Inference Optimization

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

 🤖LLM Inference  Content type: News  Content type: Blog
blog.google··Hacker News

Joint Structural Pruning and Mixed-Precision Quantization for LLM Compression

 🤖LLM Inference  Content type: Academic
arxiv.org·

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

 ⚙️AI Infrastructure
zozo123.github.io··Hacker News

Qwen 3.6 27B AutoRound GGUF, need your feedback

 🤖LLM Inference

huawei-csl/KVarN: KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.

 🤖LLM Inference  Content type: Code
github.com··Hacker News

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

 🤖LLM Inference  Content type: News

Pruned YOLOv8 ONNX INT8 Fails: 3 Fixes That Work

 🤖LLM Inference  Content type: Blog  Content type: Discussion
tildalice.io·

HNSW vs LSH: How Elasticsearch hits 0.99 recall@10 at 15,000 QPS — and what it costs

 🔍Retrieval-Augmented Generation  Content type: Blog
elastic.co·
Less-relevant results

AMD's Lemonade SDK For Local AI Adds NVIDIA CUDA Support

 🤖LLM Inference
phoronix.com·

LLM Inference Engineering Room — Part 3: The Orchestration Layer

 🤖LLM Inference  Content type: Blog

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

 🤖LLM Inference  Content type: Blog
dnhkng.github.io·

The latest Gemma 4 models use a training trick to slash their on-device memory footprint

 🤖LLM Inference
androidauthority.com·

What's in the Box? A Field Guide to AI Models

 🤖LLM Inference  Content type: Blog
iankduncan.com·

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

 🤖LLM Inference

NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI

 🤖LLM Inference  Content type: Blog
blogs.nvidia.com·

Speculators v0.5.0: DFlash support and online training

 🤖LLM Inference
developers.redhat.com·

Ultrafast machine learning on FPGAs via Kolmogorov-Arnold Networks

 🤖LLM Inference

UniSVQ: 2-bit Unified Scalar-Vector Quantization

 🤖LLM Inference  Content type: Academic
arxiv.org·

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

 🤖LLM Inference  Content type: News  Content type: Blog

Train Models Faster with JAX and MaxText Using NVFP4 on NVIDIA Blackwell

 🤖LLM Inference  Content type: News  Content type: Blog
developer.nvidia.com·

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