AIHOT 于 2026-08-17 收录了“NVIDIA 与 SB Energy 合作锁定俄亥俄州 PORTS-Pike 园区电力容量，OpenAI 将入驻”这一公开动态。以下先呈现从来源页面抓取的正文，再给出 AIHOT 摘要与 TopoReduce 编辑解读。
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Securing the Infrastructure of Intelligence | NVIDIA Blog
AI factories are the defining infrastructure of the AI era — where compute transforms energy and data into intelligence that powers every business, industry and country.
In the AI economy, compute is revenue.
AI factories require a full stack of critical resources: advanced chips, packaging, memory and networking — as well as land, power and shell.
Just as NVIDIA has used its scale, long-term visibility and supply-chain partnerships to secure critical semiconductor resources, we are now applying that same discipline to secure LPS capacity exclusively for NVIDIA AI factories.
Today, we are partnering with SB Energy to secure LPS capacity at the exceptional PORTS-Pike Technology Campus in Portsmouth, Ohio, to host NVIDIA compute. OpenAI will be the tenant.
LPS: The Next Strategic Resource
For the vast majority of NVIDIA customers, securing LPS has long been a part of their infrastructure strategy.
The world’s largest cloud service providers and investment-grade enterprises have balance sheets, infrastructure expertise and long-term contracts to secure LPS independently. They build and operate AI factories using NVIDIA accelerated computing, networking, systems and software.
This model will continue to represent most of NVIDIA’s business.
But frontier AI labs are different.
Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support. They may have strong customer demand and rapidly growing revenue yet still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently.
Their growth is increasingly constrained not by algorithms or customer demand, but by the availability of compute.
For these companies, more compute means more intelligence, more products, more users and more revenue. NVIDIA is helping provide the infrastructure that powers this flywheel.
PORTS-Pike: A Site for Generations of NVIDIA Compute
OpenAI will build and operate a world-class AI factory at PORTS-Pike. The AI factory will use NVIDIA’s full-stack DSX AI factory platform, including GPUs, CPUs, networking and infrastructure software.
The initial deployment is expected to provide 4.25 gigawatts of AI factory capacity. Each generation of NVIDIA AI factory systems deployed at PORTS-Pike could represent approximately 1.5 million NVIDIA GPUs, or approximately $150 billion to $200 billion in NVIDIA revenue. Over 20 years, the site can support multiple upgrade cycles.
This is the essential economic point: the LPS commitment secures a long-lived AI factory site, while the NVIDIA compute inside can be upgraded repeatedly. Each new generation can deliver greater production, more intelligence and better economics.
NVIDIA may also choose to extend the arrangement at PORTS-Pike beyond the initial 4.25 gigawatts to secure the remaining capacity of 3.75 gigawatts.
OpenAI and NVIDIA Expanding Compute Opportunity
More broadly, OpenAI has committed to substantial deployments of NVIDIA AI infrastructure through 2030. OpenAI’s existing and planned commitments represent approximately 12 gigawatts of NVIDIA compute, with an opportunity to expand to approximately 16 gigawatts if NVIDIA extends the PORTS-Pike arrangement beyond the initial 4.25 gigawatts.
At these levels, the opportunity represents roughly $600 billion of NVIDIA compute through 2030.
The Important Questions
What is NVIDIA guaranteeing, and for how long?
NVIDIA is supporting the LPS infrastructure at PORTS-Pike for approximately 4 gigawatts over a 20-year term, securing a site on which NVIDIA compute will be exclusively deployed.
Our support is limited to defined portions of lease and power payments, along with a specified residual-value commitment — not the full cost of the site or all of the tenant’s obligations.
The guarantee will become effective in phases as data centers are placed in service between 2028 and 2030. As OpenAI makes lease payments and capacity comes online, NVIDIA’s remaining exposure declines.
Why is NVIDIA guaranteeing PORTS-Pike?
LPS has become a critical constraint on AI factory deployment. NVIDIA is selectively securing exceptional sites where we can host multiple generations of NVIDIA compute and serve durable customer demand.
The productive life of the site extends through multiple generations of NVIDIA systems, each capable of producing more intelligence and more revenue than the generation before.
Is this circular financing?
No. OpenAI will pay the lease.
NVIDIA uses its scale and long-term visibility to secure PORTS-Pike to host NVIDIA compute. This is the same discipline we apply to supply-chain management: we secure critical inputs when we have visibility into customer demand and when doing so enables long-term productive capacity.
What happens to PORTS-Pike if OpenAI does not use the site in the future?
NVIDIA compute is versatile, fungible and broadly adopted. The capacity can be resold to another qualified tenant across NVIDIA’s global ecosystem of cloud service providers, enterprises, AI labs and startups.
