Alternatives

Products that do what Inference Engine by GMI Cloud does

Fast multimodal-native inference at scale

1. 1
   Groq®▲237

   Hyperfast LLM running on custom built GPUs

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2. 2
   Kimi K2.5▲205

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3. 3
   Seedream 5.0 Lite▲99

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4. 4
   Janus▲224

   Unified Multi-Modal AI by DeepSeek

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5. 5
   YourGPT 2.0▲215

   Powerful Conversational AI Agent Builder Platform

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6. 6
   GLM-4.6V▲239

   Open-source multimodal model with native tool use

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7. 7
   Parrot Speech-to-text API▲194

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8. 8
   PlayHT-Turbo▲148

   The fastest generative AI Text-to-Speech API

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9. 9
   MTIA v2▲116

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10. 10
    RunInfra▲156

    Describe the AI model you need and get an optimized AI

    Jul 2026 · runinfra.ai

11. 11
    Trieve Vector Inference▲168

    Deploy fast, unmetered embedding inference in your own VPC

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12. 12
    MulmoChat▲88

    Modular Interface for visually interactive AI responses

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13. 13
    ApertureDB Multimodal AI Workflows▲144

    Automate common AI tasks for multimodal data

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14. 14
    Phi-4-reasoning-vision▲124

    Open-weight 15B multimodal model for thinking and GUI agents

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15. 15
    Superflow AI Copilot (GPT-4)▲171

    A creative writing companion on your website

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16. 16
    MTIA 300▲98

    Meta's 3rd-gen custom AI chips for GenAI inference

    Mar 2026

17. 17
    Grok 4.2 Beta 2▲106

    Real-time multi-agent AI that debates itself to find truth.

    Apr 2026

18. 18
    Monostate AItraining▲59

    Fine-tuning, RL, and inference in one CLI

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19. 19
    Seedream 4.5▲117

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20. 20
    oneinfer.ai▲15

    Unified Inference Stack with multi cloud GPU orchestration

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21. 21BO
    Bhumi–OSS Python Library w Rust Underhead for 2.5x Faster LLM Inference▲8

    Read the full blogpost at https://rach.codes/blog/Introducing-Bhumi (click on reader to see the technical breakdown!) AI inference should be fast, but in practice it’s painfully slow. Inference bottlenecks slow down LLM-powered chatbots and AI workflows everywhere. I built Bhumi to fix that. Bhumi is a Python library designed for developers, yet its performance-critical core is implemented in Rust (via PyO3) for near-native speed. This hybrid approach delivers up to 2.5x faster response times across providers like OpenAI, Anthropic, and Gemini—without changing the…

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22. 22GA
    GPU-Accelerated Inference Hosting▲56

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23. 23TR
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24. 24EN
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