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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 - solvingSteve/Gevva0: System 0 local decision gateway powered by Gemma 4. Direct logit scoring, KV-cache sequence branching ...
github.com/solvingSteve/Gevva0

Release Splash 1.1.0 · incoai/splash: A local inference engine for Apple silicon, built around the model. - Release Splash 1.1.0 · incoai/splash
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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

GitHub - firish/webfetch: Own your LLM's web search: a local search->fetch->rank pipeline that replaces hosted web-search tools ...
github.com/firish/webfetch

GitHub - GuglielmoCerri/khazad: Transparent, transport-layer semantic cache for LLM API calls, powered by Redis 8 Vector Sets.
github.com/GuglielmoCerri/khazad

GitHub - Aryagm/dflash-mlx: Exact speculative decoding on Apple Silicon, powered by MLX.
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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 - matt-k-wong/turboquant-mlx-full: Contribute to matt-k-wong/turboquant-mlx-full development by creating an account on GitHub.
github.com/matt-k-wong/turboquant-mlx-full

GitHub - SharpAI/SwiftLM: ⚡ Native Swift LLM inference server for Apple Silicon. OpenAI-compatible API, SSD streaming for 100B+ MoE models ...
github.com/SharpAI/SwiftLM

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 - Anemll/flash-moe: Contribute to Anemll/flash-moe development by creating an account on GitHub.
github.com/Anemll/flash-moe

GitHub - i3T4AN/Semantic-skill-space: Semantic Skill Space (SSS): Injecting skill embeddings into KV cache for small-model agents to recover skill behavior ...
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GitHub - fbk2111/Sentinel: Smart and cost effective LLM proxy: Smart and cost effective LLM proxy. Contribute to fbk2111/Sentinel development by creating an ...
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