Orbital Data Centers Hackathon with Lablab
Code Beyond Earth: Build the Future of Space Computing
🚀 Build the future of computing—in orbit. Create AI-powered space tech solutions for real-time, secure, and sustainable data processing in low Earth orbit.
🌍 Tackle real-world challenges like environmental monitoring, quantum encryption, and space infrastructure optimization.
🛰️ Join solo or with a team to create next-gen space tech!
📅 Join us for 2 days of innovation, inspiration, and interstellar impact—online from anywhere in the world.
🧑🏻💻 Register before the Kick-Off Stream to claim your spot and receive exclusive hackathon resources!
What are Orbital Data Centers?
Orbital Data Centers are next-gen cloud infrastructure deployed in space, offering ultra-low latency, natural cooling, and edge computing for satellite networks and global AI applications. They unlock resilient, energy-efficient compute beyond Earth.
🤖 Reduced Latency
Closer proximity to global users, enhancing responsiveness for real-time applications.
🚀 Enhanced Earth Observation
Real-time analytics for environmental, agricultural, and disaster-response scenarios.
⚡ Advanced Optical Communication
Enabling ultra-high-speed and secure data transfers, beneficial for quantum computing, inference, and AI training.
Innovate with Space Computing
🌌 Hackathon Challenge Tracks
1. Edge AI in Orbit
Challenge: Develop AI models optimized for orbital data centers, focusing on real-time Earth observation data processing and analytics.
2. Quantum and Advanced Computing in Space
Challenge: Explore how orbital data centers equipped with optical communication can enhance quantum computing capabilities, focusing on quantum encryption, inference, and large-scale AI model training.
3. Secure Space Communications
Challenge: Create solutions ensuring secure, ultra-low-latency optical communication between orbital and terrestrial systems, enhancing quantum-resistant security protocols.
4. Orbital Infrastructure Optimization
Challenge: Design scalable and resilient orbital data center architectures using radiation-resistant hardware, autonomous self-repair, and energy-efficient solar power utilization.
5. Inter-Satellite Optical Networks
Challenge: Develop optical inter-satellite networking technologies to optimize data transfer, support advanced inference scenarios, and manage distributed training workloads in orbital constellations.
6. Real-Time Autonomous Decision-Making
Challenge: Address technical challenges highlighted by Axiom Space, including real-time multi-sensor data fusion, autonomous decision-making using AI/ML and large language models, and cyber-secure endpoint detection and response independent of terrestrial infrastructure.
7. Sustainable and Responsible Space Computing
Challenge: Propose sustainable operational models addressing space debris reduction, optimized energy use, and lifecycle management of orbital computing infrastructure.
Suggested Technologies
AI/ML API provides advanced features like text completion, image inference, speech-to-text, and more, offering seamless integration, high performance, and secure key management.
👉 Read more about AI/ML API
AutoGen is an open-source framework simplifying the creation of multi-agent systems using LLMs, enabling coordinated AI interactions with humans and tools.
AgentOps is a platform for monitoring, debugging, and optimizing AI agents with tools like session replays, metrics dashboards, and custom reporting in real-time.
CrewAI is a modular, multi-agent framework enabling AI teams for streamlined workflows, automation, and insights, perfect for developers and businesses.
🏆Acceleration Opportunity
The top teams from this hackathon will get a fast-track interview for the exclusive 6-week lablab NEXT incubator program.
What to submit?
📋 Basic Information
• Project Title
• Short Description
• Long Description
• Technology & Category Tags
📸 Cover Image and Presentation
• Cover Image
• Video Presentation
• Slide Presentation
💻 App Hosting & Code Repository
• Public GitHub Repository
• Demo Application Platform
• Application URL
For further details and guidance, please visit Submission Guidelines
Hackathon Details
Join lablab.ai hackathon and innovate using the latest models in the market. Discover all the relevant details below.
🗓️ Where and when
The start date of the hackathon is mentioned according to the date specified on the hackathon page, cover and schedule. The hackathon will take place on the lablab.ai platform and lablab.ai Discord server.
🦸🏼♂️ Who can join?
Everyone is welcome to participate, regardless of previous AI or coding experience! We encourage anyone with a passion for AI or an interest in exploring how it can be used in their field to join.
😅 What about teams?
If you don't have a team, don't worry! You can connect with other participants from all over the world on our dashboard or Discord server. We also recommend checking out our Discord server to find teammates and bounce around ideas. You can join the server here.
🛠️ How to participate
The hackathon will take place online on lablab.ai platform and lablab.ai Discord Server. Please register for both in order to participate. To participate click the "Enroll" button at the bottom of the page and read our Hackathon Guidelines and Getting Started Guide.
🧠 Get prepared / Use Lablab.ai to Learn About AI
To get ready for the hackathon, visit our AI Tech pages and read up on all the available technologies. You can also check out our tutorials page for more information on how to use them. Get a head start on your project by using the resources on lablab.ai!
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