Enterprise Private LLM Platform

Enterprise Private LLM Platform

Support Llama 3.1/Qwen2.5/DeepSeek-V3 and other mainstream open-source models with full-stack solutions for private deployment, fine-tuning, and inference acceleration

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Core Technical Advantages

Core Technical Advantages

01

Multi-Model Support

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

02

Inference Acceleration

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

03

Efficient Fine-tuning Framework

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

04

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

Enterprise Application Scenarios

01

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)

02

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

03

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

Complete Deployment Process

01

Requirements & Solution Design

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

02

Infrastructure Preparation

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

03

Model Deployment & Optimization

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

04

Data Preparation & Fine-tuning

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

05

Testing & Evaluation

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

06

Go-live & Operations Support

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

Supported Models

支持的开源模型家族

Llama 3.xQwen 2.xDeepSeek V3 / R1GLM-4MistralGemmaYiBaichuan

Deploy Your Dedicated LLM

Free POC validation with professional technical consulting and deployment support

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