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RTX 5090 Street Prices Top $9k as Nvidia GPU Costs Climb

https://aroundprague.cz/en/news/us/rtx-5090-street-prices-top-9-000-as-nvidia-gpu-costs-climb
26•teleforce•46m ago

Comments

Kevin_Flynn•39m ago
I just did a cost breakdown of owning a GPU vs paying for tokens.

An RTX 5060 Ti 16GB card costs about $800 on Amazon right now. Running 18.4 hours a day ( off peak electric rate schedule ) it can process approximately 109.3 million tokens per month. The card has a 90 day return window. Credit card interest + electricity puts the cost at $80 total out of pocket, to use this card for 3 months and return it.

Paying an AI provider came out to $1,639.50 for the same 3 months of 18.4 hour a day usage.

You know its a bubble when ... $80 vs $1,639.50

I understand that if you're a major corporation, or a researcher that needs 100+ gpus for a large project, unless you have access to your own supercomputer, the economics will be different.

This was for "individual coder at home" scenarios.

rokkamokka•35m ago
That card will only run a tiny model though, no?
akmarinov•32m ago
Depending on RAM - it can run a big one veeeeeeeery slowly
Kevin_Flynn•31m ago
Yes, but even the smaller models, when used within a harness and orchestrator, can be accurate enough for real work, especially when combined or validated by other smaller models.

The 5060 wasn't the fastest/$, it just provided the most VRAM / $ as of yesterday.

Im installing it in a box with a 4070 Ti to run 2 different models simultaneously. Coder + MoE via paperclip or multica.

reedf1•35m ago
To be fair we don't know which direction that arbitrage will collapse to.
embedding-shape•32m ago
Yeah, and Qwen 3B that you run on 16GB of VRAM and 10K context length surely is comparable to whatever subscription you're comparing to, that also gives access to 3B parameter models? You might want to take actual use cases into account before you try this scam in real life.

I too did a cost breakdown of buying my GPU for ~10K EUR more than a year ago. It came out "Invaluable" as I use it for analyzing my diary, financials and other private things I cannot send to random 3rd parties.

But even the best of models you can run with 96GB VRAM really doesn't come close to the hosted SOTA models, sadly.

ALLTaken•30m ago
I remember when the top GPU was 550€ and the overclocked, custom-cased, water-cooling ready version cost 660€ tops. Any GPU price out there even $800 for a 5060Ti are not only out of any sane band, but look as if we're in a ultra-recession, yet other markets aren't affected nearly as extreme.
welferkj•30m ago
You're comparing apples to oranges. 109 million tokens is ~nothing, easily a day's worth of casual use. Compare price per token and cloud providers are probably much closer. But even that isn't a fair comparison between cloud AI providers and abusing retailer return policies just yet, because usable local models even remotely comparable to the frontier don't fit in 16gb of vram.
TechTechTech•30m ago
We configured 6 machines each having 2x5090 for local Qwen3.8 in the past months. Prices are very high.

The performance of local AI for coding, given correct setup & harness, is very good and on par for 95% of use cases compared to closed models.

Local usage for end-users is unmetered and token speeds are very fast and keep improving every few weeks due to optimizations being done in the community.

Data remains local which makes EU compliance checkboxes way easier since data never touches anything related to the CLOUD act.

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RTX 5090 Street Prices Top $9k as Nvidia GPU Costs Climb

https://aroundprague.cz/en/news/us/rtx-5090-street-prices-top-9-000-as-nvidia-gpu-costs-climb
26•teleforce•46m ago•52 comments