Banana
Serverless GPU inference platform focused on AI model deployment
What is Banana
Banana (banana.dev) is a serverless GPU inference platform focused on deploying AI models as APIs. Package your model as a Docker container, and Banana handles GPU resources and auto-scaling.
Ideal for quickly deploying models as APIs — Stable Diffusion image generation, LLM inference, etc. Per-request billing, no charge when idle.
Ideal for quickly deploying models as APIs — Stable Diffusion image generation, LLM inference, etc. Per-request billing, no charge when idle.
Free Tier & Pricing
Free credits: Trial credits for new users to deploy and test.
Pricing:
- Per GPU-second billing
- A100 ~$1.25/hr
- No charge when idle
- Auto-scaling
Cheaper than Modal but less polished developer experience and documentation.
Pricing:
- Per GPU-second billing
- A100 ~$1.25/hr
- No charge when idle
- Auto-scaling
Cheaper than Modal but less polished developer experience and documentation.
Editor's note
Editor's note: If you only need API inference, you may not need a GPU rental. Compare free quota, rate limits, and latency first.
China Access Guide
Banana requires proxy access from China. For China-based model deployment, consider AutoDL or RunPod.
For model APIs only, use API aggregator with direct China access, no proxy needed.
For model APIs only, use API aggregator with direct China access, no proxy needed.
FAQ
Q: Banana vs Replicate?
A: Replicate is more mature with a richer model marketplace. Banana is more flexible for custom deployments.
Q: How fast is cold start?
A: Typically 5-15 seconds, slower than Modal. Set minimum instances to avoid cold starts.
Q: What models are supported?
A: Any model that can be packaged as Docker. Common LLMs, Stable Diffusion, Whisper, etc.
A: Replicate is more mature with a richer model marketplace. Banana is more flexible for custom deployments.
Q: How fast is cold start?
A: Typically 5-15 seconds, slower than Modal. Set minimum instances to avoid cold starts.
Q: What models are supported?
A: Any model that can be packaged as Docker. Common LLMs, Stable Diffusion, Whisper, etc.