Skip to content
Live

Photo: Jakub Zerdzicki on Pexels

Trending on Hacker News
AI Tech

Janas: Stream large language models from SSD to run bigger models on laptops

New technique achieves 37 tokens per second running an 80B parameter model on a 32 GB laptop by loading model experts on demand from disk storage.

Summarized from github.com, . 25-second read.

Listen to this story
0:00 / 0:00

Janas is a new method for running that exceed available RAM by streaming model components from an SSD or storage device. The approach achieves 37 per second when running Qwen3-Next-80B, a 48 GB model, on a laptop with only 32 GB of memory.

Benchmarks show Janas outperforms llama.cpp across 13 model comparisons at Q4_K_M quantization levels, with both and reading speeds substantially higher. The technique addresses a core constraint in consumer AI: enabling users to run state-of-the-art large models on standard hardware without cloud access or expensive upgrades.

Read the full story at github.com

This is an AI-written summary. The original reporting belongs to github.com. How we write these · Spot a mistake?

Share

Get the AI brief every morning.

The five AI stories that matter each morning: startups, money, jobs, tech and what's coming next. Free, and one click to unsubscribe. See our Privacy Policy.