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.
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.
FluidStack Product Information
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 of FluidStack
- 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 of FluidStack
- 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
FAQs of FluidStack
FluidStack Company Information
- Website: https://www.fluidstack.io
- Company Name: FluidStack
- Support Email: sales@fluidstack.io
- Facebook: NA
- X(Twitter): NA
- YouTube: NA
- Instagram: NA
- Tiktok: NA
- LinkedIn: NA
Analytic of FluidStack
Visit Over Time
Monthly Visits
22.5k
Avg Visit Duration
00:01:25
Page Per Visit
2.65
Bounce Rate
45.24%
Jun 2024 - Aug 2024 All Traffic
Geography
Top 5 Regions
United States
57.26%
Vietnam
7.58%
India
7.54%
United Kingdom
7.28%
Spain
5.21%
Jun 2024 - Aug 2024 Worldwide Desktop Only
Traffic Sources Traffic Sources
Direct
47.05%
Search
41.03%
Referrals
8.14%
Social
1.90%
Paid Referrals
1.81%
Mail
0.06%
Jun 2024 - Aug 2024 Desktop Only
Top Keywords
| Keyword | Traffic | Cost Per Click |
|---|---|---|
| fluidstack | 4.1k | $ 8.20 |
| fluid stack | 480 | $ -- |
| fluidstack.io affiliate program | 10 | $ -- |
| -hashed317be3c7a54b432bf120ba1a501359ab32b81dedf6b6747dc35b177de8213409hashed- | -- | $ -- |
| rent h100 gpu | 200 | $ -- |
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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