{
  "server": {
    "name": "AI Server RTX 2060",
    "version": "1.0",
    "description": "Локальный AI сервер оптимизированный для RTX 2060",
    "installation_date": "2024-12-22"
  },
  
  "hardware": {
    "gpu": {
      "model": "RTX 2060",
      "vram_gb": 6,
      "cuda_cores": 1920,
      "recommended_batch_size": 8,
      "max_context_length": 4096,
      "memory_fraction": 0.8
    },
    "system": {
      "min_ram_gb": 16,
      "recommended_ram_gb": 32,
      "min_storage_gb": 50
    }
  },
  
  "ollama": {
    "host": "0.0.0.0",
    "port": 11434,
    "keep_alive": "24h",
    "num_parallel": 2,
    "max_loaded_models": 2,
    "flash_attention": true,
    "gpu_memory_fraction": 0.8,
    "environment": {
      "CUDA_VISIBLE_DEVICES": "0",
      "OLLAMA_GPU_OVERHEAD": "0.2",
      "OLLAMA_NUM_PARALLEL": "2",
      "OLLAMA_MAX_LOADED_MODELS": "2",
      "OLLAMA_FLASH_ATTENTION": "1"
    }
  },
  
  "webui": {
    "port": 3000,
    "default_locale": "ru-RU",
    "enable_signup": true,
    "enable_login_form": true,
    "show_admin_details": false,
    "enable_community_sharing": false,
    "default_models": ["llama3.2:3b", "codellama:7b"],
    "model_filter_enabled": true
  },
  
  "models": {
    "recommended_for_rtx2060": [
      {
        "name": "llama3.2:1b",
        "size_gb": 1.3,
        "vram_usage_gb": 1.5,
        "description": "Быстрая модель для повседневных задач",
        "use_case": "Общие вопросы, быстрые ответы",
        "performance": "высокая",
        "quality": "хорошая"
      },
      {
        "name": "llama3.2:3b", 
        "size_gb": 2.0,
        "vram_usage_gb": 2.5,
        "description": "Оптимальная модель для RTX 2060",
        "use_case": "Сбалансированное качество и скорость",
        "performance": "средняя",
        "quality": "отличная"
      },
      {
        "name": "codellama:7b",
        "size_gb": 3.8,
        "vram_usage_gb": 4.2,
        "description": "Специализированная модель для программирования",
        "use_case": "Написание и анализ кода",
        "performance": "средняя",
        "quality": "отличная"
      },
      {
        "name": "mistral:7b",
        "size_gb": 4.1,
        "vram_usage_gb": 4.5,
        "description": "Универсальная модель высокого качества",
        "use_case": "Сложные задачи, анализ текста",
        "performance": "низкая",
        "quality": "превосходная"
      }
    ],
    
    "not_recommended": [
      {
        "name": "llama3:70b",
        "reason": "Требует более 40GB VRAM, не поместится в RTX 2060"
      },
      {
        "name": "codellama:34b", 
        "reason": "Требует более 20GB VRAM"
      }
    ]
  },
  
  "performance_tuning": {
    "rtx_2060_optimizations": {
      "batch_size": 8,
      "sequence_length": 2048,
      "attention_type": "flash_attention",
      "precision": "fp16",
      "gradient_checkpointing": true,
      "memory_efficient_attention": true
    },
    
    "system_optimizations": {
      "docker_memory_limit": "6G",
      "docker_cpu_limit": "4.0",
      "swap_usage": "minimal",
      "gpu_memory_growth": true
    }
  },
  
  "monitoring": {
    "gpu_thresholds": {
      "temperature_warning": 80,
      "temperature_critical": 90,
      "memory_warning": 90,
      "utilization_high": 95
    },
    
    "system_thresholds": {
      "cpu_warning": 80,
      "memory_warning": 85,
      "disk_warning": 90
    }
  },
  
  "networking": {
    "ports": {
      "webui": 3000,
      "ollama_api": 11434,
      "portainer": 9000,
      "grafana": 3001,
      "prometheus": 9090
    },
    
    "firewall_rules": [
      "ufw allow 3000/tcp comment 'AI Server Web UI'",
      "ufw allow 11434/tcp comment 'Ollama API'",
      "ufw allow 9000/tcp comment 'Portainer'"
    ]
  },
  
  "backup": {
    "important_paths": [
      "/opt/ai-server/config",
      "/opt/ai-server/data", 
      "/var/lib/docker/volumes/api-ai-server_open-webui-data"
    ],
    
    "backup_schedule": "daily",
    "retention_days": 7
  },
  
  "troubleshooting": {
    "common_issues": [
      {
        "issue": "GPU не обнаружен",
        "solution": "Проверить nvidia-smi, переустановить драйверы"
      },
      {
        "issue": "Нехватка VRAM",
        "solution": "Использовать меньшую модель или уменьшить batch_size"
      },
      {
        "issue": "Медленная работа",
        "solution": "Проверить температуру GPU, очистить систему"
      }
    ]
  }
}