feat(watchdog): add Memory resource reclaimer #7583
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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mudler
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Dec 15, 2025
| gpus = append(gpus, nvidiaGPUs...) | ||
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| // XXX: Note - I could not test this with AMD and Intel GPUs, so I'm not sure if it works and it was added with the help of AI. |
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Just for reference ^ I could not really come along with the CLI for specific GPUs because I don't own all of them, however, that was not the goal of this PR. The goal of this PR is to provide all the infrastructure on top of it so we can make use of the GPU data. We can iterate on how we get the GPU data easily later on, as we can move away from this implementation quite easily.
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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| return nil, err | ||
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| total := uint64(memory.TotalUsableBytes) |
Check failure
Code scanning / gosec
integer overflow conversion uint64 -> int
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Signed-off-by: Ettore Di Giacinto <mudler@localai.io>
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Description
This PR is related to #5352
This PR introduces a general Memory reclaimer. We will collect resources from the running system such as GPU ram in use, or just standard RAM usage, and based on that, if exceeds a certain treshold (that can be set explicitly by the user) we start reaping other models (LRU).
This is just a baseline to start, and places basically the foundation to enhance this further in any direction we might want to take it, but should be a good starting point.
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