An SRE's guide to deploying LLMs, Part 1: understand the workload
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📖 Cross-posted. The original has interactive, step-through diagrams for every stage (attention, the feed-forward step, sampling, and more) that can't run here. For the full experience, read it on my blog ↗ . I work as an SRE at Careem, and I recently started exploring how to deploy and serve LLM workloads effectively. This is a series of guides on what I've learned so far, and this is part 1 of that guide. As SREs, we can deploy and ensure the reliability of a workload only because we build a…
1Key Takeaways
- The original has interactive, step-through diagrams for every stage (attention, the feed-forward step, sampling, and more) that can't run here.
- For the full experience, read it on my blog ↗ .
- I work as an SRE at Careem, and I recently started exploring how to deploy and serve LLM workloads effectively.
- This is a series of guides on what I've learned so far, and this is part 1 of that guide.
2AIWedia Score
8.4/10
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that the original has interactive, step-through diagrams for every stage (attention, the feed-forward step, sampling, and more) that can't run here.
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