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Liquid Inference
Trends
- 1Intel D-Series GPU bets on air cooling for AI inference●Explore how the new Intel D-Series GPU provides a high-memory, air-cooled solution for agentic AI inference, defying the
Intel has introduced the D-Series GPU, a high-memory, air-cooled chip aimed at agentic AI inference workloads in data centers. The design goes against the industry trend of moving to liquid cooling, and was showcased at OCP 2026, drawing attention from tech and security observers discussing whether air cooling can meet growing AI demands.
- 2Liquid AI releases open-weight decision models d1-3B and d1-omni-600M●Liquid AI launches two open-weight decision models, the d1-3B and d1-omni-600M. Discover their impressive parameters, mu
Liquid AI has launched two open-weight decision models, the d1-3B and the d1-omni-600M. The smaller models are being highlighted for their parameters, support for multimodal inputs, and fast inference speeds, making them potential options for developers who want lightweight, openly available AI models they can run and adapt themselves.
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Architect has launched Liquid Inference, a platform that runs a real-time auction for large language model inference capacity, allowing buyers and sellers to trade compute as demand fluctuates. The move aims to make AI inference cheaper and more efficient by pricing GPU resources dynamically rather than through fixed contracts, adding to growing efforts to build open markets for AI compute.