What is Banana and what services does it provide?

Banana offers GPU inference hosting specifically designed for AI teams. Its primary goal is to enable fast deployment and efficient scaling of AI models, focusing on high-throughput inference with features like autoscaling and transparent pricing.

How does Banana handle GPU scaling and pricing?

Banana automatically scales your GPUs up and down based on demand, ensuring optimal performance while keeping costs low. It operates on a 'pass-through pricing' model, meaning it charges a flat monthly rate plus the at-cost compute, without taking a large margin on GPU time.

What development and operational features are included with Banana?

Banana provides a comprehensive platform experience with 'DevOps batteries included.' This encompasses GitHub integration, CI/CD, a command-line interface (CLI), rolling deploys, tracing, and logs. Additionally, it offers built-in observability for performance monitoring and debugging, business analytics to track spend and endpoint usage, and an Automation API with SDKs and a CLI for extending and automating deployments.

What are the pricing plans available for Banana?

Banana offers a 'Team' plan for $1200/month plus at-cost compute, which includes features like 10 team members, 5 projects, and 50 max parallel GPUs. For larger organizations, there is an 'Enterprise' plan with custom pricing plus at-cost compute, which adds features such as SAML SSO, higher parallel GPU limits, and dedicated support.

Can I use my own custom backend code with Banana?

Yes, Banana is powered by Potassium, an open-source HTTP framework that allows users to write their backend code as they prefer. You can define initialization logic for models and create handlers for inference requests using Python, as demonstrated on the website.

AI Jet

Banana

Name: Banana
Rating: 4.3 (9 reviews)

Banana provides GPU inference hosting for AI teams, focusing on speed and scalability with features like autoscaling and transparent pricing.

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Published: 2025/12/20

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Introduction

Banana offers a platform for AI teams to deploy and scale GPU-backed inference services. Key features include:

Autoscaling GPUs: Automatically scales GPU resources based on demand, optimizing cost and performance.
Pass-through Pricing: Provides transparent pricing for GPU time without significant markups.
Full Platform Experience: Includes DevOps tools like GitHub integration, CI/CD, CLI, and monitoring.
Observability: Built-in performance monitoring and debugging tools.
Business Analytics: Tracks spending and endpoint usage.
Automation API: An open API for automating deployments.
Potassium Framework: An open-source HTTP framework for backend development.

Banana targets AI teams needing scalable and cost-effective GPU inference, offering a comprehensive platform with integrated tools and transparent pricing.

Alternatives

AWS SageMaker
AWS SageMaker offers a fully managed service for building, training, and deploying machine learning models at scale, including robust inference capabilities.
Google Cloud Vertex AI
Google Cloud Vertex AI provides a unified platform for the entire ML lifecycle, enabling scalable model deployment and inference with integrated MLOps tools.
Azure Machine Learning
Azure Machine Learning is a cloud-based platform that helps users build, train, and deploy machine learning models quickly, offering scalable inference endpoints.
Replicate
Replicate allows developers to run and deploy open-source machine learning models with a simple API, focusing on ease of use for serverless inference.
Modal
Modal is a serverless platform for running Python code, including GPU-accelerated tasks, providing a flexible and scalable environment for AI inference.
Hugging Face Inference Endpoints
Hugging Face Inference Endpoints provide managed, scalable API endpoints for deploying transformer models, simplifying the serving of NLP and vision models.
RunPod
RunPod offers serverless GPU compute and dedicated GPU instances, providing flexible and cost-effective options for deploying and scaling AI inference workloads.
Baseten
Baseten is a platform for deploying and scaling ML models with a focus on ease of use and customizability, including GPU support and serverless functions.
Vast.ai
Vast.ai is a decentralized GPU marketplace offering highly cost-effective GPU rentals, which can be utilized for self-managed, scalable AI inference.
KServe
KServe is an open-source serverless inference solution built on Kubernetes, enabling flexible and scalable deployment of machine learning models on any cloud.

User Reviews

4.3/5.0

(9reviews)

Click stars to rate

Pricing

Pricing Model: Subscription, Usage-based

Team

For small teams with big ambitions.

$1200/mo + at-cost compute

Enterprise

Enterprise-grade support and features.

Custom + at-cost compute

Banana Delivery (SF Only)

CEO hand-delivers bananas to your office.

$20

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Banana

Introduction

Alternatives

AWS SageMaker

Google Cloud Vertex AI

Azure Machine Learning

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Modal

Hugging Face Inference Endpoints

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Baseten

Vast.ai

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FAQ

What is Banana and what services does it provide?

How does Banana handle GPU scaling and pricing?

What development and operational features are included with Banana?

What are the pricing plans available for Banana?

Can I use my own custom backend code with Banana?

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