FluidStack vs Heroku 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.
Heroku
https://www.heroku.com
Heroku is a cloud platform as a service (PaaS) that enables companies to build, deliver, monitor and scale applications. The platform supports several programming languages and allows developers to deploy, manage, and scale modern apps without having to manage the underlying infrastructure. Heroku was acquired by Salesforce in 2010 and has since become one of the most popular PaaS solutions for web application deployment.
Quick Comparison
| Detail | FluidStack | Heroku |
|---|---|---|
| Category | AI Cloud Infrastructure | Platform as a Service (PaaS) |
| Starting Price | Contact Sales | Contact Sales |
| Plans Available | 1 | 0 |
| Features Tracked | 16 | 17 |
| Founded | 2019 | 2007 |
| Headquarters | London, United Kingdom | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI Access | ||
| core | ||
| Application Metrics | ||
| Autoscaling | ||
| Dedicated GPU Clusters | ||
| Dynos | ||
| Fully Managed Clusters | ||
| H100/H200/B200/GB200 Support | ||
| Heroku Dashboard | ||
| Heroku Key-Value Store | ||
| Heroku Pipelines | ||
| Heroku Postgres | ||
| InfiniBand Interconnects | ||
| Kubernetes Support | ||
| Low-Latency Inference | ||
| Managed Inference and Agents | ||
| Multi-language Support | ||
| Rapid Deployment | ||
| Slurm Support | ||
| Transparent Pricing | ||
| custom | ||
| Buildpacks | ||
| Custom Data Centers | ||
| integration | ||
| Add-ons Marketplace | ||
| Apache Kafka on Heroku | ||
| Distributed Data Access | ||
| Heroku AppLink | Add-on | |
| Model Context Protocol (MCP) | ||
| security | ||
| Secure Access Controls | ||
| Security Patches | ||
| Single-Tenant Isolation | ||
| support | ||
| 15-Minute Response SLA | ||
| 99% Uptime SLA | ||
| Proactive Monitoring | ||
| Team Collaboration | ||
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.
Heroku
Contact Sales
No pricing data available yet
Best For
Developers and startups needing quick Git-based deploys and managed scaling for modern web apps without infrastructure management.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for FluidStack, Heroku 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.
Heroku
Developers and startups needing quick Git-based deploys and managed scaling for modern web apps without infrastructure management.
- Git push deployment and dyno autoscaling enable instant scaling for web apps, unlike more complex setups on AWS or Azure.
- Managed data services like Heroku Postgres and Redis handle backups and HA, freeing developers from infra tasks.
- Native buildpacks for Node.js, Python, Java, and others simplify multi-language deploys versus custom configs elsewhere.
- Doubled 1GB slug limit supports AI/ML frameworks, boosting complex app compatibility.
- Transitioning to sustaining engineering mode limits new features, lagging behind innovative PaaS like Upsun.
- Runs atop AWS EC2 with dyno-based pricing that can escalate costs for high-traffic apps versus granular cloud options.
- Enterprise feature freeze pushes users toward Salesforce alternatives like Agentforce.
Company Info
Company details and background
FluidStack
Heroku
Comparison FAQ
Common questions about comparing FluidStack and Heroku
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