Write README and front page of doc (#147)

docs/source/index.rst

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 Welcome to vLLM!
 ================
 
-vLLM is a high-throughput and memory-efficient inference and serving engine for large language models (LLM).
+**vLLM** is a fast and easy-to-use library for LLM inference and serving.
+Its core features include:
+
+- State-of-the-art performance in serving throughput
+- Efficient management of attention key and value memory with **PagedAttention**
+- Seamless integration with popular HuggingFace models
+- Dynamic batching of incoming requests
+- Optimized CUDA kernels
+- High-throughput serving with various decoding algorithms, including *parallel sampling* and *beam search*
+- Tensor parallelism support for distributed inference
+- Streaming outputs
+- OpenAI-compatible API server
+
+For more information, please refer to our `blog post <>`_.
+
 
 Documentation
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