Tech Expert Sudo Su Shares Insights on X Platform
agents gpu inference
| Source: Mastodon | Original article
Sudo su tests latest AI models on 2016's GTX 1080. Smallest model achieves 38 tokens per second.
Sudo su (@sudoingX) has successfully run three latest open weight agent models on a 2016 NVIDIA GTX 1080 8GB graphics card. The smallest model achieved a token context of 650,000 and a generation speed of 38 tokens per second. This test is significant as it demonstrates the model's ability to run efficiently on older hardware, specifically the Pascal architecture without tensor cores and with GDDR5X 8GB memory.
This development matters because it shows that powerful AI models can be deployed on a wide range of devices, including those that are several years old. This could expand the accessibility of AI technology and reduce the need for expensive, cutting-edge hardware. As we reported on April 25, Sudo su has been exploring the capabilities of AI models on various platforms, and this latest test builds on those findings.
What to watch next is how these findings will impact the development of AI models and their deployment on different devices. Will we see more researchers and developers experimenting with older hardware to make AI more accessible? The results of Sudo su's test can be found on X, and it will be interesting to see how the community responds to this breakthrough.
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