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Scoured 216 posts in 10.4 ms

Breaking the Ice: Analyzing Cold Start Latency in vLLM

 🫀Microkernels  Content type: Academic
arxiv.org·

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

 ⌨️CLI Tools
zozo123.github.io··Hacker News

Nvidia DGX Spark GB10 – AI Models and Guide with vLLM and Autonomous Script

 ⚡Concurrency  Content type: Code
github.com··Hacker News

Nissan Slams The Door On A Nismo Navara, Mitsubishi Cracks One Open For Ralliart

 🪝eBPF
carscoops.com·

Distributed multi-agent systems with Aspire and Microsoft Agent Framework

 🌐Distributed Systems  Content type: Blog
devblogs.microsoft.com·

Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work

 ⚡Dynamic Recompilation  Content type: Blog  Content type: Discussion
tildalice.io·

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

 🗄️CUDA Memory  Content type: News
newsletter.semianalysis.com
··Hacker News

No Token Left Behind: Demystifying Token-in-Token-Out in Miles

 📡Protocol Design  Content type: Blog
lmsys.org··Hacker News

LLM Inference Engineering Room — Part 3: The Orchestration Layer

 📋Formal Methods  Content type: Blog
vimal-dwarampudi.medium.com·

OpenCV Introduces New DNN Inference Engine

 🔧Dev Tools
i-programmer.info·

google/gemma-4-31B-it · fix: chat template — null handling, reasoning preservation, turn-tag balance, input validation

 🦀Rust
huggingface.co··r/LocalLLaMA

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

 🎮GPU Microarchitecture  Content type: News  Content type: Blog
blog.google··Hacker News

2x GH200 for LLM inference, Part 2: vLLM, DeepSeek V4 Flash, and MTP

 ⚡Concurrency  Content type: Blog
dnhkng.github.io·

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

 🔧Compilers  Content type: Academic
arxiv.org·

New comment by bhvk08 in "Ask HN: Who wants to be hired? (June 2026)"

 ⚙️Low-Level Programming  Content type: Discussion
news.ycombinator.com··Hacker News

From GPU to Token: The 8-Layer Observability Stack for AI Infrastructure

 🫀Microkernels  Content type: Blog
jimmysong.io·

Embedding pipelines are the new ETL

 🗄️Vector Databases  Content type: Blog
infoworld.com·

OpenCV 5 release - New DNN engine with enhanced ONNX and LLM/VLM support, Intel, Arm, and RISC-V hardware optimizations - CNX Software

 🕹️Emulators  Content type: News
cnx-software.com·

OpenCV 5.0 Computer Vision Library Released with Rewritten DNN Engine

 🗄️Vector Databases
linuxiac.com·

Speculators v0.5.0: DFlash support and online training

 🗄️Backend Dev
developers.redhat.com·

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