Spinf Serve

Spinf Serve is a self-hosted engine that reads content once to score bulk classification and decision inference questions on one GPU.

Spinf-serve is a serving engine built for bulk classification and decision inference on a single 24 GB NVIDIA GPU. It reads a piece of content once and answers many questions about it in the same pass, returning probabilities over fixed options rather than generated text. The engine supports text, images, audio, and video inputs depending on the model, and serves an OpenAI-compatible API. It is designed for high throughput rather than single-request latency, making it suitable for tasks like content moderation, news triage, and survey coding. Users can run it via Docker or Linux with Python 3.12, using prompt packs to preload calibrated question sets.

Spinf Serve at a glance

Best for: Software engineer
Runs on: Linux, API, self-hosted, open source
Pricing: Free
Released: October 2026
Category: AI coding tool
Website: github.com/spinfinc/spinf-serve

Key features

Scores many questions from a single content read
Returns option probabilities instead of generated text
Extracts text, numbers, and amounts with probabilities
Maintains batch-invariant scores across calls and servers
Supports text, image, audio, and video inputs
Loads pre-made prompt packs for common jobs
Serves an OpenAI-compatible API

Use it for

Bulk content moderation
Market index news article analysis
Survey coding and intent routing
Product listings and reviews classification

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