[KongchangAI]
Person

Raymond Fwine

A researcher in the AI/ML field focused on large language model inference optimization on consumer-grade GPUs, and the proposer of the llama.cpp Adaptive KV Streaming approach.

Timeline (last 90 days)

Sep 16

llama.cpp Adaptive KV Streaming changes data movement from being managed automatically by the system to being actively scheduled by the inference program; the full KV is stored in memory, only a portion resides permanently in VRAM, and a circular buffer prefetches the KV needed by subsequent layers.

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llama.cpp Adaptive KV Streaming changes data movement from being managed automatically by the system to being actively scheduled by the inference program; the full KV is stored in memory, only a portion resides permanently in VRAM, and a circular buffer prefetches the KV needed by subsequent layers.

50%

Source Articles

Running Qwen3 27B on 16GB VRAM: 192K Context + Vision BenchmarkSep 16