l.a.i.l
l.a.i.l is Serve and eval any model on your own hardware. Contribute to sfxnz/L.A.I.L development by creating an account on GitHub.. It is ranked #1017 on the AI Radar, in AI infra & evals, first seen 12 days ago and shared in 1 post (3k views).
What people said about l.a.i.l on X
What you're seeing here is 8 streams of Qwen3.8-Flash-Next NVFP4 reaching a peak of 170 aggregate tok/s decode on 2X DGX sparks. Anyone can try this view for their hardware and model here. https://github.com/sfxnz/L.A.I.L
— @sfxnz, 12 days ago · 29 likes · see the post
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l.a.i.l in numbers
- Rank on the AI Radar: #1017 of 1190
- Shared in 1 post by 1 account: @sfxnz
- 3k views on those posts
- First seen 12 days ago, last shared 12 days ago
- Pricing seen by Jev: open source
- Market: AI infra & evals
FAQ
What is l.a.i.l?
Serve and eval any model on your own hardware. Contribute to sfxnz/L.A.I.L development by creating an account on GitHub. It was first shared on X 12 days ago and is ranked #1017 on the AI Radar.
Is l.a.i.l free?
It is open source.
Who shared l.a.i.l?
1 account on X, including @sfxnz, in 1 post totalling 3k views.
Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 27.2k posts from 4.8k X accounts over the last 14 days, 1.2k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 18:08 UTC. Full method.