Banana
GPU inference hosting for AI teams who ship fast and scale faster
Paid·Technical·API available
Key strengths
Automatic GPU autoscaling with pass-through, zero-markup compute pricingFull DevOps platform: GitHub integration, CI/CD, CLI, rolling deploysBuilt-in observability with real-time traffic, latency, and error monitoringPowered by Potassium, an open-source HTTP framework for writing inference backendsAutomation API with SDKs and CLI for programmatic deployment management
Paid only · from $1200 USD/mo
San Francisco, USA
Founded 2021
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- Deploying Hugging Face transformer models (e.g., BERT, GPT variants) as scalable inference endpoints using the Potassium framework
- Building high-throughput AI APIs that require dynamic GPU scaling to handle variable traffic without over-provisioning
- Integrating model deployments into CI/CD pipelines via GitHub integration, branch deployments, and the Automation API
- Running multi-environment inference services (dev, staging, production) with rolling deploys and environment management
- Monitoring and debugging ML inference performance using real-time request tracing, latency tracking, and error logs
- Automating infrastructure management with the Banana SDK and CLI for programmatic control over deployments and scaling