- GPU instance hourly billing
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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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 plan | No |
|---|---|
| Free trial details | |
| Pricing model | Paid |
| Is credit card required | No |
| Paid from | 1.3 USD |
| Has lifetime plan | No |
| Billing frequency | Hourly |
Details of Pricing Plan
H100 SXM
2.1 USDA100 80GB SXM
1.3 USD- GPU instance hourly billing
H200 SXM
2.3 USD- GPU instance hourly billing
FAQs of FluidStack
FluidStack Company Information
Analytic of FluidStack
Visit Over Time
Monthly Visits
101.0k
Avg Visit Duration
00:01:01
Page Per Visit
2.68
Bounce Rate
39.57%
Feb 2026 - Apr 2026 All Traffic
Geography
Top 5 Regions
United States
83.49%
United Kingdom
4.32%
Canada
1.59%
India
1.29%
Vietnam
1.02%
Feb 2026 - Apr 2026 Worldwide Desktop Only
Traffic Sources
SearchOrganic
33.62%
SocialOrganic
33.30%
Direct
25.65%
Referrals
4.11%
Mail
3.20%
GenAi
0.12%
Affiliate
0.00%
DisplayAds
0.00%
SearchPaid
0.00%
SocialPaid
0.00%
Feb 2026 - Apr 2026 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| fluidstack | 33.2k | $ 1.90 |
| fluid stack | 3.2k | $ 3.08 |
| fluidstack careers | 1.2k | $ 1.47 |
| fluidstack anthropic | 70 | $ -- |
| fluidstack jobs electrician | 270 | $ -- |
FluidStack Reviews
5/5
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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