Running AI Agents in the Cloud Instead of on a Laptop

Matthew Berman argues that cloud-hosted agents can keep working when a laptop sleeps or loses connectivity. The video is sponsored by DigitalOcean.

MBMatthew Berman登壇者 · Forward Future
チャンネル
Matthew Berman
公開日
2026年6月2日
動画
1:06
読了時間
1 分
原文
英語
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要約

30 秒でわかる

Matthew Berman recommends running agents in the cloud rather than carrying an open laptop to keep local processes alive. He promotes sponsor DigitalOcean as a provider for personal and production agent workloads. Whether a cloud deployment is faster or more suitable depends on the workload, connectivity, configuration and cost.

  1. 1The open-laptop problemBerman describes keeping laptops open to prevent locally running agents from stopping.
  2. 2Cloud executionA remote environment can continue running while the laptop is closed or disconnected, if configured appropriately.
  3. 3Sponsor promotionBerman promotes DigitalOcean’s AI cloud as an option for deploying agents.

ポイント

  1. A local agent may be interrupted by laptop sleep or a lost network connection, depending on its setup.
  2. A remote runtime can keep working independently of the laptop, although remote services and connections can also fail.
  3. Parallel agents can run in cloud infrastructure, subject to resources and configuration.
  4. DigitalOcean sponsored the video, and Berman’s endorsement is a paid promotion.
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01

The case for cloud agents

Berman argues that local processes can be interrupted by sleep or connectivity loss. He suggests cloud execution and parallel work as alternatives.

People are walking around with laptops open to keep their AI agents running. Some configurations can keep a machine awake with the lid closed, but if an agent depends on a laptop and its network connection, sleep or lost Wi-Fi can interrupt the work. The exact result depends on the process and setup, not every agent necessarily stops in every case.

I prefer running agents in the cloud: a remote process can continue after the laptop is closed or disconnected, and multiple agents can work in parallel when resources permit. I call it better and faster, but that is my preference rather than a universal result; cloud jobs still depend on their own runtime, network, configuration and costs.

02

DigitalOcean sponsorship

Berman promotes DigitalOcean as a hosting provider. The claim that cloud is always faster is not established by the video.

This video is sponsored by DigitalOcean, which I recommend for personal and production agent workloads. Its [agent development kit announcement](https://www.digitalocean.com/blog/agent-development-kit) describes a hosted runtime and development tools. The sponsorship is a paid promotion, and the appropriate infrastructure depends on the specific application.

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