Fluidstack VS GPU Per Hour
Compare Fluidstack VS GPU Per Hour, what is the difference between Fluidstack and GPU Per Hour?
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Summarize
Fluidstack summarize
Fluidstack Landing Page
GPU Per Hour summarize
GPU Per Hour Landing Page
Compare Details
Fluidstack details
| Categories | AI Developer Tools, AI Models, Large Language Models (LLMs) |
| Fluidstack Website | https://fluidstack.io?utm_source=toolify |
| Added Time | December 25 2023 |
| Fluidstack Pricing | -- |
GPU Per Hour details
| Categories | AI Developer Tools, AI Tools Directory |
| GPU Per Hour Website | https://gpuperhour.com?utm_source=toolify |
| Added Time | February 16 2026 |
| GPU Per Hour Pricing | -- |
Comparison of usage
How to use Fluidstack?
To use Fluidstack, you can either reserve a large-scale GPU cluster for AI training and inference or launch on-demand GPU instances. The platform offers fully managed Kubernetes or Slurm environments, and you can contact their engineers for support.
How to use GPU Per Hour?
Visit the homepage to see a live list of available GPU instances. Use the sidebar filters to select specific GPU models, VRAM requirements, or regions. Sort the results by 'price per GPU' to find the cheapest deals. Once you find a suitable instance, click 'Deploy' to be redirected to the provider's website to start your instance.
Compare Pros between Fluidstack and GPU Per Hour
Core features of Fluidstack
- Access to thousands of NVIDIA GPUs (H100, A100, H200, GB200)
- Fully managed infrastructure with Slurm and Kubernetes
- Large scale GPU clusters for training and inference
- On-demand GPU instances
- 24/7 support with 15-minute response times
- 99% uptime guarantee
Core features of GPU Per Hour
- Real-time pricing and availability tracking for 10,000+ GPUs
- Head-to-head comparisons between 25+ cloud providers
- Advanced filtering by GPU model, VRAM, NVLink, and security tier
- Cost calculator to estimate true hourly expenses
- Coverage of both enterprise (H100/A100) and consumer (RTX 4090/3090) GPUs
Compare Use Cases
Use cases for Fluidstack
- Training large AI models
- Running inference at scale
- Deploying and managing GPU clusters
- Accelerating machine learning product development
Use cases for GPU Per Hour
- Finding the lowest hourly rate for an NVIDIA H100 SXM instance
- Comparing the cost and features of AWS versus specialized providers like RunPod
- Locating available RTX 4090 stock for distributed machine learning training
Fluidstack's traffic
Fluidstack is the one with 101.4K monthly visits and 00:01:06 Avg.visit duration. Fluidstack has a Page per visit of 2.58 and a bounce rate of 39.33%.
Visit Over Time
| Monthly Visits | 101.4K |
| Avg·visit Duration | 00:01:06 |
| Page per Visit | 2.58 |
| Bounce Rate | 39.33% |
GPU Per Hour's traffic
GPU Per Hour is the one with 11.0K monthly visits and 00:00:09 Avg.visit duration. GPU Per Hour has a Page per visit of 1.81 and a bounce rate of 38.98%.
Visit Over Time
| Monthly Visits | 11.0K |
| Avg·visit Duration | 00:00:09 |
| Page per Visit | 1.81 |
| Bounce Rate | 38.98% |
Geography
The top 5 countries/regions for Fluidstack are:United States 80.13%, United Kingdom 6.42%, India 2.15%, Canada 1.61%, Vietnam 1.48%
Top 5 Countries/regions
 | 80.13% |
 | 6.42% |
 | 2.15% |
 | 1.61% |
 | 1.48% |
Geography
The top 5 countries/regions for GPU Per Hour are:United States 24.31%, Nigeria 20.53%, Vietnam 15.94%, India 12.34%, Germany 6.48%
Top 5 Countries/regions
| 24.31% |
 | 20.53% |
| 15.94% |
| 12.34% |
 | 6.48% |
Traffic Sources
The 6 main sources of traffic to Fluidstack are:vs_sourcesSearchOrganic 34.64%, vs_sourcesSocialOrganic 31.53%, Direct 25.60%, Referrals 5.40%, Mail 1.88%, vs_sourcesGenAi 0.94%, vs_sourcesAffiliate 0.00%, vs_sourcesDisplayAds 0.00%, vs_sourcesSearchPaid 0.00%, vs_sourcesSocialPaid 0.00%
vs_sourcesSearchOrganic | 34.64% |
vs_sourcesSocialOrganic | 31.53% |
Direct | 25.60% |
Referrals | 5.40% |
Mail | 1.88% |
vs_sourcesGenAi | 0.94% |
vs_sourcesAffiliate | 0.00% |
vs_sourcesDisplayAds | 0.00% |
vs_sourcesSearchPaid | 0.00% |
vs_sourcesSocialPaid | 0.00% |
Traffic Sources
The 6 main sources of traffic to GPU Per Hour are:Mail 0, vs_sourcesGenAi 0, Direct 0, vs_sourcesAffiliate 0, Referrals 0, vs_sourcesDisplayAds 0, vs_sourcesSearchPaid 0, vs_sourcesSocialPaid 0, vs_sourcesSearchOrganic 0, vs_sourcesSocialOrganic 0
Mail | 0 |
vs_sourcesGenAi | 0 |
Direct | 0 |
vs_sourcesAffiliate | 0 |
Referrals | 0 |
vs_sourcesDisplayAds | 0 |
vs_sourcesSearchPaid | 0 |
vs_sourcesSocialPaid | 0 |
vs_sourcesSearchOrganic | 0 |
vs_sourcesSocialOrganic | 0 |
Which is better: Fluidstack or GPU Per Hour?
Fluidstack might be a bit more popular than GPU Per Hour.As you can see, Fluidstack has 101.4K monthly visits, while GPU Per Hour has 11.0K monthly visits. So more people choose Fluidstack. So the odds are that people will recommend Fluidstack more on social platforms.
Fluidstack has an Avg.visit duration of 00:01:06, while GPU Per Hour has an Avg.visit duration of 00:00:09. Also, Fluidstack has a page per visit of 2.58 and a Bounce Rate of 39.33%. GPU Per Hour has a page per visit of 1.81 and a Bounce Rate of 38.98%.
The main users of Fluidstack are United States, United Kingdom, India, Canada, Vietnam, with the following distribution: 80.13%, 6.42%, 2.15%, 1.61%, 1.48%.
The main users of GPU Per Hour are United States, Nigeria, Vietnam, India, Germany, with the following distribution: 24.31%, 20.53%, 15.94%, 12.34%, 6.48%.
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