Nova, the Science AI
What is Nova?
Nova is Camber’s scientific AI assistant—your primary interface for interacting with CamberCloud platform. It transforms natural language into actionable outputs (text, images, and code) while seamlessly bridging conversational interfaces with high-performance computing resources.
Prerequisites: Active CamberCloud account with platform access. No coding experience required.
💡 Technical Specifications
- Context Window: Up to 1 million tokens
- Standard Context: 200,000 tokens
- Max Output: 64,000 tokens
- Model Foundation: Based on Claude Sonnet 4.0 architecture
Core Capabilities
Below are Nova’s five primary capabilities. Click on any expandable section to see examples and detailed information.
1. Job Execution Management
Nova provides intelligent control over computational jobs:
- Natural language job control: Launch, monitor job status and progress, or cancel
- Batch operations: Simultaneous multi-job execution
- Smart resource optimization: Workload-based recommendations
📊 Real-time job monitoring dashboard
Job status panel showing ID, hardware allocation (XSMALL GPU node), and 5-stage simulation progress with estimated runtime. See job attributes reference for configuration details.
2. File System Integration
Seamless interaction with CamberCloud’s distributed file system (Stash):
- File operations: Direct read/write and drag-and-drop uploads
- Smart management: Create, organize, and delete
- Automated processing: File format detection and data parsing
🔄 Drag-and-drop file uploader interface
Stash browser showing project directories with drag-and-drop zone for direct file uploads
3. App Discovery and Execution
Intelligent application recommendation and deployment:
- Smart suggestions: Problem-based app recommendations
- Guided configuration: Parameter optimization and automatic setup
- Seamless execution: Direct launch from conversation
- Result analysis: Interpretation and next-step guidance
🔍 Intelligent app recommendations
Nova suggesting GROMACS and LAMMPS applications for protein-water simulations with tagged categories
⚙️ Parameter configuration assistant
App launch interface with Nova-assisted parameter settings.
4. Integrated Coding Agent
Full-featured execution environment with:
- Intelligent code generation: Data analysis and visualization
- Resource-aware execution: Run on selected compute nodes
- Automated workflows: Pipelines with dependency management
📈 Interactive visualization artifacts
Nova chat dialog showing clickable artifact icons generated by coding agent 1️⃣. When clicked, these open a coding agent artifacts preview dialog 2️⃣ displaying the generated visualizations. All artifacts are automatically saved to the “chats” folder in Stash
🖥️ Hardware-aware execution environment
Coding agent interface showing 1️⃣ compute node selection (XSMALL with GPU) and 2️⃣ GPU detection results displaying NVIDIA L4 specifications
5. Persistent Chat History and Artifacts
All interactions and generated content are automatically preserved:
- Chat history: Complete conversation continuity
- Artifact preservation in your Stash “chats” folder:
- Generated code scripts
- Data visualizations and plots
- Analysis results and reports
- Intermediate computational outputs
Getting Started
Access Nova through the CamberCloud platform interface. Simply type your scientific computing needs in natural language, and Nova will guide you through the optimal workflow using CamberCloud’s resources.
Quick Start Examples
Example prompts to try with Nova
- “Run a molecular dynamics simulation of my protein structure”
- “Help me visualize the results from my MESA stellar evolution job”
- “I need to process 1000 images using GPU acceleration”
- “Create a data analysis pipeline for my genomics dataset”
Related Documentation
- Apps Catalog - Browse available scientific applications
- Stash File System - Learn about file management
- Job Attributes Reference - Understand job configuration options
- HPC Systems - Explore compute resources
Ready to accelerate your research? Start a conversation with Nova today. 🚀