DeepSeek AI Deployment Guide

DeepSeek AI Deployment Guide

1. Introduction

DeepSeek AI offers various models for natural language processing (LLMs) and speech synthesis (TTS). This guide provides a step-by-step deployment method for both local and cloud-based setups.

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2. Deploying DeepSeek LLM

2.1 Local Deployment (Using Docker & Hugging Face)

1. Prerequisites:

   • NVIDIA GPU with CUDA support
   • Docker installed
   • Python 3.8+
   • transformers and torch libraries

2. Using Hugging Face Model

   pip install torch transformers
   

   from transformers import AutoModelForCausalLM, AutoTokenizer
   
   model_name = "deepseek-ai/deepseek-llm-67b"
   tokenizer = AutoTokenizer.from_pretrained(model_name)
   model = AutoModelForCausalLM.from_pretrained(model_name, device_map="auto")
   
   input_text = "Hello, how can I assist you?"
   inputs = tokenizer(input_text, return_tensors="pt").to("cuda")
   output = model.generate(**inputs)
   print(tokenizer.decode(output[0]))
   

3. Using Docker Container

   docker pull deepseekai/deepseek-llm
   docker run --gpus all -p 8000:8000 deepseekai/deepseek-llm
   

   Access via API at http://localhost:8000

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2.2 Cloud Deployment (Using AWS & GPU Cloud)

1. Choose a Cloud Provider: AWS, Google Cloud, Lambda Labs
2. Launch an Instance:
   • Select an A100 80GB or H100 GPU
   • Install CUDA and dependencies
3. Deploy DeepSeek LLM:
   • Use Docker or Hugging Face API for efficient inference

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3. Deploying DeepSeek TTS (Speech Synthesis)

3.1 Local Deployment

1. Install Dependencies:

   pip install deepseek-tts torchaudio soundfile
   

2. Run Text-to-Speech Conversion:

   from deepseek_tts import TTSModel
   
   model = TTSModel.load("deepseek-ai/deepseek-tts")
   audio = model.synthesize("Hello, welcome to DeepSeek AI!")
   with open("output.wav", "wb") as f:
       f.write(audio)
   

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3.2 Cloud Deployment

DeepSeek provides API endpoints for cloud-based TTS.

• Sign up for DeepSeek API Access
• Use HTTP requests for audio synthesis:

  curl -X POST "https://api.deepseek.ai/tts" \
       -H "Authorization: Bearer YOUR_API_KEY" \
       -d '{"text": "Hello, world!"}'
  

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4. Conclusion

DeepSeek AI provides scalable solutions for both LLM and TTS, deployable locally or on the cloud. Choose your method based on available hardware and project requirements. For more details, visit DeepSeek AI.