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Anthropic and OpenAI hunt for smaller data center deals

Anthropic and OpenAI are exploring opportunities for smaller data center deals, sources told CNBC, as the race to deploy AI capacity ramps up.

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Source-page capture accompanying Anthropic and OpenAI hunt for smaller data center deals
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cnbc.com
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cnbc.comhttps://www.cnbc.com/2026/09/18/anthropic-openai-small-ai-data-center-deals.html
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Reporting by a news outlet — not a first-party document.

What we could not confirm independently: This claim is attributed to the named outlet. We did not verify it against a first-party document. (cnbc.com)

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Key terms

Compute
The processing resources required to train and run models, often measured in FLOPS or GPU hours.
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What happened

Anthropic and OpenAI are hunting for smaller AI data center deals, sources told CNBC, as the race to access the infrastructure needed to deploy workloads ramps up. Both companies have announced a flurry of AI infrastructure deals over the past year as they've looked to train and serve their models to end users. Deals to secure smaller allocations of allow companies to deploy workloads faster amid the AI boom.

Anthropic and OpenAI are hunting for smaller AI data center deals, sources told CNBC, as the race to access the infrastructure needed to deploy workloads ramps up.

Both companies have announced a flurry of AI infrastructure deals over the past year as they've looked to train and serve their models to end users.

Deals to secure smaller allocations of allow companies to deploy workloads faster amid the AI boom.

Smaller capacity deals are often attractive because of “speed to usable capacity,” one analyst told CNBC.

Securing a few megawatts at an existing powered site can be more practical than waiting for a much larger block in one location.

For workloads that can operate across separate sites, a collection of smaller deployments can add up to substantial capacity.

Source details: cnbc.com

Why it matters

The shift to smaller data center deals is significant because it allows companies to deploy workloads faster and more efficiently. This is particularly important for AI companies like Anthropic and OpenAI, which need to process large amounts of data to train and serve their models. The ability to deploy workloads quickly and efficiently is critical for these companies to remain competitive in the AI market.

The shift to smaller data center deals is significant because it allows companies to deploy workloads faster and more efficiently.

This is particularly important for AI companies like Anthropic and OpenAI, which need to process large amounts of data to train and serve their models.

The ability to deploy workloads quickly and efficiently is critical for these companies to remain competitive in the AI market.

The shift to smaller data center deals is also driven by the increasing demand for AI capacity.

As more companies turn to AI to drive their business, the demand for capacity is growing rapidly.

This has led to a surge in the construction of new data centers and the expansion of existing ones.

Interactive Mechanism

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Agent Lifecycle Stage:
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User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
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What to watch next

The impact of the shift to smaller data center deals on the AI market. The ability of companies like Anthropic and OpenAI to deploy workloads quickly and efficiently will be critical to their success in the market.

The impact of the shift to smaller data center deals on the AI market.

The ability of companies like Anthropic and OpenAI to deploy workloads quickly and efficiently will be critical to their success in the market.

The increasing demand for AI capacity and the impact it will have on the data center market.

The role of smaller data center deals in enabling companies to deploy workloads faster and more efficiently.

The potential for smaller data center deals to become a standard practice in the AI industry.

The impact of the shift to smaller data center deals on the environment and energy consumption.

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