inference.net

Founded 2023

Deploy, monitor, and fine-tune open-source machine learning models in production

Pricing model

Free Tier, Paid

You can use Inference.net to host open-source and custom language models with fast inference speeds. It allows you to run models like GLM, Kimi, and MiniMax on dedicated hardware with predictable uptime. You can trace every step your software agents take, capture request payloads, and monitor latency or error rates in real time. Inference.net also helps you convert live production traffic into training datasets. With these traces, you can fine-tune specialized models and evaluate their performance against real user queries before launching.

What inference.net does

Deploy open-source LLMs on high-memory GPU instancesCapture full traces and tool calls from AI agentsMonitor request latency and error percentagesGenerate training datasets from production request logsFine-tune custom models for specific domain tasksRun evaluation benchmarks before releasing model updatesTrack inference costs across different LLM providersDeploy open-source language models on dedicated B200 GPU hardwareTrace every request, prompt, and tool call across software agentsTrack latency, uptime, error rates, and costs in real-time dashboardsConvert production request traces into curated datasets for fine-tuningRun automated benchmarks and evaluations against baseline model behaviorFine-tune specialized models to match domain-specific performance goalsDeploy models across public cloud, private cloud, or hybrid environments

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price

Pay as you goFree

Growth$250 / mo

Frequently asked

vLLM engine, OpenAI-compatible API, Python SDK, Node.js SDK, Hugging Face, Custom VPC endpoints, Prometheus/Grafana (via Enterprise), Slack (Alerting)

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