vllm

vLLM (Production Local Serving)

vLLM is a high-throughput, memory-efficient serving engine for LLMs, utilizing PagedAttention to optimize Video RAM usage.

🚀 Key Specs (2026 Update)

• Primary Strength: High-throughput throughput with PagedAttention and FP8/INT8/INT4 support.
• Hardware Tier: Linux-first production deployments (NVIDIA GPUs / ROCm).
• Core Technology: Optimized for bulk processing and concurrent request handling.

🗝 Link to GitHub

1. Visit vLLM GitHub.
2. Follow installation for Linux or use Docker.
3. Start a server with python -m vllm.entrypoints.openai.api_server.

🛠 Usage Example (OpenAI SDK)

import openai
 
client = openai.OpenAI(base_url="http://localhost:8000/v1")
response = client.chat.completions.create(
    model="meta-llama/Llama-3.1-70B",
    messages=[{"role": "user", "content": "How does PagedAttention work?"}]
)
print(response.choices[0].message.content)

🔗 Official Links

• vLLM.ai
• Documentation