KV Cache

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Scoured 83 posts in 12.2 ms

Token4Token — pay-per-token inference on Gnosis + Swarm

 🧠Inference Engineering

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

 💰Inference Cost  Content type: Academic
arxiv.org·

How to Run Gemma 4 12B Locally - The Best AI For Consumer Laptops

 🧠Inference Engineering  Content type: Video
youtube.com·

DiffusionGemma: 4x Faster Text Generation

 🧠Inference Engineering  Content type: News  Content type: Blog

KJLdefeated/RL.cu: RLVR training for LLM in CUDA/C++

 🎮GPU Computing  Content type: Code
github.com··Hacker News

Where to Host Your Open-Source Model (Under 10B Parameters)

 🧠Inference Engineering
digitalocean.com·

MoQ GGUFs and GSQ: Low-Bit GGUFs Are About to Get Much Better

 🗜️Quantization  Content type: News  Content type: Blog

Google's new open model DiffusionGemma generates text from noise instead of word by word

 🎮GPU Computing
the-decoder.com
·

Latest technical articles & videos.

 🧠Inference Engineering
certdepot.net·

Clairvoyant: Predictive SJF Scheduling to Mitigate Head-of-Line Blocking in Serial LLM Backends

 🧠Inference Engineering  Content type: Academic
arxiv.org·

Google Shrank Gemma 4 by 72% and Unsloth Fixed the 4-Bit Bug Nobody Else Caught on One 4090, and 4-Bit Shouldn’t Be This Good

 💰Inference Cost  Content type: Blog
towardsai.net·

huawei-csl/KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

 🧠Inference Engineering  Content type: Code
github.com··Hacker News

Gemma 4 QAT models: Optimizing model compression for mobile and laptop efficiency

 💰Inference Cost  Content type: News  Content type: Blog
blog.google··Hacker News

Integrate OpenShift AI and PG Airman MCP Server

 🧠Inference Engineering

GGUF vs GPTQ vs AWQ: The Plain-English Guide to LLM Quantization (and Which One to Pick)

 🗜️Quantization

Local LLMs, Buy a GPU, and the Case for Cognitive Security

 💰Inference Cost

zhongkaifu/TensorSharp: A C# inference engine for running large language models (LLMs) locally using GGUF model files. TensorSharp provides a console application, a web-based chatbot interface, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/Linux with full GPU capability

 🧠Inference Engineering  Content type: Code
github.com··Hacker News

OpenPCC: Open and Confidential LLM Serving on Commodity TEEs

 🧠Inference Engineering  Content type: Academic
arxiv.org·

NVIDIA and LG Group Build an AI Factory to Advance Physical AI, Mobility and AI Infrastructure

 🧠Inference Engineering  Content type: Blog

Build a Medical Report Analyzer on Dedicated Inference with Python

 🧠Inference Engineering
digitalocean.com·

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