FluidStack

WebsiteContact for PricingLarge Language Models (LLMs)
FluidStack is a leading GPU cloud platform offering unlimited scale for AI and LLM training with access to over 50,000 GPUs including H100s and A100s from a global data center network.
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FluidStack

Product Information

Updated:Nov 12, 2024

What is FluidStack

FluidStack is a cloud-based GPU computing platform designed for AI, machine learning, and large language model (LLM) training and inference. It aggregates GPU capacity from data centers worldwide, providing users with instant access to a vast network of high-performance GPUs, including NVIDIA H100s and A100s. FluidStack aims to offer the largest and most cost-effective GPU cloud solution in the market, enabling businesses and researchers to scale their AI workloads efficiently.

Key Features of FluidStack

FluidStack is a leading GPU cloud platform offering unlimited scale for AI and LLM training. It provides access to over 50,000 GPUs, including NVIDIA H100s and A100s, from a global network of data centers. FluidStack allows users to instantly deploy thousands of GPUs, offers competitive pricing to reduce cloud costs, and supports various AI workloads with its extensive infrastructure.
Vast GPU Network: Access to 50,000+ GPUs including H100s and A100s from data centers across 50+ countries.
Instant Scalability: Deploy thousands of GPUs in minutes for immediate support of training and inference tasks.
Cost-Effective Pricing: Offers the best market prices for NVIDIA GPUs, potentially reducing cloud bills by over 70%.
Global Data Center Network: Utilizes 1000+ Tier 4 data centers worldwide, ensuring low-latency access and high availability.
Flexible Payment Options: Supports various payment methods including credit/debit cards and bank transfers for long-term commitments.

Use Cases of FluidStack

AI Model Training: Train large language models and foundation models with access to high-performance GPUs at scale.
Machine Learning Research: Conduct advanced ML research with on-demand access to powerful GPU clusters.
AI Inference Deployment: Deploy AI models for inference tasks with scalable GPU resources to meet varying demand.
Data Analytics: Process and analyze large datasets using GPU-accelerated computing for faster insights.
Scientific Simulations: Run complex scientific simulations that require high computational power with FluidStack's GPU resources.

Pros

Highly competitive pricing compared to major cloud providers
Instant access to a vast network of GPUs for scalability
Global presence reducing latency for international users
Flexible options for both short-term and long-term commitments

Cons

Limited payment options, primarily credit/debit cards
Free trials only available for specific use-cases and long-term commitments
Potential complexity in setting up multiple computers according to some user reviews

How to Use FluidStack

Sign up for an account: Go to the FluidStack website and create an account by providing your email address and other required information. It's recommended to use your PayPal email address for easier payments.
Check system requirements: Ensure your computer meets FluidStack's minimum requirements for bandwidth, uptime, etc. before proceeding.
Install the FluidStack software: Download and install the FluidStack application on your computer. This will run in the background to utilize your system resources.
Configure settings: Set up port forwarding or enable UPnP on your router if needed to allow FluidStack to access your network.
Choose GPU instances: Log into your FluidStack account and select the GPU instances you want to rent, such as H100s or A100s.
Deploy instances: Deploy your selected GPU instances through the FluidStack console. You can spin up instances by the minute.
Run your workloads: Use the deployed GPU instances to run your AI training, inference, or other workloads as needed.
Monitor usage and billing: Keep track of your GPU usage and associated costs through the FluidStack dashboard.
Receive payments: For those renting out resources, FluidStack will send payments to your connected PayPal account, typically at the end of each month.

FluidStack FAQs

FluidStack offers cloud-based GPU services, particularly for AI and machine learning tasks. They provide access to thousands of GPUs, including NVIDIA H100s and A100s, for training foundation models and LLMs at scale.

Official Posts

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Analytics of FluidStack Website

FluidStack Traffic & Rankings
29.6K
Monthly Visits
#1057485
Global Rank
#809
Category Rank
Traffic Trends: May 2024-Nov 2024
FluidStack User Insights
00:00:41
Avg. Visit Duration
2.52
Pages Per Visit
54.49%
User Bounce Rate
Top Regions of FluidStack

  1. US: 90.75%

  2. GB: 3.29%

  3. IN: 2.34%

  4. PH: 1.51%

  5. ID: 0.78%

  6. Others: 1.33%

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