GPU serverless for ML
Visit WebsiteTL;DR - Banana
- Serverless GPU
- ML model deployment
- Model scaling
Pricing: Paid only
Best for: Enterprises & pros
3.9/5 across review platforms
Pros & Cons
Pros
- Serverless GPU
- Easy deployment
- Good for inference
- Fair pricing
- Quick setup
Cons
- Cold start latency
- Reliability varies
- Limited features
- Smaller platform
- Support limited
Ratings Across the Web
3.9(19 reviews)
Ratings aggregated from independent review platforms. Learn more
Key Features
ML inferenceServerless GPUsModel deploymentCold start optimizationPay-per-useAPI access
Pricing Plans
Team
$1,200/month
Plus at-cost compute
- 10 team members
- 5 projects
- 50 max parallel GPUs
- Custom GPU types
- Request analytics
- Branch deployments
Enterprise
Custom + at-cost compute
- SAML SSO
- Automation API
- Higher parallel GPUs
- Customizable inference queues
- Dedicated support
What is Banana?
Banana provides serverless GPU infrastructure for machine learning inference. Deploy models and pay only when they run - no idle costs. Optimized for generative AI workloads including LLMs and Stable Diffusion. Cold starts minimized with intelligent caching. Simple API makes deployment straightforward. GPU inference without the complexity of managing Kubernetes or cloud infrastructure.
Reviews
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Banana FAQ
What is Banana?
Banana is a serverless GPU platform for deploying machine learning models with instant scaling.
How much does Banana cost?
Banana charges per second of GPU usage with no minimum. Pricing varies by GPU type.
What GPUs does Banana offer?
Banana offers various NVIDIA GPUs including A100 and A10 for different workloads.
Source: banana.dev