and enterprise clients with strict data security and privacy requirements — deployment can be completed within 1-7 business days.
Even with existing APIs, a gateway brings significant value: ① Unified multi-model access, avoiding maintenance of multiple SDKs; ② Intelligent routing and failover for high availability; ③ Refined usage control to prevent overspending; ④ Full-chain observability for quick problem identification; ⑤ Cost optimization with intelligent model selection.
We provide multi-dimensional cost control solutions: ① Usage alerts and automatic rate limiting to prevent unexpected overspending; ② Intelligent model recommendations for the most cost-effective options; ③ Reserved instances to lock in unit prices for predictable costs; ④ Multi-dimensional billing analysis for clear visibility into consumption across business lines.
Private deployment is recommended for: ① Industries with extremely high data security requirements such as finance/healthcare/government; ② Compliance requirements prohibiting data from crossing borders; ③ Scenarios requiring deep integration with internal systems; ④ Production workloads with strict latency and availability requirements.
We commit to 99.99% API availability and 99.9% SLA for reserved instances. 24/7 operations support with a 5-minute response time for any issues. Fallback failover support ensures business continuity by automatically switching to backup models when the primary model is unavailable.
Get started in 3 minutes: ① Register an account and get an API key; ② Use our multi-language SDKs (Python/Java/Go/Node.js); ③ Compatible with OpenAI interface specifications — existing code requires virtually zero changes. We provide comprehensive documentation and technical support to help you integrate quickly.

Launch Your
AI Infrastructure

Whether you're exploring AI for the first time or seeking computing and model service upgrades, we have a professional solution for you

Try API Now → Business Inquiry

Frequently Asked Questions

What is AI Compute Operations?

AI Compute Operations is a core AI service from iChina AI, a brand of Shenzhen HLZX Cloud Computing Co., Ltd. Since 2006, we have built deep expertise in artificial intelligence, big data, cloud computing and blockchain, backed by more than 228 software copyrights and national high-tech enterprise certification. We help clients across manufacturing, healthcare, legal, education, e-commerce, finance, government and 30+ industries achieve digital transformation, operational efficiency and sustainable growth.

What core problems does AI Compute Operations solve?

AI Compute Operations helps enterprises reduce repetitive labor costs, accelerate key business decisions, improve brand visibility and citation rates on AI search engines such as ChatGPT, Claude, Perplexity and Google AI Overviews, and build a complete closed loop from data collection and knowledge organization to model training and business implementation across manufacturing, education, healthcare, legal, finance and retail.

Why choose iChina AI for AI Compute Operations?

Choosing iChina AI for AI Compute Operations means partnering with a company that has more than 20 years of technology R&D experience, over 228 software copyrights and national high-tech enterprise certification. We offer SaaS, private deployment and hybrid cloud options, dedicated customer success managers and 7×24 technical support, serving mainland China, Southeast Asia and the Middle East.

How do I get started with AI Compute Operations?

You can submit a request through the iChina AI website, call +86-400-6801-888 or email business@ichina.cn. Our solution experts will contact you within one business day to provide a customized plan, transparent quotation and full implementation support based on your industry, business size and digital goals.

Who is AI Compute Operations best suited for?

AI Compute Operations is ideal for SMEs, large enterprises, government agencies, industrial parks, industry associations and channel partners seeking transformation through AI. Whether your focus is growth, efficiency, cost optimization, compliant global expansion or AI brand visibility, we provide matched product capabilities, industry experience and ongoing operations support.