Nvidia is trying to explain what exactly what went wrong to cause the botched launch of its new GeForce RTX 3080 graphics card.
Despite announcing the date and time of its release, many customers struggled to find an RTX 3080, with Nvidia’s own site still displaying a “notify me” button well after it had sold out. The traffic to the site slowed its servers to a crawl, which resulted in its notification emails going out nearly an hour after the 6 a.m. launch.
In a FAQ post Monday morning, Nvidia states that it had ten times the volume of visitors to its site as it did with its previous launch of the 20 series cards, and it was simply unprepared for the traffic.
This extended to its retail partners and third-party manufacturers, some of which reportedly saw traffic that beat out their Black Friday numbers.
Nvidia said it is increasing its production output weekly, and has adjusted its manufacturing based on this unprecedented demand.
It has also implemented new anti-bot techniques to prevent the launch day issues where algorithms were ready to snatch up any supply before real-life customers could get a chance.
This includes featuring a CAPTCHA at checkout, having a dedicated storefront, and reinforcing the store’s code to prevent traffic from shutting it down. Nvidia also claimed it manually canceled hundreds of orders that had been made using bots before any units shipped.
Since September 17, purchasers have banded together to make sure anyone that wants a card is aware of the stock at Nvidia and its retail partners, forming a community aimed at defeating the bots. One community has even implemented scripts to notify you when a retailer has stock in order to give yourself a fighting chance to purchase a card before the supplier runs out.
As of writing Monday morning, not a single outlet has inventory, although some have promised more this week.
Related Posts
New study shows AI isn’t ready for office work
A reality check for the "replacement" theory
Google Research suggests AI models like DeepSeek exhibit collective intelligence patterns
The paper, published on arXiv with the evocative title Reasoning Models Generate Societies of Thought, posits that these models don't merely compute; they implicitly simulate a "multi-agent" interaction. Imagine a boardroom full of experts tossing ideas around, challenging each other's assumptions, and looking at a problem from different angles before finally agreeing on the best answer. That is essentially what is happening inside the code. The researchers found that these models exhibit "perspective diversity," meaning they generate conflicting viewpoints and work to resolve them internally, much like a team of colleagues debating a strategy to find the best path forward.
Microsoft tells you to uninstall the latest Windows 11 update
https://twitter.com/hapico0109/status/2013480169840001437?s=20