LLM Inference

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harshuljain13/llm-inference-at-scale: A Practitioner handbook for production llm serving.

 🧠Local llm  Content type: Code
github.com··Hacker News

Intelligent inference scheduling with llm-d on Red Hat AI

 ☸️Kubernetes
developers.redhat.com·

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

 LLM Quantization  Content type: Academic
arxiv.org·

The Inference Alpha: Maximizing Frontier Models on AMD

 LLM Quantization  Content type: Blog
digitalocean.com·

DeepSeekV4 1.6T Day 0 to Day 43 Performance Over Time - Huawei, GB300 NVL72, MI355X, B200

 🤖Machine Learning  Content type: News

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

 🧠Local llm  Content type: News  Content type: Blog
blog.google··Hacker News

Inferoa AI harness claimed 90% cache savings. We ran it and measured 97.8%

 👁️Observability
zozo123.github.io··Hacker News

Big Blue’s Redbook on Storage Scale KV Cache management

 🐢Turso  Content type: News
blocksandfiles.com·

CommBench: Can LLMs Write Correct and Efficient GPU Communication Code?

 LLM Quantization

Running Qwen 35B MoE at 450k Context on a Single 32GB GPU

 🧠Local llm

NetX-lab/Frontier: Frontier: A Discrete-Event Simulator for Modern LLM Serving

 👁️Observability  Content type: Code
github.com··Hacker News

Qwen 3.6 27B AutoRound GGUF, need your feedback

 🧠Local llm

Massive AI Storage Demand Creates a New Memory Wall

 📝SQLite WAL  Content type: News
eetimes.com·

A system programmer’s guide to LLM inference

 🤖Qwen  Content type: Blog

Report: GKE Inference Gateway delivers up to 92% faster AI responses

 ☸️Kubernetes  Content type: Blog

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 LLM Quantization  Content type: Blog
blogs.nvidia.com·

How we fight GPU scarcity without compromise

 LLM Quantization  Content type: Blog
equixly.com··Hacker News

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

 🧠Local llm

KaiFelixBennett/gemma4-turboquant-rdna4: Run Gemma-4-31B at full 256K context on a $1,400 AMD RDNA4 GPU (gfx1201): TurboQuant KV cache + HIP-graph-safe Flash-Attention for llama.cpp, fully measured on real hardware.

 🧠Local llm  Content type: Code
github.com··Hacker News

DiffusionGemma: The Developer Guide- Google Developers Blog

 LLM Quantization  Content type: Blog

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