Banana
Banana was a serverless GPU inference platform that let AI teams deploy and scale machine learning models on autoscaling GPU infrastructure with pass-through compute pricing. The company sunsetted its platform in March 2024 and is pivoting to an undisclosed next product.
- Company typePrivate
- Founded2022
- HeadquartersSan Francisco, United States
- Headcount1–10
- GTM typeB2B
- OfferingSoftware
What Banana does
Banana was a serverless GPU inference platform that enabled AI teams to deploy and scale machine learning models without managing underlying infrastructure. Founded in late 2022 and headquartered in San Francisco, the platform offered autoscaling GPU compute with pass-through pricing (0% margin on GPU time), GitHub integration, CI/CD pipelines, a CLI, rolling deploys, and observability tooling. Its core technology stack included the proprietary Turboboot scheduler, which delivered up to 90% improvement on cold boot speeds, and the open-source Potassium HTTP framework for building ML servers, with SDKs available in Python, Node, Go, and PHP. The company served primarily AI teams, ML engineers, and open-source AI enthusiasts who wanted to self-host models such as Mistral 7B, Stable Diffusion, Whisper, and CodeLlama rather than depend on third-party APIs like OpenAI.
The business operated on a product-led growth model with self-serve onboarding via app.banana.dev, supplemented by direct enterprise sales led by CEO Erik Dunteman. Pricing was structured as a flat monthly platform subscription ($1,200/month for the Team tier, custom for Enterprise) plus at-cost GPU compute, with a minor novelty offering called Banana Delivery ($20 per delivery in San Francisco). Banana deployed across both Coreweave and Runpod GPU clouds and was co-founded by Erik Dunteman (CEO) and Kyle Morris. The company also trained and open-sourced GPTrillion, a 1.5 trillion parameter multimodal model hosted on HuggingFace.
On February 1, 2024, Banana announced it would sunset its serverless GPU platform, with infrastructure shut down on March 31, 2024, citing an inability to meet reliability, cost-effectiveness, and speed requirements given current runway, traction, and supply-constrained GPU markets. Contemporaneously, the company closed a $3.4 million seed round led by Basecamp Fund and CapitalX, and indicated it was pivoting to focus on an undisclosed next product.
Banana firmographics
Firmographics- Name
- Banana
- Legal name
- Banana
- Website
- https://banana.dev
- Company type
- Private
- Founded year
- 2022
- Operating status
- Closed
- Headcount range
- 1–10 employees
- Short description
- Banana was a serverless GPU inference platform that let AI teams deploy and scale machine learning models on autoscaling GPU infrastructure with pass-through compute pricing. The company sunsetted its platform in March 2024 and is pivoting to an undisclosed next product.
- Ownership category
- akta.pro rank
Banana industry classification
Industry- Product category
- AI GPU Inference Platform
- NAICS
- Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (5182), Software Publishers (5132)
- SIC
- Services-Computer Integrated Systems Design (7373), Services-Computer Programming, Data Processing, Etc. (7370)
- akta.pro primary industry
- AI Compute Cloud & GPU-as-a-Service (HDAAAAAK)
- akta.pro secondary industries
- Model Deployment, Serving & Inference Platforms (HDAAABAF), Model Development & Training Platforms (AutoML, Notebooks, Feature Stores) (HDAEANAB)
Keywords
Where Banana is headquartered
LocationHeadquarters
- HQ city
- San Francisco
- HQ country
- United States
- HQ region
- North America
Offices1 record
Markets served
Banana business model
Business model- GTM type
- B2B
- Offering type
- Software
- Cost components
- Technology or R&D, Infrastructure, Personnel, Operations, Marketing or Sales
Revenue model
- Platform Subscription + Compute: Flat monthly platform fee plus at-cost GPU compute. Zero markup on GPU time. The company generates revenue from the platform subscription tier while passing through actual compute costs to customers.
