VQV Signal
A new inference engine has been developed that can run the Kimi K3 model, which has 2.78 trillion parameters, using only 29GB of RAM. This was discussed in a Hacker News thread with several points and comments.
A new inference engine has been developed that can run the Kimi K3 model, which has 2.78 trillion parameters, using only 29GB of RAM. This was discussed in a Hacker News thread with several points and comments.
AI-assisted summary based on the listed source.
Running such a large model with relatively low RAM requirements could make large language model inference more accessible and efficient. This development may influence how future inference engines are designed for large-scale models.
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VQV surfaced this signal because it is recent, relevant to LLM Inference, connected to Hacker News.
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