End-to-end Encryption, MLPS 2.0 Compliant

Enterprise Private LLM Platform

Data Security · Performance Excellence · Flexible Control

Support latest open-source LLMs (Llama3.1 405B, Qwen2.5 72B, DeepSeek-V3 671B, GLM-4, etc.) with one-stop solutions for private deployment, LoRA/QLoRA fine-tuning, inference acceleration, and API services

99.9%
Post Fine-tuning Accuracy 98%+
50ms
Inference Latency <100ms
256
Military-grade AES-256 Encryption

Core Technical Advantages

Multi-Model Support

Multi-Model Support

Support Llama3.1, Qwen2.5, DeepSeek-V3, GLM-4, Mistral and other mainstream open-source models with flexible switching

Inference Acceleration

Inference Acceleration

vLLM + FlashAttention2 + Quantization (INT8/INT4), 3-5x throughput increase, 70% cost reduction

Efficient Fine-tuning Framework

Efficient Fine-tuning Framework

Support LoRA/QLoRA/P-Tuning v2, train 70B models on single GPU, 90% fine-tuning cost reduction

Private & Secure Deployment

Private & Secure Deployment

Support on-premise/private cloud/hybrid cloud deployment, data stays within internal network, compliant with MLPS 2.0/GDPR/HIPAA

Enterprise Application Scenarios

Domain-Specific LLMs

Customized models for finance/healthcare/legal/manufacturing verticals, 20-40% accuracy boost

  • •Domain Knowledge Injection (LoRA Fine-tuning)
  • •Professional Terminology Understanding
  • •Compliance Risk Control
  • •Continuous Iteration & Optimization
  • •Multi-language Support (CN/EN/JP/KR)

Intelligent Dialogue Assistant

Enterprise dialogue system with context memory, multi-turn conversations, intent recognition, <100ms response latency

  • •Multi-turn Dialogue Management (100+ turns)
  • •Long Context Understanding (128K tokens)
  • •Function Calling Tool Integration
  • •Streaming Output for Lower First-Token Latency
  • •Sentiment Analysis & Personalization

Code Generation Assistant

Support 40+ programming languages, 85%+ code generation accuracy, automatic unit test generation

  • •Code Completion & Generation
  • •Code Review & Optimization Suggestions
  • •Automated Unit Test Generation
  • •Bug Detection & Fixing
  • •Technical Documentation Auto-generation

Complete Deployment Process

1

Requirements & Solution Design

Evaluate business scenarios, data scale, performance requirements, recommend optimal model architecture (7B/13B/70B/400B)

2

Infrastructure Preparation

GPU server selection (A100/H100/Ascend 910), Kubernetes cluster setup, monitoring & alerting configuration

3

Model Deployment & Optimization

Model quantization (INT8/INT4), vLLM inference acceleration, multi-replica load balancing, TPS reaching 1000+

4

Data Preparation & Fine-tuning

Enterprise data cleaning & annotation, LoRA/QLoRA fine-tuning training, RLHF reinforcement learning

5

Testing & Evaluation

Functional testing, performance stress testing, security penetration testing, accuracy evaluation (BLEU/ROUGE/BERTScore)

6

Go-live & Operations Support

Gradual rollout, full launch, 7x24 monitoring, continuous model optimization, version management

Deploy Your Dedicated LLM

Free POC validation with professional technical consulting and deployment support