/AI14h ago

Nvidia's $85,000 DGX Station draws developer skepticism over the economic viability of local AI self-hosting

The system targets local inference for trillion-parameter models.

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Original post

> coherent memory well… that's not exactly false, but… looks like a very good machine to run local DeepSeek-V4-Flash lol. In a few thousand years might pay back for itself. Definitely a joy to tinker on, though.

7:18 PM · Jun 7, 2026 · 37.6K Views
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Many users dismissed the Nvidia DGX Station as wildly overpriced at $85K with inadequate bandwidth and VRAM, mocking its value for local AI.

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Zephyr@zephyr_z9

$85k for 250 Gigs of HBM3E Seeing stuff like this always makes me super bearish on edge AI/self-hosting

> coherent memory well… that's not exactly false, but… looks like a very good machine to run local DeepSeek-V4-Flash lol. In a few thousand years might pay back for itself. Definitely a joy to tinker on, though.

12hViews 30.6KLikes 113Bookmarks 43
Rosy Prosperity@rosyprosperity

You are going to be surprised what happens next.

Statements like that have been said for decades - you can look up The Great Moore's Law Compensator and Wirth's Law.

In competitive markets you do not have the luxury of discriminating new technology by price. You must spend and adapt in order to survive.

12hViews 871Likes 4Bookmarks 2
Stephen Y@stephenandstuff

@zephyr_z9 All the buy 3090s to run a quantised version of a smaller parameter version model make me lol

11hViews 95Bookmarks 1
Billy Lee@billyozno

@zephyr_z9 85k just for the memory is wild. Local AI is fun until you see the actual bill

12hViews 88Bookmarks 1
Zephry@mhdazwa83579190

@zephyr_z9 My strategy plan.

🔻↩️↩️

8hViews 19
finánce@racetrack275

@zephyr_z9 This is what edge enthusiasts always sound like

10hViews 151Likes 1

@teortaxesTex I will never understand why they built it with Crap bandwidth

14hViews 192
Sean@SomethingOnSnow

@teortaxesTex But will it run Crysis.

12hViews 117
Fold Universe@folduniverse

@zephyr_z9 Need those "brilliant chinese" to make one for $8,500, still too expensive. Make it $850 ok.

If Deepseek can undercut frontier models by 90% then why not local LLM rigs 🤭

11hViews 111

@teortaxesTex Finally a computer that can run Crysis

14hViews 96
Noggin the Nog@Noggin_the_NogX

@teortaxesTex r/LocalLLM is inevitably going to have a few rich morons buy these and then come post asking if it can run an “AI” more powerful than ChatGPT

14hViews 67
Scurzo@scurzo88

@zephyr_z9 Pewdiepie will bid this

12hViews 48
Cami@Camilogicly

@teortaxesTex Is this the thing worth 100k? lol There is no way is so low vram

14hViews 43
Grim@justgrm

@zephyr_z9 85k for storage that would probably still buffer loading a pdf is wild

10hViews 37
Jake Ayes@jake_ayes

@zephyr_z9 The trick of edge AI is that you’re not JUST buying it to run AI on so you’re not doing a pure amortization of cost of device vs tokens but like yeah the market for edge AI is really more high end laptops and hyper small models on phones than this

12hViews 8
Zephry@mhdazwa83579190

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8hViews 1