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Model Production
A one-stop model production platform covering domain fine-tuning, automated evaluation, and elastic deployment. With highly available, observable MLOps infrastructure, achieve rapid delivery from model R&D to service.
Three-Stage Model Workflow
Fine-tuning · Evaluation · Deployment, end-to-end integration, deeply optimized at every stage
1Model Fine-tuning
Perform instruction alignment and preference optimization on foundation models using high-quality domain datasets.
2Model Evaluation
Automated benchmark testing and multi-dimensional metric evaluation to scientifically select the optimal model version.
3Model Deployment
Model quantization, compression, and high-performance inference, delivering high-throughput, low-latency, auto-scaling inference services.
Model Production Core Features Breakdown
Fine-tuning, evaluation, and deployment — every aspect designed for production efficiency and model quality
Model Fine-tuning
Make your model understand your business. Small data, low cost — quickly obtain domain-specific models
Data Preparation
Support JSON, CSV, Parquet and other mainstream formats. Built-in data cleaning and format validation ensure training data quality.
Multiple Fine-tuning Strategies
Support LoRA/QLoRA, full fine-tuning, instruction tuning, and RLHF to adapt to different cost and effectiveness objectives.
Checkpoint Recovery
Automatically save state on training interruption and resume from checkpoint, avoiding wasted compute resources.
Model Version Management
Each fine-tuning generates an independent version. Support version comparison, rollback, and A/B testing.
Model Evaluation
Let data speak. Multi-dimensional metrics and automated benchmarks ensure every iteration is evidence-based
Multi-Dimensional Metrics
Automatically run evaluation sets and output BLEU, ROUGE, accuracy and other multi-dimensional metrics to quantify model performance.
Mainstream Benchmarks
Built-in MMLU, C-Eval, GSM8K and other mainstream benchmarks — evaluate model capability boundaries with one click.
Multi-Version Comparison
Different fine-tuning strategies and model versions compete side by side, supporting both human annotation and model-judge dual-channel comparative evaluation.
Visual Evaluation Reports
Automatically generate structured evaluation reports covering capability distribution and Bad Case analysis to support deployment decisions.
Model Deployment
Deploy immediately after training. High-performance inference services with elastic scaling — deliver model value to every user
Standardized API
OpenAI-compatible interface — switch models with a single line of code. Full coverage of Chat Completions, Embeddings, and more.
High Concurrency, Low Latency
Distributed inference architecture with automatic node scheduling ensures stable low-latency responses under high concurrency.
Streaming Output
Real-time streaming via Server-Sent Events — users see generated content instantly. Smooth experience for chat and text continuation scenarios.
Usage Monitoring
Real-time monitoring of call volume, token consumption, latency distribution, and error rates with multi-dimensional statistical analysis.
Built for Every Model Producer
Whatever your team size and goals, find an end-to-end model production solution here
AI Startup Teams
Fine-tune pre-trained models for niche scenarios, quickly launch and validate PMF. No need to build your own cluster — go from prototype to product in a few steps.
Enterprise Private Deployment
Fine-tune exclusive models with enterprise data and deploy as internal APIs. Data never leaves your domain, models remain fully controllable.
Academic Research
Validate new architectures and methods at low cost. Pay-as-you-go elastic compute, automated experiment tracking, and efficient paper reproducibility.
Multi-Model Service Providers
Manage multiple foundation models + vertical fine-tuned versions simultaneously. Unified API gateway with automatic routing and load balancing.
End-to-End Applications
From training industry-specific models from scratch → domain fine-tuning → API deployment — all in one flow, focusing on application-layer innovation.
Model Evaluation Platforms
Batch fine-tuning + automated evaluation + A/B inference comparison. Systematically validate different strategies to identify the optimal model.
Ready to Build Your Own Model?
Contact us today to get a custom model production solution and pricing