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Dev tools · April 9, 2026

Inference Hub

Every AI model. Every provider. Compared.

What it does

Inference Hub — The AI Provider Directory Tired of jumping between dozens of pricing pages to find where to run your AI models? Inference Hub puts everything in one place: - 42+ providers — from OpenAI and Anthropic to DeepInfra, Fireworks, and Groq - 150+ models — LLMs, image gen, video gen, audio, embeddings - Real pricing data — per-token costs, free tiers, and provider comparisons side by side - Every category — API providers, consumer platforms, GPU cloud rentals

Does the same job

all alternatives →
  • General ComputeMay 2026 · generalcompute.com · ▲315

    AI models that run on an inference cloud optimized for speed

  • PI
    Pip install inference, open source computer vision deployment2023 · github.com · ▲71

    Deploying vision models is time consuming and tedious. Setting up dependencies. Fixing conflicts. Configuring TRT acceleration. Flashing (and re-flashing) NVIDIA Jetsons. A streamlined, developer-friendly solution for inference is needed. We, the Roboflow team, have been hard at work open sourcing Inference, an open source vision deployment solution. Our solution is designed with developers in mind, offering a HTTP-based interface. Run models on your hardware without having to write architecture-specific inference code. Here's a demo showing how to go from a model to GPU inference on a video…

  • Banana2022 · ▲235

    Serverless GPUs for Machine Learning inference

  • Inference Engine by GMI CloudDec 2025 · ▲180

    Fast multimodal-native inference at scale

  • SelfHostLLM2025 · ▲134

    Calculate the GPU memory you need for LLM inference

  • AIVory Smart InferenceJun 2026 · aivory.net · ▲7

    Cheaper inference. One URL. No code changes.

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