Fluidstack: AI Cloud Platform for Training and Inference

Fluidstack

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Website
Last Updated:
2025/07/08
Description:
Fluidstack is a leading AI cloud platform offering immediate access to thousands of GPUs with InfiniBand for AI training and inference. Secure, high-performance GPU clusters for research, enterprise, and sovereign AI initiatives.
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AI cloud
GPU computing
AI training
AI infrastructure
high-performance computing

Overview of Fluidstack

Fluidstack: Frontier-Grade AI Infrastructure

Fluidstack provides a leading AI cloud platform designed for training and serving frontier models securely across thousands of GPUs. With zero setup, zero egress fees, and real engineers on-call 24/7, Fluidstack is trusted by some of the most demanding teams in the AI industry.

What is Fluidstack? Fluidstack offers immediate access to vast GPU resources, enabling teams to accelerate their AI development and deployment timelines. It's a platform optimized for scale, speed, and simplicity, providing the necessary infrastructure for ambitious AI projects.

How does Fluidstack work? Fluidstack's infrastructure is purpose-built for AI, featuring:

  • Atlas OS: A bare-metal OS optimized for fast provisioning and smooth orchestration of AI infrastructure.
  • Lighthouse: A monitoring and optimization system that proactively identifies and resolves issues to ensure reliable performance.
  • GPU Clusters: Dedicated, high-performance GPU clusters that are fully isolated, fully managed, and always available.

Key Features and Benefits:

  • Rapid Access to GPUs: Access the latest GPU architectures, including H200, B200, and GB200, and scale to 12,000+ GPUs on a single fabric.
  • High Performance: Clusters are benchmarked to achieve 95% of theoretical performance, maximizing throughput.
  • Reliable Uptime: Lighthouse auto-recovers workloads and engineers are on-call with 15-minute response times to ensure minimal downtime.
  • Single-Tenant Security: Infrastructure is fully isolated at the hardware, network, and storage levels, providing enhanced security.
  • Secure Operations: Fluidstack engineers maintain and monitor your cluster directly with secure access controls and audit logs.

Use Cases:

  • Research Labs: Accelerate research by launching dedicated GPU clusters in days.
  • Sovereign AI Initiatives: Deploy AI solutions instantly with full physical and operational security.
  • Enterprise AI Teams: Run clusters with 95%+ uptime, performance, and compliance.
  • Financial Services: Run inference, modeling, and risk workloads fast.

Technology Behind Fluidstack

Fluidstack leverages key technological components to provide a robust and efficient AI cloud platform:

  • Atlas OS: This bare-metal OS is fine-tuned for AI workloads, allowing for rapid provisioning and smooth management of resources. It provides total ownership and control over the infrastructure.
  • Lighthouse: This system continuously monitors, heals, and optimizes workloads. By proactively addressing potential issues, Lighthouse ensures reliable performance and maximizes uptime.

Why is Fluidstack important? Fluidstack addresses the critical need for accessible, high-performance AI infrastructure. By eliminating infrastructure delays and providing secure, scalable solutions, Fluidstack empowers teams to focus on innovation and accelerate their AI initiatives.

Where can I use Fluidstack? Fluidstack is ideal for:

  • Training foundation models.
  • Running inference at scale.
  • Powering AI research and development.
  • Supporting enterprise AI applications.

How to get started with Fluidstack?

Contact Fluidstack to discuss your AI infrastructure needs and explore how they can help you launch bigger and move faster.

Fluidstack provides the control, confidence, and performance needed to scale AI initiatives effectively. Its single-tenant architecture, secure operations, and human support ensure that teams can focus on building cutting-edge AI solutions without being held back by infrastructure limitations.

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