Inference Cost

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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·

Optimal Post-Training Quantization Scales and Where to Find Them

 🗜️Quantization  Content type: Academic
arxiv.org·

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

 🗜️Quantization  Content type: News  Content type: Blog

Two Leaps to 1000 Tokens/s on a 1T-Parameter Model: On Inference Systems, Execution Boundaries, and Co-Design

 🧠Inference Engineering  Content type: Blog
tilert.ai··Hacker News

Domain-Specific Small Language Models (Manning)

 ⚙️ML Compilers
i-programmer.info·

Apple rebuilt its on-device AI stack at WWDC 2026

 🔢GEMM Optimization  Content type: Blog
ziraph.com··Hacker News

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

 🧠Inference Engineering
digitalocean.com·

Researchers Build Self-Replicating AI Worm That Operates Entirely on Local, Open-Weight Models

 🐝eBPF
thehackernews.com·

Unsloth Gemma 4 QAT

 🗜️Quantization
unsloth.ai·

ASUS ExpertBook Ultra Flagship Business Laptop Debuts In SEA Markets, Featuring Sub-1kg Chassis & Intel Core Ultra X7 Processor

 🧠Inference Engineering
pokde.net·

stable-diffusion.cpp/docs/quantization_and_gguf.md at master · leejet/stable-diffusion.cpp

 🗜️Quantization  Content type: Code

Azure OpenAI Architecture: The Decisions That Actually Matter (Part 1)

 ☁️Cloud Infrastructure

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

 🎮GPU Computing

Ask HN: Is software engineering still a good career choice for new students?

 🧠Inference Engineering  Content type: Discussion

Why agentic AI needs an open inference stack

 ⚙️MLOps
redhat.com·

LC-QAT: Data-Efficient 2-Bit QAT for LLMs via Linear-Constrained Vector Quantization

 🧠Inference Engineering  Content type: Academic
arxiv.org·

TFLite Edge Model Quantizer Snippet

 🔢FP8 Training

MLPerf and the rise of latency-aware LLM benchmarking

 ⏱️Prefill Decoding
edn.com·

Re-quantizing a local LLM 14x faster by skipping the tensors that didn't change

 🗜️Quantization  Content type: News  Content type: Blog

3x Faster Search: Parallel Test-Time Scaling with Instructed-Retriever-1

 ⏱️Prefill Decoding  Content type: Blog
databricks.com·
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