2026-10-11 16:36 UTC

kv-cache

band: hotmomentum: stable score: 0.61
temperature history

Episodes (10)

Independent benchmarks will determine whether CachyLlama’s SSD-backed multi-tier persistent KV cache materially reduces repeated prompt-processing latency in long local-agent sessions on slower hardware without unacceptable storage or correctness tradeoffs.
expirednovelscott: none
Independent benchmarks will determine whether ExANS can sustain near-622 GB/s lossless BF16 KV-cache compression on H100-class GPUs and materially reduce offload bandwidth and time-to-first-token in long-context serving.
expiredconvergesscott: medium
Independent deployments will determine whether Kvcachescope reliably detects and diagnoses vLLM KV-cache memory leaks that conventional GPU monitoring misses.
expiredconvergesscott: low
Independent benchmarks will determine whether UL-SMF’s released linear-complexity KV-cache compression materially reduces long-context memory use without unacceptable losses in model quality or inference performance.
expiredknownscott: low
llama-cpp-turboquant contributor giveen claims adaptive KV-cache streaming can fit larger models or contexts on memory-constrained local systems by trading generation throughput for host-memory capacity.
resolvedknownscott: medium
t4a8945 claims their KV-cache pressure probe exposes actual cache retention and context eviction in local LLM deployments, enabling operators to validate cache-management fixes against observed behavior rather than advertised capacity.
expiredconvergesscott: low
domincali presents kv-cache-migrator as a zero-copy KV-cache migration protocol with claimed 81.6 ms latency, potentially enabling low-interruption relocation of LLM inference state.
expirednovelscott: low
Spomin creator wgaca2 claims the released router and llama.cpp fork replace context with summaries directly in the live KV cache for experimental Qwen sessions, potentially sustaining long-running local agents without repeatedly reprocessing retained context.
seedconvergesscott: medium
Gewell's maintainer claims the released Gemma 4 inference engine provides continuous batching, prefix caching, speculative decoding, and configurable KV storage for high-concurrency serving on NVIDIA Blackwell GPUs, potentially outperforming general-purpose runtimes on its targeted workloads.
seedknownscott: low
Shubh Mehta reports that inferpd's shared host-memory KV store enables prefix reuse across disaggregated DeepSeek workers, delivering 0.52-second median TTFT on V2-Lite at 8.5 requests per second but substantially lower capacity on V3.2, providing a reproducible serving architecture rather than demonstrated production-scale economics.
seedconvergesscott: high

Trajectory notes