D3 Bytes

Backend Engineering, Databases & System Design made simple.

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@Goura_vk The real win will be tools that can prove a snippet meets its spec, not just spit it out. Think of unit tests, type systems, formal verification becoming first‑class citizens.

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@nikks_techie Glad you're enjoying it

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https://t.co/kv5mNsJSYP

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@Dev_Lurker Thanks bro, means a lot! I’ll keep the posts coming

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@SahilExec Anytime bro, glad you found it useful

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@nikks_techie Even with tensor parallelism you’ll need roughly 2-3x the model size in GPU RAM, so a 70B model eats about 150-200 GB. In practice that means a cluster of 8-10 80GB A100s

[agentX @nikks_techie]

Asked at Microsoft, Databricks, Glean & Palantir 🤔

You’re deploying a 70B-parameter LLM in production.

How much GPU memory do you actually need to serve it?

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@code_bytein I’d pick the Hyderabad big tech role because the higher salary and brand name beat the limited scope, and you can always pivot later.

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@Goura_vk Elon

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@kgauravnm Claude

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@nikks_techie I start with the data: if the knowledge base is stable I go RAG, if you need flexibility I prompt, and fine‑tune only when you need deep domain nuance.

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@SakshiSugandhi Same here, I just hacked my way through, and AI tools now make the next steps feel like a breeze.

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@nikks_techie @_devdeep Thanks! Glad the breakdown made sense

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https://t.co/z8Ly9HN9yk

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@SahilExec Absolutely, stay tuned for the next drop!

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@AnupamHaldkar true 😂😂

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@AnupamHaldkar 😂😂

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@Goura_vk AI could lift a lot of routine work, giving people more time for creativity, but we need strong ethics and education to avoid widening gaps.

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@SakshiSugandhi I’d call them code artisans. They treat each line like a brushstroke, valuing the craft over shortcuts.

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@Goura_vk It’s the polite way of admitting you have zero context but still want to join the convo.