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E-stonAI responsible sustainable mobile AI factories
@E-ston-AI is a distributed AI factory in a solar‑powered truck trailer during the summer and turns waste‑heat into revenue in the winter while giving you AI wherever you need it.
Our mission is to make high‑performance AI inference truly mobile and distributed by turning under‑utilized solar‑park energy and district‑heat networks into a plug‑and‑play AI factory on wheels.
What We Build:
• Mobile AI‑Trailer– A self‑contained AI factory built into a standard shipping container
• GPU Core– NVIDIA the workhorse for premium workloads.
• Power Stack– Curtailed solar‑park power + battery bank for night/off‑grid operation, backed by grid tie.
• Heat‑Recovery Loop– Closed‑loop liquid system that feeds local district‑heat networks, turning cooling costs into revenue.
Core Values
• Sustainability– Leverage renewable solar and reuse waste heat.
• Flexibility– Deploy AI compute wherever excess electricity is located or heating is needed.
• Reliability
Join us to turn sunlight into intelligence!
Видео E-stonAI responsible sustainable mobile AI factories канала E-ston-AI
Our mission is to make high‑performance AI inference truly mobile and distributed by turning under‑utilized solar‑park energy and district‑heat networks into a plug‑and‑play AI factory on wheels.
What We Build:
• Mobile AI‑Trailer– A self‑contained AI factory built into a standard shipping container
• GPU Core– NVIDIA the workhorse for premium workloads.
• Power Stack– Curtailed solar‑park power + battery bank for night/off‑grid operation, backed by grid tie.
• Heat‑Recovery Loop– Closed‑loop liquid system that feeds local district‑heat networks, turning cooling costs into revenue.
Core Values
• Sustainability– Leverage renewable solar and reuse waste heat.
• Flexibility– Deploy AI compute wherever excess electricity is located or heating is needed.
• Reliability
Join us to turn sunlight into intelligence!
Видео E-stonAI responsible sustainable mobile AI factories канала E-ston-AI
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14 мая 2026 г. 18:29:29
00:00:09
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