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‎packages/2025-06-11-kubecon-hk/slides.md‎

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# Datasets vs Docker: Flexibility Matters
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<span>Why writable persistent environments win for data science</span>
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<div mt-6 />
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<div flex>
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>
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<div bg="cyan-800/40" px-4 py-2 flex items-center>
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<div i-devicon:docker text-xl mr-2 />
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<span font-bold>Docker Approach</span>
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</div>
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<div px-4 py-3>
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<div font-mono text-xs bg="black/30" rounded-lg p-2>
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<div># Need to add a dependency? Rebuild the entire image</div>
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<div class="text-cyan-400">FROM nvidia/cuda:11.8.0-base-ubuntu22.04</div>
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<div>RUN apt-get update && apt-get install -y python3-pip</div>
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<div>COPY requirements.txt .</div>
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<div>RUN pip install -r requirements.txt</div>
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<div>COPY . .</div>
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<div class="text-red-400"># Immutable after build - can't easily modify</div>
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</div>
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<div mt-3 bg="red-900/30" rounded-lg p-3 flex flex-col gap-2>
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<div flex items-center gap-2>
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<div i-carbon:time text-red-300 />
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<span text-sm>30+ minutes to rebuild for one new package</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:locked text-red-300 />
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<span text-sm>Read-only runtime limits dynamic ML tools</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:switch text-red-300 />
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<span text-sm>One container = one environment</span>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div flex-1 pl-4>
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<div
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border="2 solid green-800" bg="green-800/20"
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rounded-lg overflow-hidden
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>
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<div bg="green-800/40" px-4 py-2 flex items-center>
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<div i-carbon:data-volume text-green-300 text-xl mr-2 />
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<span font-bold>Dataset CRD Approach</span>
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</div>
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<div px-4 py-3>
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<div font-mono text-xs bg="black/30" rounded-lg p-2>
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<div class="text-green-400"># Mount pre-built environments as needed</div>
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<div>volumes:</div>
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<div>- name: pytorch-env</div>
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<div> persistentVolumeClaim:</div>
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<div> claimName: pytorch-2.1-env</div>
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<div class="text-green-400"># Need another env? Just mount another PVC</div>
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<div>- name: pytorch-nightly-env</div>
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<div> persistentVolumeClaim:</div>
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<div> claimName: pytorch-nightly-env</div>
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</div>
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<div mt-3 bg="green-900/30" rounded-lg p-3 flex flex-col gap-2>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Add packages on-the-fly in seconds</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Writeable PVCs support all ML workflows</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Switch multiple environments simultaneously</span>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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class: py-10
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---
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# Datasets vs Docker: Flexibility Matters
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<span>Why writable persistent environments win for data science</span>
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<div mt-6 />
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<div flex>
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<div flex-1 pr-4>
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<div
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border="2 solid cyan-800" bg="cyan-800/20"
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rounded-lg overflow-hidden
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>
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<div bg="cyan-800/40" px-4 py-2 flex items-center>
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<div i-devicon:docker text-xl mr-2 />
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<span font-bold>Docker Approach</span>
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</div>
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<div px-4 py-3>
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<div font-mono text-xs bg="black/30" rounded-lg p-2>
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<div># Need to add a dependency? Rebuild the entire image</div>
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<div class="text-cyan-400">FROM nvidia/cuda:11.8.0-base-ubuntu22.04</div>
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<div>RUN apt-get update && apt-get install -y python3-pip</div>
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<div>COPY requirements.txt .</div>
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<div>RUN pip install -r requirements.txt</div>
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<div>COPY . .</div>
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<div class="text-red-400"># Immutable after build - can't easily modify</div>
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</div>
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<div mt-3 bg="red-900/30" rounded-lg p-3 flex flex-col gap-2>
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<div flex items-center gap-2>
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<div i-carbon:time text-red-300 />
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<span text-sm>30+ minutes to rebuild for one new package</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:locked text-red-300 />
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<span text-sm>Read-only runtime limits dynamic ML tools</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:switch text-red-300 />
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<span text-sm>One container = one environment</span>
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</div>
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</div>
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</div>
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</div>
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</div>
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<div flex-1 pl-4>
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<div
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border="2 solid green-800" bg="green-800/20"
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rounded-lg overflow-hidden
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>
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<div bg="green-800/40" px-4 py-2 flex items-center>
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<div i-carbon:data-volume text-green-300 text-xl mr-2 />
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<span font-bold>Dataset CRD Approach</span>
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</div>
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<div px-4 py-3>
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<div font-mono text-xs bg="black/30" rounded-lg p-2>
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<div class="text-green-400"># Mount pre-built environments as needed</div>
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<div>volumes:</div>
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<div>- name: pytorch-env</div>
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<div> persistentVolumeClaim:</div>
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<div> claimName: pytorch-2.1-env</div>
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<div class="text-green-400"># Need another env? Just mount another PVC</div>
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<div>- name: pytorch-nightly-env</div>
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<div> persistentVolumeClaim:</div>
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<div> claimName: pytorch-nightly-env</div>
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</div>
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<div mt-3 bg="green-900/30" rounded-lg p-3 flex flex-col gap-2>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Add packages on-the-fly in seconds</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Writeable PVCs support all ML workflows</span>
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</div>
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<div flex items-center gap-2>
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<div i-carbon:checkmark-outline text-green-400 />
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<span text-sm>Switch multiple environments simultaneously</span>
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</div>
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</div>
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</div>
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</div>
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</div>
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</div>
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