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llm-inference-scaling

Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle traffic spikes, implement queue-based scaling, and optimize cost with spot instances for AI workloads.

BagelHole
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BagelHole
์—…๋ฐ์ดํŠธ๋จ 2026. 3. 2.
์Šคํƒ€
18
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2
quick start

Installation and usage

Auto-scale LLM inference clusters on Kubernetes using KEDA, custom GPU metrics, and horizontal pod autoscaling. Handle traffic spikes, implement queue-based scaling, and optimize cost with spot instances for AI workloads.

์„ค์น˜
$ install --globalskills.sh
์‚ฌ์šฉ๋ฒ•

์„ค์น˜ ํ›„ ํ„ฐ๋ฏธ๋„์—์„œ ๋‹ค์Œ ๋ช…๋ น์„ ์‹คํ–‰ํ•˜์—ฌ ์ด ์Šคํ‚ฌ์„ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค:

skills use llm-inference-scaling