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individual artificial neural network considered intelligent
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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
Qualcomm’s New Chips Power AI and 8K Video for Top Android Phones — and They’re Coming Soon - CNET
cnet.com/tech/computing/qualcomm-snapdragon-8-elite-extreme-gen-6-chips-ai-8k-video-android-phones/
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
Wccftech Sep 11
DeepSeek V4.1 Flash Beats OpenAI’s GPT-5.6 Sol And Anthropic’s Opus 5 On Coding And Cybersecurity At An ~86x Lower Cost, While Reducing HBM Requirements By 3 ...
wccftech.com/deepseek-v4-1-flash-beats-openais-gpt-5-6-sol-and-anthropics-opus-5-on-coding-and-cybersecurity-at-an-86x-lower-cost-while-reducing-hbm-requirements-by-3-8x-and-ssd-ones-by-8x/
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
github.com Jun 08
kv-cache : avoid kv cells copies by ggerganov · Pull Request #24277 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/24277
github.com Jun 04
[PoC] server: support requantizing kv cache by wadealexc · Pull Request #24134 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/24134
![[PoC] server: support requantizing kv cache by wadealexc · Pull Request ...](https://external-preview.redd.it/Uwg2OuKYL_cyUNuDl_QbKE8QLJOJXgBPbR0_Jgg2eAo.png?width=320&crop=smart&auto=webp&s=e349140f70c63a9307fcb53420c133424145284f)
github.com Apr 14
GitHub - jungledesh/profile: A physics-grounded, cost-aware optimizer for vLLM.: A physics-grounded, cost-aware optimizer for vLLM. - jungledesh/profile
github.com/jungledesh/profile
github.com Apr 03
(revert) kv-cache : do not quantize SWA KV cache by ggerganov · Pull Request #21332 · ggml-org/llama.cpp
github.com/ggml-org/llama.cpp/pull/21332
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 - quantumaikr/TurboQuant.cpp: turboquant.cpp: turboquant.cpp. Contribute to quantumaikr/TurboQuant.cpp development by creating an account on GitHub.
github.com/quantumaikr/TurboQuant.cpp
github.com Mar 27
GitHub - e1n00r/tinyserve: Run 20B-400B+ MoE models on 8GB consumer GPUs. 3-tier expert caching (SSD→RAM→GPU), native MXFP4/GGUF Q4_K compute ...
github.com/e1n00r/tinyserve
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 Feb 21
GitHub - philtimmes/KeSSie: KeSSie HUGE Context Semantic recall for Large Language Models
github.com/philtimmes/KeSSie
AMD MI455X Could Combine HBM4 And LPDDR For Massive AI Memory Capacity: While NVIDIA includes its CPU and RAM in its super-speed GPU fabric, AMD may have done ...
hothardware.com/news/amd-mi455x-may-have-lpddr-on-module
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