Fluidstack
Visit- Introduction:
Instant access to high-performance GPU clusters for AI training.
- Added on:
Aug 21 2024
- Company:
FluidStack
Introducing FluidStack: Your Ultimate GPU Cloud for AI and LLM Training
FluidStack is a leading GPU cloud platform designed to accelerate AI and large language model (LLM) training. Offering instant access to thousands of the latest Nvidia GPUs, FluidStack provides both on-demand instances and reserved clusters tailored to your specific needs. With a fully managed infrastructure, proactive support, and seamless scalability, FluidStack allows developers and AI labs to focus on their models while we handle the complexities of GPU management. Whether you're working on small-scale projects or large-scale AI deployments, FluidStack delivers the performance and reliability needed to drive innovation forward.
Key Functions of FluidStack
On-Demand GPU Instances
Example
Launching a GPU instance in under 5 minutes.
Scenario
A data scientist needing immediate access to GPUs for a time-sensitive AI experiment can quickly deploy and scale up instances as required.
Reserved GPU Clusters
Example
Reserving a dedicated cluster for 30 days or longer.
Scenario
An AI lab planning to train a large language model over several weeks can reserve a high-end GPU cluster, ensuring consistent performance and dedicated support.
Fully Managed Infrastructure
Example
Proactive debugging and 24/7 support.
Scenario
A development team working on complex AI projects can rely on FluidStack's managed services to handle infrastructure issues, allowing them to focus entirely on model development.
Who Benefits from FluidStack?
AI Researchers
AI researchers looking to conduct experiments at scale will benefit from FluidStack's high-performance GPU clusters, which offer the computational power necessary for complex model training.
Data Scientists
Data scientists requiring on-demand access to GPUs for exploratory data analysis and model training will find FluidStack's flexible and scalable instances ideal for their needs.
Tech Companies
Tech companies developing AI-driven products can leverage FluidStack to reduce infrastructure costs while speeding up time-to-market through efficient GPU management and support.
Visit Over Time
- Monthly Visits22,531
- Avg.Visit Duration00:01:26
- Page per Visit2.65
- Bounce Rate45.24%
Geography
- United States57.26%
- Vietnam7.58%
- India7.54%
- United Kingdom7.28%
- Spain5.21%
Traffic Sources
How to Get Started with FluidStack
- 1
Sign Up
Create a free account on the FluidStack platform through the signup page to access available GPUs and services.
- 2
Choose Your GPU
Select from a range of Nvidia GPUs available on-demand or reserve a dedicated cluster tailored to your specific requirements.
- 3
Deploy and Scale
Launch your GPU instances or clusters, and seamlessly scale up or down based on your project needs, with FluidStack managing the infrastructure for you.
Common Questions About FluidStack
Fluidstack Pricing
For the latest pricing, please visit this link:https://www.fluidstack.io/pricing
On-Demand GPU Instances
$0.40 to $2.99/hour
Access to a variety of Nvidia GPUs, including A100 and H100 models
No contracts or commitments required
Scale up or down in real-time as your needs change
Reserved GPU Clusters
Custom pricing based on configuration
Dedicated GPU clusters for large-scale AI training and inference
Reserved for 30 days or longer
24/7 support with a 15-minute response time
Fully managed with Kubernetes or Slurm