AI Inference

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

 Inference  Content type: Code
github.com··Hacker News, r/LLM

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

 🧠LLM Tooling

Metrics that Matter with Serverless Inference

 ☁️Cloud Computing
digitalocean.com·

How ERGO Hestia reduced time-to-market with Lakebase and Mosaic AI Model Serving

 ⚙️ML Infrastructure  Content type: Blog
databricks.com·

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

 🇨🇳Chinese Technology  Content type: News

OpenCV 5 Debuts with Improved ONNX Support and Native AI Upgrades

 👁️Computer Vision  Content type: News
hackster.io·

12B Gemma 4 QAT Deployment with NVIDIA L4, Cloud Run, MCP, and Antigravity CLI

 🔧MCP  Content type: Blog
medium.com
·

vicharak-in/Gati: Gati Accelerates Your CNN Algorithms!

 🤖AI  Content type: Code
github.com··Hacker News

OpenCV 5.0 Computer Vision Library Released with Rewritten DNN Engine

 👁️Computer Vision
linuxiac.com·

Intelligent inference scheduling with llm-d on Red Hat AI

 🧠LLM
developers.redhat.com·

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

 Quantization

CoreML vs TFLite: iPhone 15 Pro GPU 2.3x Faster

 📱Edge AI  Content type: Blog  Content type: Discussion
tildalice.io·

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

 Quantization  Content type: Blog
dnhkng.github.io·

massimo92/spark: CLI tool for serving LLMs with vLLM on NVIDIA DGX Spark. One file, zero friction.

 🟩Nvidia  Content type: Code
github.com··Hacker News

PagedAttention vs Traditional KV Cache: How vLLM Reinvented GPU Memory for LLM Inference

 Inference  Content type: Blog
medium.com
·

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

 👁️Computer Vision  Content type: News
cnx-software.com·

I wired a fully offline voice loop to Ollama + LM Studio — 100% CPU, no GPU, nothing leaves your machine (Silero VAD + Parakeet STT + Supertonic TTS 3)

 🖥️Local AI  Content type: Code

AI Serving Platform That Adapts to Your Model

 📊Compute Markets  Content type: Blog
databricks.com·

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

 🟩Nvidia  Content type: Code
github.com··Hacker News

heterodoxin/graphkv: Graph-guided KV cache compression for memory-efficient LLM inference.

 💾KV Cache  Content type: Code
github.com··r/LocalLLaMA

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