Next-Gen AI Infrastructure Platform

Unleash Maximum Intelligence from Every Compute Unit

MaaS Service · Model Production · Job Platform · Dedicated Instances · Compute Hosting

Extreme Performance · Extreme Cost · Extreme Experience

Model Plaza

Access the world's cutting-edge open-source and proprietary models — deploy with one click, call instantly

Live
Cache/1M
¥0.025
Input/1M
¥3
Output/1M
¥6
1M ContextReasoningCode generation
Live
Cache/1M
¥1.3
Input/1M
¥6
Output/1M
¥28
200K ContextWeb searchTool callingChinese-optimized
Live
Cache/1M
¥2
Input/1M
¥8
Output/1M
¥28
1M ContextWeb searchTool callingChinese-optimized
Live
LTX-2.3VIDEO
480P/s
¥0.13
720P/s
¥0.27
1080P/s
¥0.68
Text-to-VideoImage-to-VideoCreative writing
Live
Cache/1M
Input/1M
¥6
Output/1M
¥18
128K ContextReasoningTool callingCode generation
Live
Input/1M
¥1.6
Output/1M
¥6.4
128K ContextTool callingCode generation

Full coverage of mainstream models — one API Key for all modalities

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first_call.pyCopy
from openai import OpenAI
client = OpenAI(base_url="https://api.tokenfab.cn/v1", api_key="use your api_key")
resp = client.chat.completions.create(model="glm-5.2",
    messages=[{"role": "user", "content": "hello, TokenFab"}])
print(resp.choices[0].message.content)
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Compute Service

Elastic, reliable, secure compute foundation — from shared inference to dedicated clusters, covering all compute scenarios

Online12d 04hPhysical IsolationEXCLUSIVE NODE99%87%72%91%GPU8 × GPUGPU Memory96 GB × 8InterconnectNVLink 400GStorageNVMe 30 TBRentalPer GPU / Full Rack12ms99.99%7×24

Dedicated Instances

Physically isolated, exclusive compute instances with dedicated, non-shared resources, meeting security compliance and performance stability requirements. GB300 NVL72 full racks available for lease.

Physical IsolationDedicated Compute
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MaaSBankingHealthcareEducationManufacturingRetailAutonomousSoftware DeploymentCompute ManagementUnified Scheduling

Compute Hosting

MaaS software can be flexibly deployed to enterprise-owned data centers. Enterprises use the platform as elastic resources while also contributing idle compute to unified scheduling.

Software DeploymentCompute ManagementUnified Scheduling
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Level 3 CertificationPhysical Data Isolation99.99% SLA Commitment24/7 Dedicated Support

Model Production

From distributed training and no-code fine-tuning to model deployment, our workbench covers the full model production workflow

Upload Domain DataGeneral Base Modelqwen-70b-baseParams70BSize140 GB100%LoRAOnly 0.01%8M16 MBDomain ModelSupport, Medical, Edu.DeployInference APILoRASFTRLHF/DPO

Model Fine-tuning

No-code fine-tuning workbench, LoRA / SFT / RLHF fully supported. Upload data, start training, deploy fine-tuned models to inference service with one click.

LoRASFTRLHF/DPONo-Code
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Customer Service Eval2,400 / 3,030 Samples · Multi-DimAccuracy87Fluency92Relevance84Safety95Overall Score89.5↑ 18Pass Rate94.2%/ Industry Base 78%

Model Evaluation

Automated evaluation system with multi-dimensional scoring (Accuracy / Fluency / Relevance / Safety), quantify improvements against base models, generate evaluation reports.

Multi-Dim ScoringBaseline CompareReport ExportA/B Testing
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qwen-70b-customerRunning4 / 8 Replicas · North Node · Auto-scalingUserRequestLBActiveInference Instance 1North98%ActiveInference Instance 2East96%QPS2,840P99 Latency12msAvailability99.99%SLA

Model Deployment

Deploy trained or fine-tuned models online with high-performance API access. Millisecond latency, automatic elastic scaling.

High-Concurrency APIAuto ScalingStreaming OutputMulti-Model
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