Foundation · architecture
Why Kubernetes for generative AI
You will be able to defend the choice of Kubernetes for an LLM workload — and explain what changes when the workload is a 30 GB model.
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0 / 3 lessons
- 01Why Kubernetes for generative AIWhat changes when the workload is a 30 GB model behind an API4 min
- 02The generative AI workload lifecycleFrom a model on Hugging Face to a paying customer's request4 min
- 03Containers, pods, nodes for AI workloadsWhat standard Kubernetes already gets right — and where it breaks3 min
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Bursty LLM inference endpoint
Serve a 13B chat model behind a public API. Traffic doubles in 30s twice a day. Cold start is 4 minutes.
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