Banana.dev vs FluidStack Comparison
Detailed comparison of features, pricing, and capabilities
Last updated May 13, 2026
Overview
Compare key metrics and features at a glance
Banana.dev
https://www.banana.dev
Banana.dev was a cloud platform that enabled developers to deploy and scale machine learning models on serverless GPU infrastructure with minimal configuration. It provided a simple API-based interface for running inference workloads, allowing teams to avoid managing their own GPU servers. The service shut down in 2023 as the team pivoted or wound down operations.
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.
Quick Comparison
| Detail | Banana.dev | FluidStack |
|---|---|---|
| Category | AI Cloud Infrastructure | AI Cloud Infrastructure |
| Starting Price | $20/mo | Contact Sales |
| Plans Available | 3 | 1 |
| Features Tracked | 15 | 16 |
| Founded | 2021 | 2019 |
| Headquarters | San Francisco, USA | London, United Kingdom |
Features
Detailed feature-by-feature comparison
Feature Comparison
| Feature | | |
|---|---|---|
| api | ||
| API Endpoints | ||
| Open API & SDKs | ||
| core | ||
| Autoscaling GPUs | ||
| Built-in Observability | ||
| Container Deployments | ||
| Dedicated GPU Clusters | ||
| Fully Managed Clusters | ||
| H100/H200/B200/GB200 Support | ||
| InfiniBand Interconnects | ||
| Kubernetes Support | ||
| Low-Latency Inference | ||
| Max Parallel GPUs | Add-on | |
| Pay-per-Use Pricing | ||
| Rapid Deployment | ||
| Request Analytics | ||
| Rolling Deploys | ||
| Serverless GPU Inference | ||
| Slurm Support | ||
| Team Collaboration | ||
| Transparent Pricing | ||
| custom | ||
| Custom Data Centers | ||
| Custom GPU Types | ||
| integration | ||
| CLI Tool | ||
| Distributed Data Access | ||
| GitHub Integration | ||
| security | ||
| Secure Access Controls | ||
| Single-Tenant Isolation | ||
| support | ||
| 15-Minute Response SLA | ||
| 99% Uptime SLA | ||
| Performance Monitoring | ||
| Proactive Monitoring | ||
Pricing
Compare pricing plans and value for money
Banana.dev
From $20/mo
Price Components
- base_fee: $1200/month
- compute: $0/at-cost compute
- team_members: $0/member (10 included)
- base_fee: $0/month
- compute: $0/at-cost compute
Best For
Small dev teams prototyping ML inference APIs who previously used Banana.dev and now seek similar serverless GPU options.
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.
Integrations
See which third-party services are supported
Supported Integrations
Coming Soon
Integration comparison data for Banana.dev, FluidStack is being collected and will be available soon.
Strengths & Limitations
Key strengths and limitations of each service
Banana.dev
Small dev teams prototyping ML inference APIs who previously used Banana.dev and now seek similar serverless GPU options.
- Serverless GPU inference with autoscaling from zero eliminates node management, unlike managed clusters from hyperscalers.
- Pay-per-use pricing passes through at-cost GPU compute, minimizing waste compared to fixed instance competitors.
- Built-in observability and request analytics provide real-time insights without extra tooling integrations.
- GitHub integration and CLI enable seamless CI/CD for ML model deployments.
- Service shut down in 2023, making it unavailable for new deployments or ongoing use.
- Small team size (1-10 employees) limited enterprise-grade support and feature depth.
- Seed funding stage restricted scalability for massive production workloads.
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.
Company Info
Company details and background
Banana.dev
FluidStack
Comparison FAQ
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