CUDA makes NVIDIA compute more than hardware. It gives developers and NVIDIA engineers a common platform to continually improve installed systems.
CUDA makes NVIDIA compute versatile. Versatility makes it fungible. Fungibility drives utilization and durability — making NVIDIA compute a productive asset: rentable and financeable.
The value of an exceptional site, like PORTS-Pike, is not limited to one customer or one generation of compute. NVIDIA’s standardized platform, broad developer ecosystem and large market of potential users support the ability to redeploy productive capacity over time.
How much LPS will NVIDIA secure?
It will be strategic and disciplined.
Most NVIDIA customers will continue to secure their own LPS. The vast majority of LPS hosting NVIDIA compute will continue to be secured directly by CSPs, enterprises, sovereign AI builders and other customers.
NVIDIA will focus selectively on exceptional sites where visible, durable demand can support multiple generations of NVIDIA compute.
The Infrastructure of Intelligence
PORTS-Pike represents the next step in NVIDIA’s journey.
We began by building accelerated computing chips. We then expanded to systems, networking, CUDA and full-stack AI factories. Today, we are helping secure the critical infrastructure required to build these factories.
NVIDIA is the full-stack AI infrastructure platform.
We are investing in the long-lived foundations of AI factories so our customers can deploy the most productive compute platform in the world, generation after generation.
By securing the critical resources needed to host NVIDIA compute, we can help the world’s most innovative companies build the AI factories that will power the age of intelligence.
- Categories:
- AI Infrastructure
- Corporate
- Tags:
- AI Factory
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In the AI economy, compute is revenue.
AI factories require a full stack of critical resources: advanced chips, packaging, memory and networking — as well as land, power and shell.
Just as NVIDIA has used its scale, long-term visibility and supply-chain partnerships to secure critical semiconductor resources, we are now applying that same discipline to secure LPS capacity exclusively for NVIDIA AI factories.
Today, we are partnering with SB Energy to secure LPS capacity at the exceptional PORTS-Pike Technology Campus in Portsmouth, Ohio, to host NVIDIA compute. OpenAI will be the tenant.
LPS: The Next Strategic Resource
For the vast majority of NVIDIA customers, securing LPS has long been a part of their infrastructure strategy.
The world’s largest cloud service providers and investment-grade enterprises have balance sheets, infrastructure expertise and long-term contracts to secure LPS independently. They build and operate AI factories using NVIDIA accelerated computing, networking, systems and software.
This model will continue to represent most of NVIDIA’s business.
But frontier AI labs are different.
Frontier AI labs have extraordinary demand for training and inference compute, but many are growing faster than their balance sheets and long-term credit profiles can support. They may have strong customer demand and rapidly growing revenue yet still lack the decades-long infrastructure contracts and investment-grade financing capacity needed to secure the AI factory infrastructure independently.
Their growth is increasingly constrained not by algorithms or customer demand, but by the availability of compute.
For these companies, more compute means more intelligence, more products, more users and more revenue. NVIDIA is helping provide the infrastructure that powers this flywheel.
PORTS-Pike: A Site for Generations of NVIDIA Compute
OpenAI will build and operate a world-class AI factory at PORTS-Pike. The AI factory will use NVIDIA’s full-stack DSX AI factory platform, including GPUs, CPUs, networking and infrastructure software.
The initial deployment is expected to provide 4.25 gigawatts of AI factory capacity. Each generation of NVIDIA AI factory systems deployed at PORTS-Pike could represent approximately 1.5 million NVIDIA GPUs, or approximately $150 billion to $200 billion in NVIDIA revenue. Over 20 years, the site can support multiple upgrade cycles.
This is the essential economic point: the LPS commitment secures a long-lived AI factory site, while the NVIDIA compute inside can be upgraded repeatedly. Each new generation can deliver greater production, more intelligence and better economics.
NVIDIA may also choose to extend the arrangement at PORTS-Pike beyond the initial 4.25 gigawatts to secure the remaining capacity of 3.75 gigawatts.
OpenAI and NVIDIA Expanding Compute Opportunity
More broadly, OpenAI has committed to substantial deployments of NVIDIA AI infrastructure through 2030. OpenAI’s existing and planned commitments represent approximately 12 gigawatts of NVIDIA compute, with an opportunity to expand to approximately 16 gigawatts if NVIDIA extends the PORTS-Pike arrangement beyond the initial 4.25 gigawatts.
At these levels, the opportunity represents roughly $600 billion of NVIDIA compute through 2030.
The Important Questions
What is NVIDIA guaranteeing, and for how long?
