DeepSeek MLA Architecture: How It Cuts KV Cache by 93%
DeepSeek Multi-Head Latent Attention compresses KV cache down to 0.16 KB/token/layer. Here is the low-rank projection math and 128k context serving economics.
Open-Source Models & Sovereign AI Contributor at Eyestech. Berlin-based open-source maintainer and distributed computing researcher focusing on decentralized model clusters and open-weights licensing dynamics.
DeepSeek Multi-Head Latent Attention compresses KV cache down to 0.16 KB/token/layer. Here is the low-rank projection math and 128k context serving economics.