Huddle01 Cloud icon
Huddle01 Cloud icon

Huddle01 Cloud

Huddle01 Cloud is a developer-focused cloud platform that delivers high-performance infrastructure at up to 70% lower costs, without the complexity of hyperscalers or the compromises of budget providers.

Cost / License

  • Pay once or Subscription
  • Proprietary

Application types

Platforms

  • Online
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  1.  Kubernetes
  2.  Cloud Hosting

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Huddle01 Cloud information

  • Developed by

    Ayush Ranjan

  • Licensing

    Proprietary and Commercial product.

  • Pricing

    One time purchase that costs $0, and / or subscription that costs $0 per month.

  • Alternatives

    13 alternatives listed

  • Supported Languages

    • English
Huddle01 Cloud was added to AlternativeTo by Huddle01 on and this page was last updated .
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What is Huddle01 Cloud?

Huddle01 started as real-time video infrastructure that scaled to 200,000+ users globally. Running at that scale showed us exactly what cloud infrastructure costs, and how much of your bill is margin, not value. So we built our own cloud, focused on the fundamentals: raw performance, transparent pricing, and zero lock-in.

The platform runs on AMD EPYC processors, DDR4 ECC memory, and NVMe storage across all regions. Unlimited egress is included by default, so bandwidth never becomes a billing surprise. Core services include Compute Instances, Managed Kubernetes and Docker, Load Balancers, and Elastic Block Storage, with more on the roadmap. Every region ships with SOC 2 compliance, and the Mumbai region offers sub-20ms latency and full DPDPA compliance for teams with Indian data residency requirements.

The cloud market has two extremes: hyperscalers with 100+ services built for Fortune 500 ops teams, and local providers selling cheap VMs while cutting corners. That gap is about to matter a lot more. We're entering a world where machines provision machines and deployment happens through APIs. Production backends and stateful services don't get simpler because you wrapped them in a UI. What matters is the raw performance, reliability, and economics of the compute underneath.

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