NVIDIA is supporting the LPS infrastructure at PORTS-Pike for approximately 4 gigawatts over a 20-year term, securing a site on which NVIDIA compute will be exclusively deployed.
Our support is limited to defined portions of lease and power payments, along with a specified residual-value commitment — not the full cost of the site or all of the tenant’s obligations.
The guarantee will become effective in phases as data centers are placed in service between 2028 and 2030. As OpenAI makes lease payments and capacity comes online, NVIDIA’s remaining exposure declines.
Why is NVIDIA guaranteeing PORTS-Pike?
LPS has become a critical constraint on AI factory deployment. NVIDIA is selectively securing exceptional sites where we can host multiple generations of NVIDIA compute and serve durable customer demand.
The productive life of the site extends through multiple generations of NVIDIA systems, each capable of producing more intelligence and more revenue than the generation before.
Is this circular financing?
No. OpenAI will pay the lease.
NVIDIA uses its scale and long-term visibility to secure PORTS-Pike to host NVIDIA compute. This is the same discipline we apply to supply-chain management: we secure critical inputs when we have visibility into customer demand and when doing so enables long-term productive capacity.
What happens to PORTS-Pike if OpenAI does not use the site in the future?
NVIDIA compute is versatile, fungible and broadly adopted. The capacity can be resold to another qualified tenant across NVIDIA’s global ecosystem of cloud service providers, enterprises, AI labs and startups.
CUDA makes NVIDIA compute more than hardware. It gives developers and NVIDIA engineers a common platform to continually improve installed systems.
CUDA makes NVIDIA compute versatile. Versatility makes it fungible. Fungibility drives utilization and durability — making NVIDIA compute a productive asset: rentable and financeable.
The value of an exceptional site, like PORTS-Pike, is not limited to one customer or one generation of compute. NVIDIA’s standardized platform, broad developer ecosystem and large market of potential users support the ability to redeploy productive capacity over time.
How much LPS will NVIDIA secure?
It will be strategic and disciplined.
Most NVIDIA customers will continue to secure their own LPS. The vast majority of LPS hosting NVIDIA compute will continue to be secured directly by CSPs, enterprises, sovereign AI builders and other customers.
NVIDIA will focus selectively on exceptional sites where visible, durable demand can support multiple generations of NVIDIA compute.
The Infrastructure of Intelligence
PORTS-Pike represents the next step in NVIDIA’s journey.
We began by building accelerated computing chips. We then expanded to systems, networking, CUDA and full-stack AI factories. Today, we are helping secure the critical infrastructure required to build these factories.
NVIDIA is the full-stack AI infrastructure platform.
We are investing in the long-lived foundations of AI factories so our customers can deploy the most productive compute platform in the world, generation after generation.
By securing the critical resources needed to host NVIDIA compute, we can help the world’s most innovative companies build the AI factories that will power the age of intelligence.
- Categories:
- AI Infrastructure
- Corporate
- Tags:
- AI Factory
Related News
Corporate
Securing the Infrastructure of Intelligence
Aug 17, 2026
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Universitas Gadjah Mada, Indosat and NVIDIA Open Indonesia’s First University AI Center to Develop Local AI Talent
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AIHOT 摘要
NVIDIA 宣布与 SB Energy 合作，锁定俄亥俄州 PORTS-Pike 科技园区的电力容量（LPS）以独家部署 NVIDIA 算力，OpenAI 将成为租户。
为什么值得关注
NVIDIA以20年租约担保为OpenAI锁定4.25GW容量，把AI工厂重资产负担部分转由自己承担，使高增长实验室能越过资产负债表限制获取算力。
工程化解读
从 TopoReduce 的工程视角看，这条信息属于“基础设施与部署”主题。它的价值不只在于一个新产品或新观点本身，还在于说明 AI 系统正在如何影响模型接入、智能体协作、研发流程、基础设施和团队决策。实际采用前，应结合原文确认版本、适用范围、价格和运行条件。
- 发布时间：2026-08-17；AIHOT 分类：基础设施与部署。
- AIHOT 标签：
- AIHOT 判断：NVIDIA以20年租约担保为OpenAI锁定4.25GW容量，把AI工厂重资产负担部分转由自己承担，使高增长实验室能越过资产负债表限制获取算力。
- AIHOT 评分：77；评分用于站内排序，不等同于独立评测结论。
TopoReduce 编辑观察
当 AI 动态进入真实生产环境，团队需要同时关注能力边界、数据来源、调用成本、权限控制和可回滚性。把单条新闻放回完整工程链路中阅读，比只看标题更有助于判断它是否适合自己的产品和工作流。