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Banana

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GPU inference hosting for AI teams who ship fast and scale faster.

ウェブサイト:https://www.banana.dev/
追加日:2026年7月13日
月間訪問者数:
5.6K
ソーシャルと電子メール:
GPU inferenceAI hostingServerless GPUsModel servingAutoscalingMLOps

ツール情報

Bananaとは何ですか?

Banana is a GPU inference hosting platform that provides scalable GPUs for high-throughput AI model serving. It combines automatic scaling, observability, analytics, and built-in DevOps tools so AI teams can deploy, ship, and scale models quickly without managing infrastructure overhead.

コア機能

  • Autoscaling GPUs

    Automatically scales GPUs up and down based on demand to keep costs low while maintaining high performance for inference workloads.

  • Pass-through pricing

    Charges only the actual cost of compute with zero markup on GPU time, so teams pay for usage without hidden provider margins.

  • Full platform experience

    Includes essential DevOps tools such as GitHub integration, CI/CD, CLI, rolling deploys, tracing, and logs for a complete deployment workflow.

  • Observability

    Built-in performance monitoring and debugging with real-time views of request traffic, latency, and errors to quickly pinpoint bottlenecks.

  • Business Analytics

    Tracks spend and monitors endpoint usage over time so teams can account for every dollar and every request.

  • Automation API

    Open API with SDKs and CLI that lets teams automate deployments and extend the platform to fit their workflows.

  • Potassium framework

    Open-source HTTP framework that enables users to write custom backends for model serving exactly the way they need.

使用例

  • #1

    High-throughput inference

    Serve AI models at scale using autoscaling GPUs optimized for high request volume and reliable performance.

  • #2

    AI model deployment and continuous delivery

    Deploy and update models with GitHub integration, CI/CD, rolling deploys, branch deployments, and environment support.

  • #3

    Inference observability and cost management

    Monitor latency, errors, traffic, spend, and endpoint usage to debug issues and understand usage patterns over time.

以下に最適:AI teamsSmall teamsEnterprises

料金プラン

Flat monthly rate plus at-cost compute with zero markup. Team plan: $1200/mo + at-cost compute (10 team members, 5 projects, 50 max parallel GPUs, custom GPU types, logging + search, percent utilization autoscaling, request analytics, business analytics, branch deployments, environments). Enterprise: custom + at-cost compute (includes Team features plus SAML SSO, Automation API, higher parallel GPUs, customizable inference queues, build pipeline GPUs, dedicated support). Banana Delivery (SF Only): $20.

代替案

よくある質問

What is Banana?
Banana is a GPU inference hosting platform built for AI teams. It provides scalable GPUs for high-throughput model serving along with autoscaling, observability, analytics, and DevOps tools so teams can ship and scale quickly.
How does Banana pricing work?
Banana uses a flat monthly rate plus at-cost compute with zero markup on GPU time. The Team plan starts at $1200 per month plus compute, while Enterprise pricing is custom and includes additional features such as SAML SSO and higher parallel GPU limits.
What DevOps tools are included?
Banana includes GitHub integration, CI/CD, a CLI, rolling deploys, tracing, logs, and an Automation API with SDKs so teams can manage deployments without building extra infrastructure.
Can I write custom backends for model serving?
Yes. Banana is powered by Potassium, an open-source HTTP framework that lets you write custom backends the way you need for model serving.
Who is Banana designed for?
Banana is built for AI teams, small teams with big ambitions, and enterprises that need scalable inference hosting with strong observability, cost control, and automation.

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ツール情報

料金モデルPaid
カテゴリ開発者向けツール
タグ
GPU inferenceAI hostingServerless GPUsModel servingAutoscalingMLOps
言語英語
最終更新日2026年7月16日