… DeepSeek claims that the V4 AI model requires just 27% single-token inference FLOPs and 10% of key-value KV cache when compared to its predecessor, the DeepSeek V3.2 model . …
… Therefore, AI companies have ordered more memory chips in order to beef up efficiency and reduce the cost per token processed. …
… Related Story Agentic AI Pushes CPUs to Pack 400 GB of Memory, 4x More Than Today, as DRAM Shortage Spirals Toward 2027 Given that with long-context workloads, the pressure tends to shift more towards GPU VRAM, the LMSYS team integrated PD Prefill-Decode Disaggregation, a widely used mechanism for … …