FluidStack vs Fly.io Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
FluidStack
https://www.fluidstack.io
FluidStack is a cloud GPU infrastructure provider that aggregates underutilized GPU capacity from data centers worldwide to offer on-demand and reserved GPU compute at competitive prices. The platform enables AI companies, researchers, and developers to access large-scale GPU clusters for training and inference workloads, including support for high-performance interconnects like InfiniBand. FluidStack differentiates itself by sourcing capacity from a distributed network of partner data centers, providing cost-effective alternatives to hyperscale cloud providers for AI/ML workloads.
Fly.io
https://fly.io
Fly.io is a platform that allows developers to deploy applications closer to their users by running them in micro-VMs on a global network of servers. It transforms Docker containers into micro-VMs that can run anywhere in the world, providing better performance through edge computing and simplified deployment processes. The platform specializes in running full-stack applications globally with minimal latency.
Quick Comparison
| Detail | FluidStack | Fly.io |
|---|---|---|
| Category | AI Cloud Infrastructure | Platform as a Service (PaaS) |
| Starting Price | Contact Sales | Free |
| Plans Available | 1 | 5 |
| Features Tracked | 16 | 16 |
| Founded | 2019 | 2017 |
| Headquarters | London, United Kingdom | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | ||
|---|---|---|
| api | ||
| Fly Machines API | ||
| core | ||
| Auto-Scaling | ||
| Dedicated GPU Clusters | ||
| Docker Container Deployment | ||
| Firecracker MicroVMs | ||
| Fly Launch | ||
| Fully Managed Clusters | ||
| Global Anycast Networking | ||
| H100/H200/B200/GB200 Support | ||
| InfiniBand Interconnects | ||
| Kubernetes Support | ||
| Low-Latency Inference | ||
| Managed Postgres | ||
| Managed Redis | ||
| Multi-Region Deployment | ||
| Multiple Language Support | ||
| Persistent Volumes | ||
| Private Network | ||
| Rapid Deployment | ||
| Slurm Support | ||
| Transparent Pricing | ||
| custom | ||
| Custom Data Centers | ||
| integration | ||
| CI/CD Integration | ||
| Distributed Data Access | ||
| security | ||
| Secrets Management | ||
| Secure Access Controls | ||
| Single-Tenant Isolation | ||
| support | ||
| 15-Minute Response SLA | ||
| 99% Uptime SLA | ||
| Proactive Monitoring | ||
| Prometheus Metrics | ||
| flyctl CLI | ||
Pricing
Compare pricing plans and value for money
FluidStack
Contact Sales
Best For
AI companies and researchers needing rapid, cost-effective, fully managed large-scale dedicated GPU clusters for training without hyperscaler lock-in.
Fly.io
From $0/mo
Price Components
- Compute (shared-cpu-1x 256MB): $0.0028/hour
- Persistent Volumes: $0.15/GB
- Volume Snapshots: $0.08/GB (10 included)
- Data Egress (NA/Europe): $0.02/GB
- Dedicated IPv4: $2/address
Best For
Developers and startups building latency-sensitive, full-stack or stateful apps like global APIs and databases that need edge deployment without vendor lock-in.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for FluidStack, Fly.io is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
FluidStack
AI companies and researchers needing rapid, cost-effective, fully managed large-scale dedicated GPU clusters for training without hyperscaler lock-in.
- Rapid deployment of multi-thousand GPU clusters in as little as 48 hours with zero-setup management.
- Single-tenant isolation at hardware, network, and storage levels eliminates noisy neighbors unlike hyperscalers.
- Supports latest NVIDIA H100/H200/B200/GB200 GPUs with InfiniBand and 99% uptime SLA.
- 24/7 engineering support via Slack with 15-minute response times and proactive monitoring.
- Enterprise-only pricing requires contacting sales, lacking transparent pay-as-you-go rates.
- Small team of 11-50 employees and seed funding may limit scalability versus larger competitors.
- Aggregated capacity from partner data centers could introduce variability in global availability.
Fly.io
Developers and startups building latency-sensitive, full-stack or stateful apps like global APIs and databases that need edge deployment without vendor lock-in.
- Deploys Docker containers as micro-VMs across global edge locations with Anycast networking for sub-100ms latency, outperforming centralized PaaS like Heroku.
- Supports stateful apps via Fly Volumes for persistent NVMe storage and managed Postgres with automated scaling, unlike ephemeral serverless competitors.
- Generous free Hobby tier covers compute, storage, and Anycast IPs with pure pay-as-you-go pricing, avoiding minimum fees of Render or DigitalOcean.
- 7th most popular deployment platform with 2.5% market share and 3M+ apps launched, backed by Series C funding and $11.2M 2024 revenue.
- Managed Postgres requires more hands-on management than fully managed DBaaS from AWS or DigitalOcean, lacking complete 'hands-off' automation.
- Enterprise support starts at $2500/month, pricier than Render's $29/user organization plans for similar scale.
- Smaller team of 51-200 employees may limit rapid feature development versus hyperscalers like AWS.
Company Info
Company details and background
FluidStack
Fly.io
Comparison FAQ
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