Integration · AI & Machine Learning

Banana.dev

Run custom ML models on serverless GPU infrastructure with Banana, paying only for actual inference compute time.

Banana.dev
SchedulerWorkflow

What you can do

What you can do with Banana.dev.

  • Deploy custom image generation models on serverless GPUs

  • Run batch inference jobs without managing GPU infrastructure

  • Scale ML model endpoints up and down based on request volume

Operations

Banana.dev operations.

Run Model

How it works

How it works.

  1. Add it
    Drop the integration onto the Workflow canvas or attach it to a Scheduler job — no code.
  2. Configure
    Pick the operation and fill in the fields; credentials are stored encrypted and resolved only at run time.
  3. Run
    Execute it inline as part of an automation, or on a cron or interval at fleet scale.

Related

More AI & Machine Learning integrations.

Anyscale Endpoints

Anyscale Endpoints

Run large language model inference through Anyscale hosted endpoints

AssemblyAI

AssemblyAI

Transcribe audio, detect topics, and analyze sentiment with AssemblyAI

AWS Bedrock

AWS Bedrock

Invoke foundation models on AWS Bedrock including Claude, Titan, and Llama

AWS Rekognition

AWS Rekognition

Analyze images for faces, objects, and text using AWS Rekognition API

Azure Cognitive Services - Text Analytics

Azure Cognitive Services - Text Analytics

Analyze text for sentiment, key phrases, and entities via Azure Cognitive Services

Azure Computer Vision

Azure Computer Vision

Analyze images, extract text via OCR, and detect objects with Azure Vision

Wire Banana.dev into your operation.

AccuOSS deploys AccuOps and builds the automations that put integrations like this to work.

Talk to our teamBrowse the catalog