Kubernetes stumbles when GPUs break down in AI/ML work. Why? It clings to static resource guesses and lacks strong tools to handle crashes. Despite this, developers flock to Kubernetes for its bustling ecosystem. Sure, DIY hacks can patch some holes. But let's be honest—complex workloads deserve smarter Kubernetes extensions to wrangle device failures.
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