"Accelerates the world’s most ambitious AI projects by removing compute bottlenecks"
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Regina Lee
Regina Lee has evaluated Fluidstack for Scientific Research. With expertise in AI tools, Regina Lee identifies this tool as especially effective for scientists requiring AI tools functionality.
Pricing: starts at $10 / month(Updated February 2026)
Pay-per-use hourly rates (e.g. H100 SXM $2.10/GPU/hour, A100 80GB $1.30/GPU/hour), Reserved Clusters (monthly/annual discounted), Private Cloud (custom). No fixed monthly plans.
Usage Model: Pay-as-You-Go — ensuring you only pay for what you actually use.
Fluidstack's usage-based pricing model at starts at $10 / month charges scientists based on actual scientific research consumption. This pay-as-you-go approach is perfect for those with variable needs, as costs directly reflect usage. For scientists with unpredictable scientific research requirements, this model provides better value than fixed monthly subscriptions.
Fluidstack is an AI-focused cloud platform providing GPU compute capacity through a marketplace of third-party resources and owned private cloud infrastructure, serving top AI labs with scalable clusters up to 30,000 GPUs.
Understanding the core functionality and approach of Fluidstack.
Pay-as-you-go pricing means Fluidstack costs scale with your actual usage. No wasted spend on unused seats or features you don't need yet. Integrations with Plugin/Integration keep work connected.
Explore the powerful features that make Fluidstack stand out.
Official API docs and clear auth flows—ideal for custom automations.
Developers get client libraries that smooth integration work.
Self-service resources plus agent assist features shorten resolution times. Support leaders get knowledge, automation, and collaboration in one place.
Discover how different audiences leverage Fluidstack for their specific needs.
Configuration stays flexible so teams can tailor it to their operating model. Usage-based billing keeps costs aligned with real adoption.
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Use this page as a starting point to evaluate Fluidstack alongside similar options. Our directory focuses on practical details that matter for adoption—capabilities, pricing signals, integrations, and real audiences—so you can shortlist with confidence and move from exploration to evaluation faster.
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Before adopting any tool, model your total cost at expected usage, verify integration coverage and API quality, and review privacy, security, and compliance. A short pilot on a real workflow will reveal reliability and fit quickly. Bookmark this site to track updates to Fluidstack and the broader ecosystem over time.
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