| title | Introduction |
|---|---|
| description | Welcome to Qubrid Platform, the Full Stack for AI. |
Qubrid provides a unified environment where developers, researchers, and enterprises can build, deploy, manage, and scale AI/ML workloads with ease.
Unlike traditional cloud platforms, which are often generic and complex, Qubrid is purpose-built for AI - offering GPU-powered compute, AI-specific templates, managed agents, RAG workflows, and enterprise-ready features like usage tracking, team collaboration, and on-premise deployment options.
This documentation will help you understand the platform, its core features, and how to effectively use it to accelerate your AI journey. <Card title="Start here" icon="rocket" href="https://platform.qubrid.com/" horizontal
Go to Qubrid Platform and create an account. Whether you are a solo developer testing models, a researcher experimenting with new architectures, or an enterprise team scaling production AI workloads, Qubrid provides the tools to make it simple, scalable, and cost-efficient.
Accelerate Development, Fine-tuning, and Deployment of Generative AI & LLM Models.
Craft your own custom models with a user-friendly, code-optional interface. Integrate trained models into your applications with a few clicks, accelerating the path to market. Jumpstart your project with a library of industry-leading models for tasks like image recognition, natural language processing, and more. Fine-tune pre-trained models or your own creations with robust optimization tools and access to high-performance compute resources.Flexible Infrastructure Options - Workload Orchestration Across GPU, CPU, NeoCloud
Choose from a range of on-demand compute instances for general development. Deploy models with lightning-fast performance using optimized inference GPUs. Access cutting-edge NVIDIA, AMD & Intel GPUs designed for training & tuning LLMs. Conduct quantum simulations on GPUs & access real quantum computing resources (FCFS).AI workloads are resource-intensive, fragmented, and expensive to manage on generic cloud platforms. Qubrid solves these challenges by offering:
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AI-First Design
Everything in Qubrid is built for AI/ML - from GPU scheduling to optimized inferencing pipelines. -
Speed to Market
With pre-configured templates, RAG workflows, and one-click agents, you can go from idea to deployment in hours, not weeks. -
Scalability
Run workloads of any size - from small experiments to large distributed GPU clusters - without manual configuration. -
Cost Efficiency
Pay only for what you use, with transparent credits and usage dashboards. -
Collaboration
Manage organizations, teams, roles, and shared credits, so multiple users can work seamlessly. -
Flexibility
Deploy in the Qubrid NeoCloud or bring it on-prem for enterprises needing private/hybrid setups.
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Developers
Quickly prototype, test, and deploy AI/ML models without worrying about GPU setup. -
Researchers
Run experiments at scale, fine-tune open-source models, and validate results with optimized pipelines. -
Startups
Bring AI-powered products to market faster with prebuilt workflows and cost-efficient compute. -
Enterprises
Enable teams to collaborate, manage resources, and deploy production AI securely at scale.
<Card title="AI Templates" icon="book-open" href="https://platform.qubrid.com/create-ai-compute"
• Prebuilt Models
• Fast Tuning
• One-Click Deploy
<Card title="RAG Workflows" icon="robot" href="https://platform.qubrid.com/model-studio/rag"
• Smart Agents
• Knowledge Retrieval
• Context Apps
<Card title="App Integrations" icon="link"
• Hugging Face
• API SDKs
• Event Webhooks
<Card title="Data Security" icon="shield"
• Role Control
• Data Encryption
• Compliance Ready