Pricing tiers
| Model | Billing | Price |
|---|---|---|
| Subscription | Monthly | Team tier for small teams deploying AI models |
| Subscription | Monthly | Enterprise tier with advanced features |
| Unit Pricing | Pay-as-you-go | Banana Delivery - SF only novelty service |
Go-to-market motion1 record
Distribution channels3 records
Marketing channels5 records
Banana product offering
Product offeringCore offering
Banana operated a serverless GPU inference platform that let AI and ML teams deploy, scale, and serve machine learning models from a single API call without managing GPU infrastructure. The product bundled autoscaling GPUs, GitHub-driven CI/CD, observability dashboards, business analytics, and an Automation API, supplemented by the open-source Potassium framework. The company priced the platform via flat monthly Team ($1,200) and Enterprise subscriptions layered with at-cost GPU compute.
Product overview
Banana is a GPU inference hosting platform for AI teams, offering serverless autoscaling GPU infrastructure for deploying and serving machine learning models. The core product is the Banana Serverless GPU Inference platform, supplemented by the open-source Potassium HTTP framework for building ML servers, Banana CLI and SDKs (Python, Node, Go, PHP) for deployment and integration, the Automation API for programmatic project management, and Playgrounds for interactive model exploration. Pricing is structured in Team ($1200+/month) and Enterprise tiers, both with at-cost compute and 0% margin on GPU time. Banana supports multi-cloud deployment across Coreweave and Runpod backends. Notable proprietary offerings include the GPTrillion 1.5 trillion parameter multimodal model and Turboboot technology for cold boot optimization.
Differentiator
Problem solved
Functional benefit
Brands
- Potassium: Open-source HTTP framework for building ML servers on Banana's infrastructure.
Products and services
- Banana Serverless GPU Inference Platform Serverless GPU inference hosting platform that lets AI and ML engineering teams deploy, scale, and serve machine learning models as autoscaling APIs without managing GPU servers. Bundled GitHub integration, CI/CD, CLI, rolling deploys, observability, and business analytics. Pricing was a $1,200/month Team subscription plus at-cost GPU compute, with a custom Enterprise tier. The platform infrastructure was shut down on March 31, 2024.
- Banana Delivery (SF Only)
Quantifiable outcome
- Up to 90% improvement in cold boot speeds with Turboboot
- +2 more outcomes
Companies that use Banana
Customer profileNamed customers1 record
Segments2 records
Ideal customer profiles3 records
Banana technology and API
TechnologyTechnology focussed Yes
API detail
- Has API
- Yes
- API docs
- API detail
Core technology
AI maturity
App detail
Integration2 records
AI capability6 records
Feature7 records
Banana partnerships and signals
Strategic signalPartnerships
Three partnerships are on record, tiered core.
- RunpodcoreBanana added Runpod as a multi-cloud backend option, enabling deployments on Runpod's on-demand VM cloud. Runpod offers approximately 50% lower cost than Coreweave for A5000 backends. Users can request to migrate deployments to Runpod.
- CoreweavecoreDefault backend GPU provider for Banana. V2.1 infrastructure deployed on A5000 GPUs via Coreweave.
- HuggingFacecoreBanana supports deployment of models from HuggingFace. The platform uses TheBloke's quantized versions of models like Mistral 7B from HuggingFace.
Scale indicators4 records
Recent moves7 records
Expansion highlights4 records
Banana competitors and assessment
Company assessmentBroad incumbents
- AWS SageMaker: Broad incumbent in ML model hosting and inference. Recommended by Banana's CEO for users prioritizing stability over developer experience. Competes for enterprise inference workloads with substantially greater resources.
- Hugging Face Inference Endpoints: Major AI platform offering inference endpoints for thousands of open-source models. Banana integrated with HuggingFace models and TheBloke quantizations; HuggingFace now competes directly in the inference hosting space.
- Lambda Labs: GPU cloud provider offering on-demand GPU instances and reserved clusters. Competes in the broader AI infrastructure market where Banana operated, particularly for teams running custom inference workloads on dedicated hardware.
