Crossing the threshold to dependable open source AI serving

When large open weight models first captured attention, the industry was faced with a challenge. Powerful open models were becoming available, but technologists lacked an open inference serving system that could run them efficiently. Having spent years building inference engines for CPUs, my team and I redirected all of our energy toward the vLLM project. Together with the community, vLLM capabilities expanded to become the de facto inference server. Today the vLLM project, now part of the PyTorch foundation, has…

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