Fluidstack
Cloud platform delivering rapid, large-scale GPU infrastructure for AI model training and inference, trusted by leading AI labs and enterprises.
Product Overview
What is Fluidstack?
Fluidstack is a specialized cloud platform offering instant access to thousands of high-performance Nvidia GPUs, including H100s and A100s, for demanding AI workloads. Founded in 2017 at Oxford University, Fluidstack serves top AI companies by providing fully managed GPU clusters and on-demand instances, enabling seamless multi-thousand GPU training and inference at exascale scale. The platform emphasizes affordability, operational reliability, and sustainability, with deployments powered by 100% renewable energy in select regions. Users benefit from quick cluster provisioning, expert support, and flexible deployment options, making Fluidstack a preferred choice for organizations building and scaling advanced AI models.
Key Features
Rapid Access to Large-Scale GPU Clusters
Deploy multi-thousand GPU clusters-including the latest Nvidia H100s and A100s-within days for large-scale AI training and inference workloads.
Fully Managed Infrastructure
Clusters are managed end-to-end by Fluidstack’s team, with deployment options on Kubernetes or Slurm, allowing users to focus on model development instead of infrastructure.
Flexible Deployment and Pricing
Choose between on-demand GPU instances or reserved clusters, with competitive pricing and the ability to lock in savings for long-term projects.
Sustainable and Energy-Efficient Operations
Deploy GPU clusters in data centers powered by 100% renewable energy, supporting environmentally conscious AI development.
24/7 Expert Support
Benefit from dedicated support with a 15-minute response time and 99% uptime, ensuring uninterrupted operations for critical workloads.
Use Cases
- Training Large Language Models : AI labs and research teams can train and fine-tune foundation models and LLMs on powerful, scalable GPU clusters.
- Enterprise AI Deployment : Businesses can launch and manage production-grade AI services requiring high reliability and rapid scaling.
- AI Research and Prototyping : Researchers can quickly access GPU resources for experimentation, benchmarking, and developing new AI techniques.
- Rendering and High-Performance Computing : Organizations can leverage Fluidstack’s infrastructure for rendering, simulation, and other compute-intensive tasks beyond AI.
FAQs
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Analytics of Fluidstack Website
🇺🇸 US: 69.48%
🇵🇱 PL: 4.12%
🇮🇳 IN: 3.56%
🇬🇧 GB: 2.96%
🇹🇭 TH: 2.24%
Others: 17.64%