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Enterprise Layer Intelligence
Categories/AI Hosting & Inference/Qubrid AI
Qubrid AI

Qubrid AI

Founded 2024

Deploy on-demand cloud GPUs and run open-source AI models via an API

You can use Qubrid to rent cloud GPUs and run open-source artificial intelligence models through a single API. It lets you spin up hardware like NVIDIA H100, H200, and B200 chips in under a minute for training, fine-tuning, or production workloads. You can query dozens of large language models, including DeepSeek, Qwen, and Kimi, with zero cold start latency. Because the interface matches the OpenAI SDK, you can switch backends without rewriting code while maintaining strict control over data privacy and hosting locations.

What Qubrid AI does

Rent dedicated NVIDIA H100 and B200 GPU instancesDeploy DeepSeek and Qwen open-source models via APIConnect LangChain applications directly to hosted open modelsBenchmark inference latency and token output speedsConfigure zero-retention data privacy rules for AI queriesRun multi-image multimodal inference tasks in codeProvisions on-demand GPU instances in under sixty secondsServes open-source AI models through a unified OpenAI-compatible endpointSupports hardware configurations including NVIDIA B200 and H100 GPUsEliminates cold start delays for production model inferenceGuarantees zero data retention for private queriesAllows deployments across cloud, dedicated, and on-premises infrastructure

Frequently asked

LangChainLangChainPythonPythonNode.jsNode.js

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Qubrid, AI Hosting, Cloud Computing, GPU cloud, GPUaaS, NVIDIA H100, NVIDIA B200, DeepSeek, open source models, LLM inference, model orchestration, serverless inference, AI infrastructure, enterprise RAG, sovereign AI