✖️The key bottleneck pointed out by Musk, memory source
✖️The key bottleneck pointed out by Musk, memory source 1. Until now, the focus of AI investment has been GPU and computing power. However, when moving to agent AI, the bottleneck shifts to memory capacity and bandwidth. 2. Model weights and calculation intermediate values are stored in memory. The longer the context, the faster the KV cache becomes. 3. The longer multiple agents work simultaneously, the more memory required accumulates. If you don't have enough memory, even a good GPU can't be utilized properly. 4. Memory is not a simple component. Key factors that will determine how much…
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