Banana

Overview

Banana delivers serverless GPU inference infrastructure purpose-built for AI workloads. The platform handles scaling, deployment, and monitoring so teams can launch models to production without operating their own GPU clusters.

Features

Dynamic GPU Autoscaling

• Instantly provisions or idles GPUs in response to live traffic.
• Supports both bursty and steady-state workloads without manual intervention.
• Eliminates cold-start delays to maintain low-latency inference.

Transparent Cost Structure

• Pass-through, at-cost pricing on all compute with no provider markup.
• Real-time spend tracking to prevent cost overruns.
• Detailed usage breakdown by model, endpoint, and time period.

Integrated DevOps Tooling

• Native GitHub integration, CI/CD pipelines, and CLI for end-to-end deployments.
• Rolling or canary releases with automatic rollback.
• Container-based environments compatible with PyTorch, TensorFlow, Hugging Face, and more.

In-Depth Observability & Analytics

• Live dashboards for latency, throughput, and error rates.
• Trace individual requests to pinpoint bottlenecks.
• Business analytics layer for forecasting and budgeting.

Flexible Architecture & Automation

• Open Automation API plus SDKs for custom workflows.
• Powered by the open-source Potassium HTTP framework.
• “Import anything” model allowing any Python ML/DL library within user-defined containers.

Use Cases

• Real-time content moderation pipelines that autoscale with user activity peaks.
• Large-scale batch inference jobs (e.g., genome annotation or image labeling) executed overnight at lowest cost.
• On-demand fine-tuning or adaptation services where models are rebuilt and redeployed multiple times per day.
• Pay-per-request research prototypes that require production-grade monitoring without long-term infrastructure commitments.
• Cost-optimization experiments comparing GPU types and deployment strategies through automated API-driven workflows.

Pricing

• Team Plan: $1200 / month, plus at-cost compute. Includes up to 10 team members, 5 concurrent projects, maximum 50 parallel GPUs, custom GPU types, logging with search, percent utilization autoscaling, request and business analytics, branch deployments, and multiple environments.
• Enterprise Plan: Custom, plus at-cost compute. Includes all Team features, plus SAML Single Sign-On (SSO), automation API access, higher parallel GPU limits, customizable inference queues, build pipeline GPUs, and a dedicated support team.
• Banana Delivery (San Francisco Only): $20. CEO hand-delivers bananas to your office—rich in potassium and morale.

Pairing Banana with 11x

11x is an AI digital workforce platform that automates B2B go-to-market and sales operations. Its AI agents, Julian and Alice, autonomously engage, qualify, and schedule meetings with leads using behavioral signals—without requiring engineering lift or manual outreach.

By leveraging Banana's serverless GPU infrastructure, 11x can efficiently handle the deep learning models that power its AI agents. This allows 11x to scale its operations dynamically, ensuring that AI-driven tasks such as lead qualification and meeting scheduling are performed swiftly and accurately, even during peak demand periods.

Book a demo to see how 11x can identify your ideal buyers, engage decision-makers 24/7, and book meetings on autopilot.