QUBRID
An open, inference-first AI platform for enterprise developers, offering a full-stack solution for compute, inference, fine-tuning, and RAG on open-source models.
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About
QUBRID AI is an open, inference-first AI platform designed for enterprise developers. It provides a comprehensive full-stack solution encompassing compute, inference, fine-tuning, and Retrieval Augmented Generation (RAG) capabilities for open-source AI models. The platform offers serverless APIs, GPU Virtual Machines, and an 'AI Factory' to enable scalable AI inference for businesses building AI applications. Teams look it up for Cloud Infrastructure, Cloud Management, DevOps.
Frequently asked
What does QUBRID do?
QUBRID is a Cloud Infrastructure company that offers Platform. Teams look it up for Cloud Management, DevOps, Enterprise Software. It was founded in 2015. Public records show about 18 people. Compare it on funding, headcount, reviews and nearby alternatives rather than the marketing line alone.
When was QUBRID founded?
QUBRID was founded in 2015.
What industry does QUBRID operate in?
QUBRID operates in Cloud Infrastructure, Cloud Management, DevOps, Enterprise Software, Application Deployment.
How many employees does QUBRID have?
QUBRID has approximately 18 people on record.
Does QUBRID have an affiliate program?
Yes, QUBRID has an affiliate program. The program runs on Self-hosted affiliate. Register here: https://qubrid.com/affiliates
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“You can plug literally any OpenAI-compatible API (Ollama, vLLM, Qubrid AI, anything) into VS Code Chat natively. Here's how.. Upfront: we're posting from a company account (we run an AI inference platform), but this isn't about our product…”
View on Reddit“So I’ve been going down the “run models locally” rabbit hole and… not gonna lie, it’s been kinda painful. Right now I mostly just use platforms like Fireworks, Together, OpenRouter, and Qubrid. They do the job, no complaints - I’m mainly us…”
View on Reddit“We just added 70+ AI models to Qubrid AI. One thing that always felt broken to us with AI tooling is how hard it still is to answer a basic question: Which model should I actually use?”
View on Reddit“Adding 50+ models to Qubrid AI taught us something kind of uncomfortable. We recently added 50+ models to Qubrid AI , and honestly, the weirdest part wasn’t infra, routing, or deployment. It was realizing how fast users start treating “AI o…”
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