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FluidStack

FluidStack

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FluidStack
Featured

What is FluidStack?

FluidStack provides a high-performance GPU cloud infrastructure tailored for AI and large language model training. With access to over 50,000 GPUs, including NVIDIA H100s and A100s, users can scale their computational needs seamlessly. The platform ensures affordability, reducing cloud bills by more than 70%. Trusted by leading AI companies, FluidStack is designed to handle intensive computational tasks, from training AI models to serving inferences.

Who will use FluidStack?

  • AI researchers
  • Data scientists
  • Machine learning engineers
  • Tech startups
  • Businesses requiring scalable GPU computing

How to use the FluidStack?

  • Step1: Visit fluidstack.io and sign up for an account.
  • Step2: Choose the GPU package suited for your requirements.
  • Step3: Deploy your instances using the FluidStack console.
  • Step4: Scale your AI and ML tasks by leveraging the high-performance GPUs.
  • Step5: Monitor and manage your usage through the dashboard.

Platform

  • web

FluidStack's Core Features & Benefits

The Core Features

  • Access to 50,000+ GPUs
  • Supports NVIDIA H100s and A100s
  • Global data center network
  • Scalable infrastructure

The Benefits

  • Significant cost reduction
  • High-performance computing
  • Scalable solution
  • Trusted by leading AI companies

FluidStack's Main Use Cases & Applications

  • AI model training
  • Large language model training
  • Scalable inference serving
  • Research and development
  • Data-intensive computational tasks

FluidStack's Pros & Cons

The Pros

Cost-effective cloud computing by utilizing idle hardware resources
Eco-friendly by reducing waste and optimizing energy consumption
Scalable and flexible platform suitable for large-scale computations
Provides an alternative to traditional centralized cloud providers

The Cons

Potential variability in resource availability due to decentralized nature
Less control over hardware specifications compared to dedicated cloud providers
Possibly limited support or ecosystem compared to major cloud platforms

FluidStack's Pricing

Has free planNo
Free trial details
Pricing modelPaid
Is credit card requiredNo
Paid from1.3 USD
Has lifetime planNo
Billing frequencyHourly

Details of Pricing Plan

On Demand A100 80GB SXM

1.3 USD
  • Hourly billing
  • Scale in minutes
  • No egress or ingress fees
  • On-node NVMe storage included

On Demand H100 SXM

2.1 USD
  • Hourly billing
  • Scale in minutes
  • No egress or ingress fees
  • On-node NVMe storage included

On Demand H200 SXM

2.3 USD
  • Hourly billing
  • Scale in minutes
  • No egress or ingress fees
  • On-node NVMe storage included

Reserved Clusters

0 USD
  • 256 - 10k+ GPUs
  • Monthly or annual terms with discounts
  • Guaranteed resources

Private Cloud

0 USD
  • Custom GPU count
  • Custom term
  • Dedicated clusters
  • Flexible terms
  • Region-specific deployments
For the latest prices, please visit: https://fluidstack.io

FAQs of FluidStack

FluidStack Company Information

  • Website: https://fluidstack.io
  • Company Name: FluidStack
  • Support Email: [email protected]
  • Facebook: https://www.facebook.com/FluidStack.io/
  • X(Twitter): https://twitter.com/fluidstackio
  • YouTube: NA
  • Instagram: NA
  • Tiktok: NA
  • LinkedIn: https://uk.linkedin.com/company/fluidstack

Analytic of FluidStack

Visit Over Time

Monthly Visits
60.2k
Avg Visit Duration
00:00:56
Page Per Visit
2.76
Bounce Rate
40.97%
Sep 2025 - Nov 2025 All Traffic

Geography

Top 5 Regions
United States
69.48%
Poland
4.12%
India
3.56%
United Kingdom
2.97%
Thailand
2.24%
Sep 2025 - Nov 2025 Worldwide Desktop Only

Traffic Sources

Direct
54.38%
Search
34.04%
Referrals
6.16%
Social
3.99%
Paid Referrals
1.33%
Mail
0.08%
Sep 2025 - Nov 2025 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
fluidstack24.8k $ 5.75
fluid stack1.2k $ 11.63
atlas os102.6k $ 0.21
anthropic fluidstack380 $ --
fluidstack data centers290 $ --

FluidStack Reviews

5/5
Do You Recommend FluidStack? Leave a Comment Below!

FluidStack's Main Competitors and alternatives?

  • Google Cloud TPU
  • Amazon EC2 GPU instances
  • Microsoft Azure GPU
  • IBM Cloud GPU
  • Oracle Cloud Infrastructure GPU

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