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n of opportunity for everyone, rather than resisting it. Whether this lawsuit is the result of over-eager lawyers throwing their weight around, or a conscious strategy to gain leverage in our commercial discussions, we believe that this lawsuit is an unnecessary impediment to a larger and more valuable future for music. Why do we work to encourage originality? We do this because it makes for a more fun and engaging experience to create entirely original compositions on Suno. We do it because we

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tributors are doubling down to ensure vLLM is a fastest and easiest-to-use LLM inference and serving engine. To recall our roadmap, we focus vLLM on six objectives: wide model coverage, broad hardware support, top performance, production-ready, thriving open source community, and extensible architecture. In our objective for performance optimization, we have made the following progress to date: Publication of benchmarks Published per-commit performance tracker at perf.vllm.ai on our public bench

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