Enterprise Private LLM Training Solution
Beta LLM Private Training Suite
One-stop private LLM training factory achieving complete data-to-application end-to-end pipeline with data security and autonomy.
Background
Large models have become the new infrastructure for various industries, but enterprises face two major challenges:
Data Security & Compliance
Core business and privacy data cannot be uploaded to public clouds, even desensitization may not be accepted by regulators.
Training Cost & Technical Barriers
Training demands extremely high compute, GPUs are expensive and scarce, lacking an engineering system from data to deployment.
Under this background, private training platforms deployed in enterprise data centers based on proprietary chips have become the strategic choice for leading institutions.
Solution Content
This is a 'one-stop private LLM training factory', the platform includes from bottom to top:
Computing Infrastructure
Dedicated training cluster based on proprietary training chips and high-density servers, supporting linear scaling from dozens to thousands of cards, deliverable by rack, cage, or zone.
Training Engineering
Unified training scheduling and management platform supporting PyTorch, DeepSpeed, Megatron, with built-in data cleaning, annotation, distributed training, mixed precision, and checkpoint recovery.
Model Operations
Provides evaluation and comparison tools, SFT/LoRA management, version rollback, canary release, and one-click deployment to inference clusters or API services, achieving 'data→model→application' end-to-end pipeline.
The entire solution is deployed in enterprise or partner networks, with clear data and model ownership, auditable processes, ensuring autonomy and compliance security.
Key Advantages
Let data speak — let results be visible
System Availability
Enterprise-grade high availability
Cost Reduction
Compared to public cloud GPU costs
Training Acceleration
Distributed parallel optimization
Data Autonomy
Full control with private deployment
Technical Capabilities
Deep technical capabilities powering your business
Security & Compliance
Data never leaves enterprise network, meeting requirements of highly regulated industries
High Performance
Based on proprietary training chips, supports thousand-card cluster linear scaling
Complete Toolchain
One-stop platform from data prep to deployment, significantly lowering technical barriers
Continuous Evolution
Supports model versioning, A/B testing, canary release for business continuity
Target Industries
This solution is designed for the following industries and use cases
Finance
Government
Manufacturing
Healthcare
Energy
Telecom
Research
Implementation Process
Expert-guided implementation ensuring seamless project delivery
Requirement Analysis
Deep dive into business scenarios, data scale, computing needs and compliance requirements
Solution Design
Design hardware configuration, network topology, storage architecture and software platform
Environment Setup
Deploy hardware, configure network, install training platform software
POC Validation
Training tests with real data to validate performance and effectiveness
Training & Delivery
Team training, documentation delivery, ongoing technical support
FAQ
Common questions answered
Main advantages: 1) Data security - core data never leaves enterprise network; 2) Cost control - lower long-term costs; 3) Autonomy - not restricted by third-party services; 4) Customization - deep optimization for industry characteristics.
Depending on business needs, minimum configuration starts from 8 cards for small-scale fine-tuning, standard configuration recommends 64-128 cards for industry model training, large-scale scenarios can scale to thousands of cards. We provide reasonable configuration recommendations based on your specific needs.
Full support for mainstream frameworks including PyTorch, TensorFlow, DeepSpeed, Megatron-LM, with deeply optimized versions for proprietary chips ensuring best performance. Also supports HuggingFace ecosystem for seamless use of open-source models.
Standard projects take approximately 9-14 weeks from requirement analysis to official delivery. Specific time depends on cluster scale, data center conditions and customization needs. We offer fast deployment solutions that can be shortened to 6-8 weeks with existing data center infrastructure.
Want to Learn More?
Connect with us for a tailored solution consultation and technical support