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Report: Amazon bought large volumes of Nvidia AI hardware, but some racks are reportedly idle because power is tight
The Apex Times

THE APEX TIMES

Business/The Apex Times/Oct 21, 2:14 PM EDT

Report: Amazon bought large volumes of Nvidia AI hardware, but some racks are reportedly idle because power is tight

A new report says Amazon.com is struggling to connect newly purchased Nvidia server racks to enough electricity to run them, highlighting a growing constraint in the AI buildout: not just chips, but the power and infrastructure to operate them.

By The Apex Times Newsroom2 min readAI-assisted Apex article

’s push to expand its artificial-intelligence infrastructure appears to be running into an unglamorous bottleneck, power delivery. Business Insider, via Yahoo Finance, reported that some newly acquired Nvidia server racks are sitting in warehouses because Amazon’s data centers do not yet have enough electricity to operate them.

The report frames the issue as a mismatch between the speed of AI hardware procurement and the timelines for expanding the power grid and on-site capacity. In other words, even when companies can obtain high-demand Nvidia chips and complete server systems, they still need the electrical hookups and capacity to turn that hardware into usable computing.

According to the same account, Amazon is buying large volumes of Nvidia AI hardware, described in the report as running into the billions. Yet the power constraint means not every new rack can be deployed immediately, leaving physical equipment staged off-site rather than running workloads.

For Nvidia, the story underscores both the strength of demand for its data-center platforms and the operational reality that limits deployment speed for large customers. Nvidia sells not only chips but also sells the broader ecosystem that typically includes tightly integrated hardware and software components designed for AI training and inference, making customer rollout timelines especially sensitive to data-center constraints.

The broader technology sector has been grappling with power as a structural limitation. AI data centers require sustained electricity, cooling, and high-throughput connectivity, and those supporting systems often take longer to expand than procurement cycles for accelerators and servers.

Amazon did not provide details in the reported account about how much hardware is idle, how long it is expected to remain unused, or which specific facilities are most constrained. The report also does not quantify whether the staged racks represent a small fraction of Amazon’s total AI infrastructure or a more material portion of its current buildout.

There is also uncertainty about how quickly the power gap can close. Grid upgrades can involve utility coordination, permitting, construction, and engineering work that varies by location, and it is not clear from the report whether Amazon’s constraints are temporary or tied to longer-term planning.

What to watch next is whether Amazon and Nvidia begin providing more granular disclosures about AI infrastructure deployment, power availability, and capacity expansion. For markets, any shift from procurement-led momentum toward power-led pacing would be a key indicator of how fast AI compute supply can translate into operational results.

Why It Matters

  • AI expansion is increasingly constrained by data-center infrastructure, especially electricity availability, not just by chip supply.
  • If large portions of hardware remain idle, it can slow the conversion of AI capex into delivered compute and workloads.
  • The pacing of customer deployments can influence near-term expectations for how quickly AI demand translates into usable capacity.
  • For Nvidia, customer rollout limits may shape how quickly demand becomes reflected in operating results, even when orders remain strong.

Sources

Key Facts

  • A report says Amazon has bought large volumes of Nvidia AI hardware described as running into the billions.
  • The report says some newly acquired server racks are reportedly sitting in warehouses.
  • The reason given is that Amazon’s data centers reportedly lack sufficient electricity to power the new racks.
  • The report frames the situation as a timing mismatch between AI hardware delivery and data-center power readiness.
  • NVIDIA is the supplier of the chips used in many AI server builds, and the story highlights operational constraints beyond chip availability.

Technology Related

Report: Amazon bought large volumes of Nvidia AI hardware, but some racks are reportedly idle because power is tight | The Apex Times