Nav

COO at Digital Storm | High-Performance Workstations, AI Compute & PC Hardware Infrastructure

[Nav @DigitalNav]

@nonnbiri_maru Thunderbolt would make it much easier to fit into an existing desk setup.

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@Morrowmake What’s eating it all? I keep thinking I’ve built in enough headroom, then someone’s workload finds a way to use every last bit.

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@niklaslenz_ai The upgrade cycle is moving faster than most people’s budget.

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@rickmanelius That split makes sense: keep local inference for the work that fits, and reach for a frontier model when it doesn’t.

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@volatilemarkts @ashxhart I’m curious how much of that shows up in real model runs once you include the overhead of splitting work across devices.

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@sudoingX This is the part I wish more build guides covered: what can you upgrade later, and what forces a whole new build?

The VRAM-per-dollar comparison should be useful.

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A model fitting in GPU memory is only the starting point for sizing local AI.

Longer documents and simultaneous requests need additional KV cache capacity. Quantizing the weights frees memory, but doesn’t automatically shrink that cache.

Test the workload your team will actually run.

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@ItsmeAjayKV “I’ll add more later” has a way of becoming the most annoying sentence in a build.

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@sudoingX First questions would be what runs on it today, how painful deployment is, and who handles a failed unit. Purchase price is only part of what we have to build around.

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@TechMDAI Makes buying hardware a lot less of a guessing game.

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@MatthewBerman I think setup is still underrated. People should get one useful thing done before we ask them to connect their entire digital life.

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@MehdiHacks The family legacy now includes a cable budget.

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@Sentdex What was prefill before adding the card?

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It's crazy that now a RTX 5090 costs what an RTX Pro 6000 did when it launched.

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@TechMDAI There are some good deals on SSDs right now.

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@Hikari_07_jp Have you checked socket contact and cooler mounting pressure? I wouldn’t rule out the board yet.

If one or a few of the pins aren't contacted or seated properly, you can see this issue.

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@ashxhart How much of that extra bandwidth are you actually able to use?

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@jun_song Hardware gets called overpriced pretty quickly when everyone assumes their workload is the only one that matters.

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@sudoingX 4x RTX 5090

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@jvr0x Expensive hardware sitting there waiting on cables is painfully familiar 😂 What’s the first model you’re running once it’s hooked up?