供电就绪的 AI 容量
面向托管与 AI 数据中心园区的能源方案——它们需要的是真正已经通电的容量，而不是一栋等待多年才能接上电网的空壳。GRECO 园区自建电力：发电、冷却与储能从第一天起就纳入工程设计，让您路线图上的制约因素不再是公用事业排队。
一个园区，两类承购——面向 AI 运营商的liquid-cooled compute capacity，以及面向社区能源公司的recovered district heat。以我们位于温哥华地区的旗舰园区 Morrison Park 为核心，并在不列颠哥伦比亚省与艾伯塔省分期扩展。
有容量，不必排队
您承购的是容量，而不是建设风险——而且能早数年通电。
Loads that cannot wait for a utility connection are exactly the ones BC Hydro's call for demand was created to move.
通电所需时间
年提前量在加拿大各地，大型新增负荷的电网接入周期可长达 five to seven years。Greco 在场内、表后自行发电 — 因此园区可以比新变电站建成早数年通电。
四类可供承购的产出
Greco 园区上的每一份能量都经过设计，不止发挥一次作用——而算力本身可以NVIDIA-accelerated via the Dell AI Factory交付，也可以作为由您自行完成内装的powered shell交付。
AI 算力容量
在自带发电的园区中租赁已通电的液冷机柜容量，或者接手一栋供电就绪的毛坯机房，自行完成内部装配。无论哪种方式，在您与投产之间都没有电网接入排队。
回收热能
在 50 °C 捕集的低碳热能，适用于第四代区域能源系统——这是一项收入，而不是一笔成本。
表后发电
来自现场发电与储能的可靠、可调度电力——对同址的工业用户、车队或电网服务承购方都有价值。
兆瓦级 EV 充电
为商用车队配套的同址兆瓦级充电系统容量，由枢纽供电，并支持车辆到电网（V2G）。
为功率密度曲线而建
为今天的机柜供电，为下一代做架构——看看每个功率密度等级对电力、热量与占地意味着什么。
测算所需容量
Shipping today机架功率与冷却参数参照 NVIDIA 已公布的参考设计；园区的工程设计以 ready for这些参数为目标，并非声称目前已建成安装。
对应到 Greco 的具体场址可靠性源于设计
就地发电
燃料灵活的固体氧化物燃料电池与直线发电机在表后提供 7×24 小时可调度的基荷电力——不受电网阻塞影响。
电网级储能
同址布置的锂电与全钒液流电池可穿越电网事件并平抑负荷曲线——在扰动期间保持算力在线。
在电网有帮助的地方就用电网
在有清洁公用电力的地方——BC 省和魁北克省的水电占比超过 95%——我们就用它；没有的地方，我们就在现场发电。韧性来自设计，而不是依赖。
城市边缘还是都市园区
按工作负载选择距离：位于城市内部、可实现 1–5 ms 推理时延的urban edge站点，或适合训练和大批量算力的更大规模metro campuses。两者都可以把回收热能输送到周边社区。
对比城市边缘与都市园区From compute to community heat
The heat produced by AI computation, captured with liquid cooling and delivered into municipal district energy — with no combustion at the point of use.
Read the transcript
Every city on Earth faces the same silent crisis. We generate enormous amounts of energy and we waste most of it. The heat escaping from our machines, our buildings, our infrastructure, lost to the atmosphere, doing nothing, helping no one.
But what if waste could become resource? What if every unit of energy could create not one form of value but many? This is the question GRECO Energy has answered, and the answer is changing everything.
The AI data centre. The world sees it as a machine that consumes electricity, water and land — a necessary cost of the digital age. But GRECO Energy sees something different. They see a power plant, a heat source, a piece of public infrastructure that can do far more than compute.
Inside every data centre, AI generates something no one talks about: thermal energy. Enormous quantities of heat produced constantly, relentlessly, as a direct byproduct of intelligence at work. For decades that heat has been thrown away.
GRECO Energy has built a system to catch it. Advanced liquid cooling pulls heat directly from the processors — efficiently, precisely, at scale. Where air cooling wastes energy fighting heat, liquid cooling captures it.
That captured thermal energy enters a recovery loop. It does not disappear; it becomes a resource. Heated fluid moves through insulated pipe networks — the same principle as the district energy systems that have heated European cities for generations, now reimagined for the age of artificial intelligence.
Recovered thermal energy flows into municipal district energy systems: networks of insulated pipes that carry heat directly to homes, hospitals, schools and commercial buildings. No boilers, no burning, no emissions at the point of use. Just intelligent heat, recovered from intelligence itself, warming the places where people live and work and heal.
This is not a pilot project. This is scalable infrastructure, designed to integrate with existing municipal utility systems and grow with the cities it serves.