Vitral AI
Vitral is an AI-integrated workspace hub for LLM interaction and collaborative AI tool usage.
Why Choose Vitral AI?
Vitral AI is perfect if you want a flexible workspace where AI tools and chatbots actually work together with you. It’s got everything from code editors to visual recognition, making it a killer hub for anyone who deals with LLMs and wants to get stuff done efficiently.
Vitral is an AI-integrated workspace hub for LLM interaction and collaborative AI tool usage.
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Vitral AI Introduction
What is Vitral AI?
Vitral is a workspace hub with native AI integrated tools, designed as the next phase in interaction with LLMs. It allows AI chatbots to collaborate with users through virtual notebooks, live samples, and code editors. Vitral offers flexible workspaces tailored for specific tasks, visual recognition, enhanced conversation interfaces, live sample creation, image generation, modular multi-pane workspaces, interactive web-based terminals, integrated code editors, rich-text notebooks, custom AI agents, advanced search & data indexing, AI-managed compute instances, and support for multiple LLMs.
How to use Vitral AI?
Create a workspace in Vitral to start fresh and focused. Switch between tailored work areas optimized for specific tasks. Leverage AI agents and LLMs within the workspace to execute commands, manage data, and collaborate in real-time. Purchase credits to use across any service or model.
Why Choose Vitral AI?
Vitral AI is perfect if you want a flexible workspace where AI tools and chatbots actually work together with you. It’s got everything from code editors to visual recognition, making it a killer hub for anyone who deals with LLMs and wants to get stuff done efficiently.
Vitral AI Features
AI Developer Tools
- ✓AI-powered visual recognition
- ✓Enhanced conversation interface with markdown and code formatting
- ✓Live sample creation and management
- ✓Modular multi-pane workspaces
- ✓Integrated code editor
- ✓Custom AI agents (Mnemodia, Iris, Carlo)
- ✓Advanced search & data indexing
- ✓AI-managed compute instances
- ✓Support for multiple LLMs (OpenAI, Anthropic, Llama, Mistral, Gemini)
FAQ?
Pricing
Token Pricing
Flexible pay-as-you-go credit system for LLM token consumption. Cost per 1,000 tokens varies by provider and model (e.g., OpenAI GPT 3.5: Input $0.00060, Output $0.01200).
Storage Plans
Pay only for the storage you use beyond the free 25GB tier.
Compute Instances
Select from a range of compute instances with varying CPU and memory configurations. Charges apply for compute instances that are deployed permanently or if usage exceeds the free tier limits.