Qubrid AI
Open, inference-first AI platform for enterprise developers offering GPU compute, serverless inference, fine-tuning, and RAG on open-source models.
About Qubrid AI
Open, inference-first AI platform for enterprise developers offering GPU compute, serverless inference, fine-tuning, and RAG on open-source models.
Products
Web-based platform for GPU infrastructure, AI agents, RAG systems, model training, and AI deployment.
Run open-source AI models via OpenAI-compatible API endpoints with per-token pricing.
On-demand dedicated GPU instances with SSH access, configurable storage, and auto-stop for idle workloads.
Dedicated NVIDIA HGX infrastructure for large-scale training and inference with annual pricing and flexible contract terms.
Ready-to-use AI/ML environments preloaded with frameworks like PyTorch and TensorFlow for rapid deployment.
Unified interface to test and experiment with all models and APIs, view metrics, and generate API keys.
Model tuning capability for customizing AI models on the platform.
Deploy and run custom Hugging Face models on platform GPUs with full flexibility and control.
Design, deploy, and scale intelligent AI agents with multi-model stacks, tool calling, memory, RAG integration, and step tracing.
Compare 2-4 serverless models side by side with streaming responses, latency, and token metrics.
Enterprise software for on-premise GPU infrastructure management, deployment, monitoring, and knowledge base creation at any scale.
Browse open-source AI models and run them via API with OpenAI-compatible endpoints.
GPT OSS 120B model API with 128k token context, fast inference, coding, function calling, and multilingual support.
What customers say
- Qubrid AI Platform
CBIT used Qubrid AI's NVIDIA GPU-powered platform to train models for seven-class medical-image classification. Qubrid reports shorter training cycles, parallel experimentation, and support with environment setup and…
Case study
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