Engineering Blog — Liquid AI
Engineering deep-dives from Liquid AI — how we build, train, and ship efficient foundation models.
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AI’s Growing Appetite for Energy and Water Sparks a New Cooling Solution Beneath the Earth
Researchers propose using underground aquifers to cool AI data centers, lowering the environmental impact of growing AI infrastructure.
How Together AI Uses AI Agents to Automate Complex Engineering Tasks: Lessons from Developing Efficient LLM Inference Systems
Build AI agents for complex, long-running engineering tasks. Learn key patterns from a case study: accelerating LLM inference with speculati
New Chinese AI models and Liquid Foundation Models push LLM efficiency and reasoning forward
With LLMs increasingly working multimodally, there are exciting developments for more performance and leaner sizes.
heise.de·1mo ago
Liquid AI releases LFM2.5-230M, a compact 230M-parameter model that outperforms larger rivals in data extraction
LFM2.5-230M proves that while 3-billion-parameter models like VibeThinker are solving advanced calculus, a 230-million-parameter model is th
venturebeat.com·19d ago
LAI #134: Your First LLM App on AWS for Under a Dollar
Loop engineering with Claude Code, plus a Towards AI enterprise launch, vLLM on L40S, and context windows as memory management Good morning,
Liquid-Cooled AI Infrastructure: Powering Scalable Enterprise Intelligence
ASUS liquid-cooled AI infrastructure for scalable AI. Maximize HPC & AI performance, energy efficiency, and cut costs. Subscribe to ASUS Pre
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