FluidStack

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FluidStack is a leading GPU cloud platform providing instant access to thousands of Nvidia GPUs for AI training and inference. Perfect for engineers looking to accelerate machine learning tasks flexibly and affordably.
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Apr 11 2024
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FluidStack

FluidStack

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0
65.5K
FluidStack
FluidStack is a leading GPU cloud platform providing instant access to thousands of Nvidia GPUs for AI training and inference. Perfect for engineers looking to accelerate machine learning tasks flexibly and affordably.
Added on:
Social & Email:
Platform:
Pricing:
Apr 11 2024
Paid
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What is FluidStack?

FluidStack enables AI engineers and businesses to access thousands of Nvidia GPUs instantly or reserve large-scale clusters. This cloud platform specializes in training large language models (LLMs) and foundational models, providing cost-effective solutions for high-performance computing. By connecting spare GPU resources, FluidStack manages to lower costs for users, facilitating rapid deployment and scaling of machine learning applications. It’s designed for seamless integration into workflows, ensuring that users can focus on enhancing their models without worrying about infrastructure.

Who will use FluidStack?

  • AI engineers
  • Data scientists
  • Machine learning researchers
  • Businesses requiring scalable compute power
  • Tech companies leveraging high-performance GPUs

How to use the FluidStack?

  • Step1: Sign up for a FluidStack account.
  • Step2: Choose between on-demand GPUs or reserving a cluster.
  • Step3: Specify your required GPU types and scales.
  • Step4: Deploy your AI workloads using the FluidStack console.
  • Step5: Monitor your resources and scale as needed.

Platform

  • web
  • windows
  • linux

FluidStack's Core Features & Benefits

The Core Features

  • Access to Nvidia A100 and H100 GPUs
  • On-demand and reserved GPU clusters
  • Cost-effective pricing
  • High performance with InfiniBand interconnect
  • 24/7 customer support

The Benefits

  • Rapid scaling of AI projects
  • Reduced costs compared to traditional setups
  • Seamless deployment
  • Flexibility in resource management
  • Enhanced performance for large models

FluidStack's Main Use Cases & Applications

  • Training large language models
  • Running intensive AI workloads
  • Real-time inference for machine learning applications
  • Collaborative research requiring high GPU availability

FluidStack's Pros & Cons

The Pros

Access to large-scale GPU clusters (up to 12,000+ GPUs)
High performance with >95% theoretical performance benchmark
Dedicated, fully isolated infrastructure with strong security compliance (HIPAA, GDPR, ISO27001, SOC 2 TYPE I)
Real-time monitoring with auto-remediation and 24/7 engineering support
Fast provisioning and orchestration via Atlas OS
Support for enterprise, research, sovereign, and financial AI workloads

The Cons

No indication of open-source availability
Lack of publicly accessible GitHub or developer community links
Pricing details require contact, not fully transparent on site
No direct end-user applications or AI agents offered

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

H100 SXM

2.1 USD
  • GPU instance hourly billing

A100 80GB SXM

1.3 USD
  • GPU instance hourly billing

H200 SXM

2.3 USD
  • GPU instance hourly billing
For the latest prices, please visit: https://fluidstack.io/pricing

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
65.5k
Avg Visit Duration
00:00:47
Page Per Visit
2.33
Bounce Rate
40.45%
Oct 2025 - Dec 2025 All Traffic

Geography

Top 5 Regions
United States
67.2%
India
3.05%
United Kingdom
2.79%
Vietnam
2.32%
Thailand
2.28%
Oct 2025 - Dec 2025 Worldwide Desktop Only

Traffic Sources

Direct
52.21%
Search
35.65%
Referrals
6.44%
Social
4.52%
Paid Referrals
1.09%
Mail
0.08%
Oct 2025 - Dec 2025 Desktop Only

Top Keywords

KeywordTrafficCost Per Click
fluidstack16.9k $ 3.68
fluid stack1.8k $ 6.96
atlas os109.6k $ 0.21
100k gpu credits fluidstack130 $ --
fluidstack ceo cto-- $ --

FluidStack Reviews

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

FluidStack's Main Competitors and alternatives?

  • Amazon Web Services (AWS) GPU instances
  • Google Cloud AI Platform
  • Microsoft Azure GPU services
  • IBM Watson
  • Paperspace

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