trendforce Jul 31
💡 Memory Is Buckling Under KV Cache Demand, Two Fixes Are in Play. Surging KV Cache demand against constrained memory supply created severe bottlenecks ... Show more
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computing component that transparently stores data so that future requests for that data can be served faster
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How flash storage can cut GPU waste from KV-cache recomputation: LLM inference can waste up to 60% of GPU compute recomputing context. WEKA explains how KV-cache ...
venturebeat.com/ai/up-to-60-of-gpu-compute-goes-to-recomputing-context-flash-storage-can-put-that-capacity-back-to-work
github.com Sep 28
GitHub - solvingSteve/Gevva0: System 0 local decision gateway powered by Gemma 4. Direct logit scoring, KV-cache sequence branching ...
github.com/solvingSteve/Gevva0
C2C replaces text handoffs between AI models | VentureBeat: C2C lets AI models communicate through KV caches instead of text, improving benchmark accuracy and ...
venturebeat.com/orchestration/text-handoffs-slow-ai-models-down-c2c-lets-them-communicate-through-kv-caches-instead
Marvell VP pushes for DDR4 recycling for use in CXL memory, amid the worst DRAM shortage in years — company introduces three-tier AI memory infrastructure
tomshardware.com/pc-components/dram/marvell-sells-cxl-memory-recycling-into-the-worst-dram-shortage-in-years
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A requiem for Optane, Intel's KV cache killer that could have eased the RAM price crunch
theregister.com/storage/2026/07/29/a-requiem-for-optane-intels-kv-cache-killer-that-could-have-eased-the-ram-price-crunch/5280063
trendforce Jul 30
Breaking the Memory Bottleneck Part 2: How Tech Giants Shrink the KV Cache Footprint
insights.trendforce.com/p/memory-bottleneck-shrinking-kv-cache-footprint
Paid articlePaywall New Silicon Motion SM2524XT chip brings 14 GB/s to mainstream SSDs — 6nm DRAMless controller boasts heavy AI PC optimization and slashes KV cache latency
tomshardware.com/pc-components/ssds/new-silicon-motion-sm2524xt-chip-brings-14-gb-s-to-mainstream-ssds-6nm-dramless-controller-boasts-heavy-ai-pc-optimization-and-slashes-kv-cache-latency
github.com May 22
Asymmetric KV q8/q4 cache to preserve precision while reducing memory usage · ggml-org/llama.cpp · Discussion #23470
github.com/ggml-org/llama.cpp/discussions/23470
github.com Apr 05
GitHub - AlphaWaveSystems/tqai: TurboQuant KV cache compression for local LLM inference — 80% memory savings, near-zero quality loss on 8B+ models ...
github.com/AlphaWaveSystems/tqai
github.com Apr 02
GitHub - jhammant/Turbo1bit: Turbo1Bit: Combining 1-bit LLM weights (Bonsai) with TurboQuant KV cache compression for maximum inference efficiency. 4 ...
github.com/jhammant/Turbo1bit
github.com Mar 31
GitHub - Memoriant/dgx-spark-kv-cache-benchmark: KV cache quantization benchmarks on NVIDIA DGX Spark GB10 — three novel findings including the dequantization ...
github.com/Memoriant/dgx-spark-kv-cache-benchmark
Google's TurboQuant reduces AI LLM cache memory capacity requirements by at least six times — up to 8x performance boost on Nvidia H100 GPUs ...
tomshardware.com/tech-industry/artificial-intelligence/googles-turboquant-compresses-llm-kv-caches-to-3-bits-with-no-accuracy-loss
github.com Mar 24
GitHub - cenconq25/delta-compress-llm: Exploiting temporal coherence in LLM inference-- delta encoding for KV cache compression and weight-skip prediction ...
github.com/cenconq25/delta-compress-llm
github.com Mar 24
GitHub - samfurr/foveated_kv: Importance-adaptive mixed-precision KV cache compression for LLM inference on Apple Silicon.
github.com/samfurr/foveated_kv
github.com Mar 15
GitHub - joongom/mlx-soloheaven: Contribute to joongom/mlx-soloheaven development by creating an account on GitHub.
github.com/joongom/mlx-soloheaven
Nvidia’s new technique cuts LLM reasoning costs by 8x without losing accuracy: Nvidia researchers developed dynamic memory sparsification (DMS) ...
venturebeat.com/orchestration/nvidias-new-technique-cuts-llm-reasoning-costs-by-8x-without-losing-accuracy
trendforce.com Feb 12
[News] SK hynix Unveils AI Chip Architecture with HBF, Reportedly Boosts Performance per Watt by Up to 2.69×
trendforce.com/news/2026/02/12/news-sk-hynix-unveils-ai-chip-architecture-with-hbf-reportedly-boosts-performance-per-watt-by-up-to-2-69x/
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