Industrial AGI Compute Solutions Provider

Making industrial computeas accessible as utilities

Three business lines: a high-quality Token Factory, private deployment with post-training, and GPU hourly rental.

OpenAI-compatible API — migrate by changing the endpoint
First batch certified for CAICT Trusted Token Cloud Service
99.9%+ monthly availability, 300+ billion tokens per day

Certifications & Partnerships

CAICT "Trusted Token Cloud Service" — among the first certified
Strategic partnership with Tencent Cloud
Model partnerships with Alibaba Cloud and Baidu Cloud
Guangzhou AI Application Pioneer List
Vice-chair member, Suzhou AI Industry Alliance

Products & Services

DengCloud Product Matrix

Three business lines covering the path from model access to compute rental — pick the entry point that fits, and combine as you grow

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<500msAverage latency

High-Quality Token Factory

One endpoint, the full model lineup on demand

OpenAI-compatible. One API key reaches every major model. Under 500 ms average latency, 99.9%+ monthly availability, 300+ billion tokens per day.

Full coverage: DeepSeek / GLM / Kimi / MiniMax / Qwen
Migrate by changing endpoint and API key — zero rework
Full operations dashboard with automatic failover

View model catalog

2weeksFastest delivery

Private Deployment & Post-Training

Data stays in your domain, models fit your business

On-premise deployment of open models, industry fine-tuning, and domestic-stack adaptation — training and inference data never leave your security boundary.

Domestic stack: compatible across domestic chips and operating systems
Post-training, LoRA adaptation, and knowledge distillation
Live in as little as 2 weeks, from environment setup to launch

See deployment options

from1hourMinimum rental

GPU Hourly Rental

Elastic compute, billed by the hour

H100, A100 and domestic accelerators on demand. Scale for a training peak and release when the project ends — no procurement cycle, no idle hardware.

Billed by the hour, starting from one hour
H100 / A100 / domestic accelerators available
High-speed storage and interconnect ready out of the box

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↓30%+Lower inference cost

DengCloud Platform

In-house inference engine × heterogeneous scheduling

An in-house inference engine lowers the cost per unit of compute, while heterogeneous scheduling turns scattered accelerators into a standardized, programmable service.

Dynamic batching / KV cache optimization / multi-GPU parallelism
Unified scheduling across domestic and mainstream multi-generation GPUs
One interface across the full model lineup, transparent to models and chips

Explore the architecture

Figures below come from production statistics on the DengCloud platform and have been reviewed with our product and engineering teams.

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<500ms

Average response latency

99.9%+

Monthly availability

300B+

Tokens processed daily

↓30%+

Lower inference cost

↑85%

Higher GPU utilization

Technical foundation

Engineering Depth

An in-house inference engine and heterogeneous scheduling, with unit cost and stability that can be independently verified

In-house inference engine

Dynamic batching, KV cache optimization, and multi-GPU parallelism deliver high-throughput, low-latency inference — 30%+ lower inference cost and 85% higher GPU utilization than a conventional forwarding setup.

Heterogeneous scheduling platform

Unified scheduling across chip architectures, supporting domestic and mainstream multi-generation GPUs. Automatic failover and load balancing sustain 99.9%+ monthly availability.

Open platform architecture

An OpenAI-compatible API with a consistent account and billing model, so business teams integrate once instead of rebuilding per model vendor.

Metering and billing engine

Built in-house rather than wrapped around a vendor counter, so usage is attributable per project and every line on a bill can be independently verified.

Solutions

Industry Solutions

Deep focus on manufacturing, the public sector, and global expansion — find the scenario closest to yours

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Manufacturing & Research

Elastic compute for simulation and AI inspection

Pain points

Simulation and model training need peak capacity, but building a cluster takes months and sits idle the rest of the year.
AI inspection and equipment maintenance need several models working together; a single model cannot solve the business problem.

Our approach

Rent GPU hours for the project cycle. Scale up for simulation and training peaks, release at the end, and never pay for idle hardware.

↑60%Faster simulation↓35%Annual compute cost3×Faster experiment cycles

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Government & Regulated

Data residency with a full domestic stack

Pain points

Data is sensitive and compliance requirements are strict, so models cannot run in an uncontrolled public environment.
Domestic-stack mandates require domestic chips and operating systems, and general-purpose solutions are often incomplete.

Our approach

Models run in your own data center or a designated isolated environment, with training and inference data never crossing the security boundary.

100%Data residencyLevel3Compliance level2weeksStandard delivery

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Global Expansion

Multi-region nodes with low cross-border latency

Pain points

Overseas users hitting domestic nodes see high latency, and the poor experience costs conversions.
Cross-border settlement and compliance are complex, requiring auditable usage and billing.

Our approach

Route to the nearest optimal node to cut cross-border latency and support a global user experience.

<200msAPI response latency70%Customers serving overseas99.9%+Monthly availability

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Case Studies

Compute service deployments across manufacturing, government, e-commerce, finance, healthcare, and education

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ManufacturingGPU Hourly Rental

A leading auto parts supplier

Simulation efficiency up 60%, annual compute cost down 35%

↑60%Simulation efficiency↓35%Annual compute cost↑85%GPU utilization

Read the case study

GovernmentPrivate Deployment & Post-Training

A provincial government LLM project

Full domestic-stack adaptation, data never left the domain, MLPS compliance certification achieved

100%Data residencyLevel3Compliance level2weeksDelivery time

Read the case study

E-commerceToken Factory

A cross-border e-commerce platform

Global multi-region deployment with API response latency under 200 ms

<200msAPI latency70%Overseas users99.9%+Monthly availability

Read the case study

FAQ

The four questions customers ask before choosing us

If your question is not answered here, contact us directly — our team responds within one business day.

Talk to Our Team

Can the three business lines be combined?

Yes. A typical path is to validate business value with the Token Factory first, then move core models into private deployment, and run training and batch workloads on GPU hourly rental. All three share one account, one metering system, and one bill.

Where does the cost and latency advantage come from?

We build our own inference engine and connect directly to model providers’ compute, using dynamic batching, KV cache optimization, and heterogeneous scheduling to raise output per unit of compute. That is what lets us offer lower latency and lower unit cost at the same time.

How are data security and compliance handled?

DengCloud is certified under CAICT’s Trusted Token Cloud Service program. With private deployment, model weights and business data stay inside your domain, meeting industry regulatory requirements. Token services provide full call logs and auditable billing.

Can we start with a small trial?

Yes. The Token Factory offers trial credits, GPU hourly rental starts from one hour, and private deployment can begin with a single-scenario proof of concept that includes a measured benchmark on your target hardware before you commit to a full rollout.

News

Product launches, certifications, partnerships, and industry perspectives

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2026-03-15Certification

Dengjia certified under CAICT Trusted Token Cloud Service, among the first nationwide

The certification evaluates metering accuracy, billing transparency, service availability, and data security.

2026-01-20Partnership

Dengjia and Tencent Cloud announce strategic cooperation on industry AI compute

The two companies will work together on compute infrastructure and channel reach for industry AI.

2025-07-01Product

DengCloud platform goes live with its first customers onboarded

The platform provides Token Factory access, GPU hourly rental, and private deployment in one place.

Not sure which product to start with?

Most customers validate business value with the Token Factory first, then move core models into private deployment and run training and batch workloads on GPU hourly rental.

Browse solutions by industry

Start building on industrial compute

Whether it is Token Factory access, private deployment, or GPU rental, we cover the full path in one place

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