Crusoe vs Heroku Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 1, 2026
Overview
Compare key metrics and features at a glance
Crusoe
https://www.crusoe.ai
Crusoe is an AI cloud infrastructure company that provides purpose-built cloud computing services optimized for AI workloads, including GPU clusters for training and inference. Originally founded as Crusoe Energy Systems, the company pivoted to focus on sustainable AI cloud computing, leveraging stranded and flared natural gas to power data centers, reducing carbon emissions compared to traditional grid-powered facilities. Crusoe offers high-performance computing resources tailored for machine learning, generative AI, and large-scale model training, positioning itself as an environmentally conscious alternative to hyperscale cloud providers.
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 | Crusoe | Heroku |
|---|---|---|
| Category | AI Cloud Infrastructure | Platform as a Service (PaaS) |
| Starting Price | Contact Sales | Contact Sales |
| Plans Available | 5 | 0 |
| Features Tracked | 17 | 17 |
| Founded | 2018 | 2007 |
| Headquarters | San Francisco, USA | San Francisco, USA |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| CLI Access | ||
| core | ||
| 99.98% Uptime | ||
| AMD Compute | ||
| Accelerated Storage | ||
| Application Metrics | ||
| Autoscaling | ||
| Crusoe AutoClusters | ||
| Dynos | ||
| Elastic Scaling | ||
| Heroku Dashboard | ||
| Heroku Key-Value Store | ||
| Heroku Pipelines | ||
| Heroku Postgres | ||
| Managed Inference and Agents | ||
| Managed Kubernetes | ||
| MemoryAlloy Technology | ||
| Multi-language Support | ||
| NVIDIA GPUs | ||
| Optimized Networking | ||
| Sustainable Energy | ||
| custom | ||
| Buildpacks | ||
| integration | ||
| Add-ons Marketplace | ||
| Apache Kafka on Heroku | ||
| Git Integration | ||
| Heroku AppLink | Add-on | |
| JupyterLab Support | ||
| Model Context Protocol (MCP) | ||
| Multi-Cloud Support | ||
| security | ||
| SSO Support | ||
| Security Patches | ||
| VPC Installs | ||
| support | ||
| 24/7 Support | ||
| Cost Tracking | ||
| Team Collaboration | ||
Pricing
Compare pricing plans and value for money
Crusoe
Contact Sales
Price Components
- NVIDIA H200 141GB HGX: $4.29/GPU-hour
- NVIDIA H100 80GB HGX: $3.9/GPU-hour
- NVIDIA A100 80GB SXM: $1.95/GPU-hour
- NVIDIA A100 80GB PCIe: $1.65/GPU-hour
- NVIDIA A100 40GB PCIe: $1.45/GPU-hour
Best For
ESG-focused AI teams training massive LLMs or running inference who prioritize sustainable, high-uptime GPU clusters with auto-failover.
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 Crusoe, Heroku is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Crusoe
ESG-focused AI teams training massive LLMs or running inference who prioritize sustainable, high-uptime GPU clusters with auto-failover.
- Powers data centers with flare gas and solar for carbon-negative AI computing, slashing emissions versus grid-reliant hyperscalers.
- MemoryAlloy tech delivers 9.9x faster Time-to-First-Token and 5x inference throughput on NVIDIA H100/A100 GPUs.
- AutoClusters auto-remediate GPU failures for 99.98% uptime in elastic, Kubernetes-managed scaling from notebooks to clusters.
- Spot GPU instances and pay-per-1M-token inference offer cost savings over on-demand hyperscale pricing.
- Smaller scale (201-500 employees, Series C) limits global data center footprint versus hyperscalers like AWS or Azure.
- Reliance on stranded energy sources may constrain capacity expansion and geographic availability.
- Enterprise/reserved pricing for GB200/B200 requires custom sales outreach, lacking self-serve transparency.
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
Crusoe
Heroku
Comparison FAQ
Common questions about comparing Crusoe and Heroku
No FAQs available yet