![](/static/61a827a1/assets/icons/icon-96x96.png)
![](https://lemmy.world/pictrs/image/db7182d9-181a-45e1-b0aa-6768f144911a.jpeg)
Trump kept a fake Time magazine cover featuring himself on the walls of his golf courses.
Trump kept a fake Time magazine cover featuring himself on the walls of his golf courses.
No, full models are not loaded into each GPU to improve the tokens per second.
The full Gpt 3 needs around 640GB of vram to store the weights. There is no single GPU (ai processor like a100) with 640 GB of vram. The model is split across multiple gpus (AI processers).
More gpus do improve performance:
https://medium.com/@geronimo7/llms-multi-gpu-inference-with-accelerate-5a8333e4c5db
All large AI systems are built of multiple “gpus” (AI processers like Blackwell ). Really large AI models are run on a cluster of individual servers connected by 800 GB/s network interfaces.
However igpus are so slow that it wouldn’t offer significant performance improvement.
If you buy a high watt CPU, that’s on you. Ryzen 7 also came out in 2022 and had many 65 watt cpus that could outperform an i5-6500.