ML Model Hosting as an API

Instant, scalable inference hosting for your machine learning models on serverless GPUs.

We have worked with some of the best

What does Banana do?

Banana provides scalable, easy to implement inference hosting for your ML models.

Deploy models to production faster and cheaper with our serverless GPUs than developing the infrastructure yourself.

Serverless GPU Hosting

Reduces model cold start time by 99.4%.

~10s Cold Start instead of 25min

An out of the box GPT-J model takes 25 minutes to “cold start”. With Banana, it takes 10 seconds.

Available for all Models

Banana can provide Serverless GPUs for any model architecture.

10x Cost Savings

Banana can scale GPUs from zero when calls come in. Only pay for GPU resources you need (utilization time) rather than expensive "always on" GPU resources.

Available for all Models
~10s Cold Start Time
10x Cost Savings

Serverless GPU Hosting.

Why use Banana?

For scale, of course.

Simple Self Serve Setup

Sign up and follow the setup instructions. Your models will be deployed in minutes, not months.

Auto-Scaling & Spike Tolerance

Our infrastructure is flexible in real-time and scales with you as you grow. We can handle zero to one scaling.

GPU Parallelism

Enjoy 3x or higher throughput on your calls than what you get anywhere else. You pay for GPU seconds, so doing 3x more calls per second is a pretty sweet deal.

Distributed Deployment
Load Balancing
Fault Tolerance

Let's talk hosting!

Banana Unblocks You

Flexible hosting built by engineers, for engineers.

Zero Throttling (unlike AWS)

Hitting your usage limits with AWS? We give you unlimited usage and won't throttle your growth.

On-Call MLOps Engineering Team

Our team of engineers are ready to support you with custom infrastructure work.

Less than 24hr SLA Response Time

Typically less than 5 minutes. You'll get direct access to our engineering team.

ML hosting made easy.

Simple Pricing.

Only pay for the resources you use. That's the power of Banana.


Only pay for GPU compute you use.

  • Serverless GPUs
  • GPU Parallelism
  • Auto-Scaling
  • Spike & Fault Tolerance
  • Load Balancing
  • On-Call MLOps Team
Sign Up

Viable & Banana Case Study

Banana Removes the Bottleneck

Viable was experiencing a bottleneck of getting new models into production. Banana's MLOps infrastructure removed the bottleneck and made it faster and cheaper to deploy models.


Latency Decrease


Cost Optimization on Hardware

3 Days

Time from Research Paper to Production

Use-Cases We Have Deployed


Latency Optimization

Question Answering

Image Classification

Social Media Copy Generation

Sentiment Analysis

Video Classification

Conversational AI

Demand Forecasting

Text to Speech


Image Generation

Use Banana for scale.