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AI & LLM Engineering · OpenAI · By vllm-project
5 skills found.
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Run vLLM performance benchmark using synthetic random data to measure throughput, TTFT (Time to First Token), TPOT (Time per Output Token), and other key performance metrics. | vllm-project/ | 102 | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 2 | Benchmark vLLM or OpenAI-compatible serving endpoints using vllm bench serve. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 3 | Deploy vLLM to Kubernetes (K8s) with GPU support, health probes, and OpenAI-compatible API endpoint. | vllm-project/ | 102 | — | ~2k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 4 | Quick install and deploy vLLM, start serving with a simple LLM, and test OpenAI API. | vllm-project/ | 102 | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | 6 mo ago |
| 5 | Deploy vLLM using Docker (pre-built images or build-from-source) with NVIDIA GPU support and run the OpenAI-compatible server. | vllm-project/ | 102 | — | ~2.5k | Automated safety check: Notes | Apache-2.0 | 6 mo ago |