Forum and Edge Node AI Launched Joint Venture
The companies have formed Forum Edge AI LLC to deploy artificial intelligence inference computing across the United States.
Updated on Oct. 12, 2026 in Data Centers
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Forum and Edge Node AI have launched a joint venture, Forum Edge AI LLC, to expand AI inference computing capacity. The partnership utilizes existing data center infrastructure and mobile communications towers to place high-performance GPU computing closer to metropolitan customers.
Why it matters
By placing GPU computing closer to users, the venture aims to significantly reduce latency for AI applications. This strategy leverages pre-existing power and connectivity to accelerate the deployment of localized artificial intelligence services.
The venture operates an initial 2 MW capacity in Dallas and has acquired a 9 MW power-rated campus in High Point, North Carolina. Forum maintains a 51% ownership stake in the new LLC, while NVIDIA partner Edge Node AI holds 49%.
The players
Forum
This firm is a data center operator that holds a 51% stake in the newly formed joint venture.
Edge Node AI
This organization is an NVIDIA partner that holds a 49% stake in the new joint venture.
Forum Edge AI LLC
This is the management entity formed to oversee the joint venture and its portfolio of computing assets.
The details
The project uses a hub-and-spoke model to link data centers with mobile communications towers, funding infrastructure costs through customer deposits and financing. The companies have also agreed to swap 9.95% equity stakes, provided that specific operational milestones are met.
Timeline
Q1 2027: 6 MW of GPU capacity energizes in High Point.
Early 2027: Dallas facility capacity increases to 4 MW.
Early 2027: Forum expects to reach cash flow positive status.
Mid-2027: First mobile tower installation deployment begins.
2027: Forum projects annual revenue between US$125 million and US$175 million.
The Tech Race
This initiative represents a strategic shift toward edge computing to optimize the performance of NVIDIA GPU computing architecture. It positions the venture to capture market share by moving away from centralized cloud models toward distributed, localized inference nodes.
Customers in metropolitan areas may experience faster response times and lower latency when using AI-driven applications. These infrastructure upgrades support the expansion of local artificial intelligence capabilities that rely on near-instant data processing.
The takeaway
The transition toward edge-based AI nodes highlights a growing demand for proximity-based computing in metropolitan hubs. Businesses planning for AI integration should prepare for increased reliance on distributed infrastructure to ensure high-speed performance.
Further reading
Learn more about industry trends in Data Centers.
Source note: This article includes information reported by Intelligentcio.
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