vLLM

vLLM inference, PagedAttention, LLM serving, throughput inference

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Scoured 75 posts in 7.4 ms

Alignment Collapse Under KV Cache Quantization: Diagnosis and Mitigation

 LLM Inference  Content type: Academic
arxiv.org·

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

 LLM Inference  Content type: Code
github.com··Hacker News
Less-relevant results

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

 LLM Inference  Content type: Blog
towardsai.net·

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

 LLM Inference

#068 - Apple runs Siri on Google's Gemini, OpenAI files a secret IPO at $852B, Xiaomi clocks 1,000 tps

 LLM Inference
indiehacker.news·

Latest technical articles & videos.

 🧠KV Cache
certdepot.net·

[eCHO News] Episode #104: mTLS for Cilium. Lisp for eBPF

 📁Filesystems

Google's new open model DiffusionGemma generates text from noise instead of word by word

 LLM Inference
the-decoder.com
·

Integrate OpenShift AI and PG Airman MCP Server

 🗄️Databases
developers.redhat.com·

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

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

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

Build a Medical Report Analyzer on Dedicated Inference with Python

 🧠KV Cache
digitalocean.com·

OpenPCC: Open and Confidential LLM Serving on Commodity TEEs

 🧠KV Cache  Content type: Academic
arxiv.org·

The Death of the Four Golden Signals: Designing Telemetry for Non-Deterministic Infrastructure

 LLM Inference
devops.com·

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

 LLM Inference
indiehacker.news·

not much happened today | AINews

 🧠KV Cache
news.smol.ai·

Build a local voice agent with Red Hat OpenShift AI

 LLM Inference
developers.redhat.com·

APEX4: Efficient Pure W4A4 LLM Inference via Intra-SM Compute Rebalancing

 LLM Inference  Content type: Academic
arxiv.org·

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

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

OpenEnv is now owned by HF, Torch, Prime Intellect, Unsloth, Modal, Mercor, and more! Use it for training agents.

 LLM Inference  Content type: Blog

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