Agents need good developer experience too

The text provides a guide on setting up a container image for running a server environment optimized for vLLM, which can be installed using pip due to the availability of CUDA drivers provided by Modal. The setup involves using the NVIDIA CUDA 12.8.0 development image based on Ubuntu 22.04, with Python 3.12, to benefit from optimized kernels. It details the installation of necessary packages such as vLLM, huggingface_hub with HF transfer enabled, flashinfer, and PyTorch via an extra Python package index. This configuration aims to enhance performance through optimized CUDA kernel use and facilitate faster model transfers by enabling specific environment variables.

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