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Anatomy of a high-performance EP kernel

 🖥️Inference Engineering  Content type: Blog

Stateful Swarms: How Persistent Memory Beats Traditional Agent Architectures

 🖥️Inference Engineering  Content type: News

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

 🖥️Inference Engineering  Content type: Blog

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 Engineering  Content type: Blog
towardsai.net·

Claude Fable 5 🚀, Gemini 3.5 Live Translate 📱, scaling test time compute 📈

 🎯Fine-tuning
tldr.tech·

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

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

STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control

 🖥️Inference Engineering  Content type: Academic
arxiv.org·

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

 🖥️Inference Engineering  Content type: News  Content type: Blog

Integrate OpenShift AI and PG Airman MCP Server

 🖥️Inference Engineering
developers.redhat.com·

#065 - Claude writes 80% of Anthropic's own code, Cloudflare buys Vite, ChatGPT ships Dreaming memory

 🖥️Inference Engineering
indiehacker.news·

libertywing/FlashMemory-Deepseek-V4: FlashMemory DS-V4 Retriever: a lightweight retriever that sparsifies DeepSeek-V4 CSA KV-cache. Weights available on Hugging Face.

 🖥️Inference Engineering  Content type: Code
github.com·

Beyond Per-Token Pricing: A Concurrency-Aware Methodology for LLM Infrastructure Cost Estimation

 💰API Pricing  Content type: Academic
arxiv.org·

Efficient and Training-Free Single-Image Diffusion Models

 🎯Fine-tuning

Florian Brand, Prime Intellect research engineer, adopts Gemma 4 E4B 6-bit quantized as his primary local Mac LLM

 🖥️Inference Engineering  Content type: News
digg.com··Hacker News

What Arm-based innovations happened in May 2026?

 🖥️Inference Engineering  Content type: Blog
newsroom.arm.com·

Build a local voice agent with Red Hat OpenShift AI

 🖥️Inference Engineering
developers.redhat.com·

The economics of speculative decoding

 🖥️Inference Engineering  Content type: Blog

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.

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

Task-Aware Structured Memory for Dynamic Multi-modal In-Context Learning

 🖥️Inference Engineering  Content type: Academic
arxiv.org·
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