- Coreweave: Specialized GPU cloud provider that served as Banana's default backend infrastructure for V2.1. Operates at a larger scale as a hyperscaler-grade GPU provider, and competes in the same end-customer market for inference workloads.
Direct peers
- Runpod: Direct competitor offering serverless GPU endpoints and on-demand VM cloud. Was also a Banana backend partner; cited as 'most banana-like experience' in the migration guide with competitive pricing.
- Modal: Direct competitor in serverless GPU cloud, offering autoscaling GPU containers with Python-first developer experience. Highlighted by Banana's CEO as the preferred alternative for production inference workloads.
- Replicate: Direct competitor offering serverless GPU inference for ML models. Explicitly named in Banana's migration guide as a recommended alternative with similar API structure. Cog framework competes directly with Banana's Potassium.
- Together.ai: Direct competitor in AI inference infrastructure, offering cost-competitive LLM APIs and custom model deployments. Listed by Banana as a recommended alternative for users seeking managed API options.
- Anyscale Endpoints: Direct competitor offering serverless LLM inference APIs built on Ray. Listed by Banana as a recommended alternative migration target for users seeking cost-competitive hosted inference.
- Fireworks.ai: Direct competitor in AI inference serving, providing fast LLM and image model APIs with custom deployment options. Listed by Banana as a recommended alternative for cost-competitive inference.
Market position
Strengths4 records
Weaknesses4 records
Competitive moat3 records
Key risks6 records
Key highlights5 records
Customer concentration
Banana social profiles
Digital presenceBanana financial estimates
Financial estimateRevenue estimate
Valuation estimate
Banana leadership team
Management profileNumber of profiles
Profiles2 records
Banana funding detail
Funding detailFunding overview
Funding rounds3 records
Investors5 records
Funding detail is available on the Subscription and Enterprise plan.Contact sales →
Banana M&A and investment
M&A and investmentM&A
Investments
M&A and investment is available on the Subscription and Enterprise plan.Contact sales →
Frequently asked questions about Banana
What does Banana do?
Banana operated a serverless GPU inference platform that let AI and ML teams deploy, scale, and serve machine learning models from a single API call without managing GPU infrastructure. The product bundled autoscaling GPUs, GitHub-driven CI/CD, observability dashboards, business analytics, and an Automation API, supplemented by the open-source Potassium framework. The company priced the platform via flat monthly Team ($1,200) and Enterprise subscriptions layered with at-cost GPU compute.
Is Banana a public or private company?
Banana is a private company. It is classified as venture growth investor backed and is currently closed.
When was Banana founded?
Banana was founded in 2022. It employs 1 to 10 people.
Where is Banana based?
Banana is headquartered in San Francisco, United States, in the North America region.
How does Banana make money?
One revenue line is on record: platform Subscription + Compute.
Who are Banana's main competitors?
Broad incumbents on record are AWS SageMaker, Hugging Face Inference Endpoints, Lambda Labs and Coreweave. Direct peers are Runpod, Modal, Replicate, Together.ai, Anyscale Endpoints and Fireworks.ai.
Does Banana have an API?
Yes. Banana provides an Automation API for programmatically viewing and managing projects, and an Inference API for calling deployed models. The Automation API supports listing projects (list_projects), getting project details (get_projects), and updating project settings (update_project with minReplicas, maxReplicas, idleTimeout, inferenceTimeout). SDKs are available in Python, Node, Go, and PHP. The platform also supports direct CLI deployment and an open API architecture. Developer documentation is at docs.banana.dev.
What industry is Banana in?
Banana's product category is AI GPU Inference Platform. Its primary akta.pro industry code is HDAAAAAK, AI Compute Cloud & GPU-as-a-Service, with a secondary code of HDAAABAF, Model Deployment, Serving & Inference Platforms. Its NAICS code is 5182 and its SIC code is 7373.