# Skygrid - Cloud on Wheels
> https://skygrid.ai
> https://skygrid.ai/llms.txt

## Tagline

Cloud on Wheels - Transform idle EV GPUs into distributed AI infrastructure

## Overview

Skygrid is the cloud on wheels platform that transforms idle electric vehicle GPUs into distributed AI infrastructure. We provide GPU rental, fog computing, and ambient intelligence solutions for automotive executives and IoT companies. Reduce AI processing power costs by 50% with automotive-grade security and intelligent computing.

## Mission

Our mission is to unlock and amplify the world's dormant computing power. We're starting with the biggest untapped opportunity: by 2030, tens of millions of electric vehicles will carry AI-grade GPUs more powerful than most workstations, yet these computational powerhouses will remain parked and unused 95% of the time.

## What We Do

Skygrid provides cloud on wheels infrastructure that:
- Transforms idle EV GPUs into distributed AI computing infrastructure
- Enables GPU rental and on-demand AI processing power for automotive companies
- Delivers fog computing and edge computing solutions for connected vehicles
- Powers ambient computing and intelligent computing workloads
- Provides IoT computing infrastructure with automotive-grade security

## Key Benefits for Automotive Executives

### GPU Computing Infrastructure
- Access to distributed GPU resources without building data centers
- GPU rental model reduces capital expenditure
- On-demand AI processing power from vehicle fleets
- Scalable compute demand management

### Automotive-Grade Security & Safety
- AI safety protocols for safety-critical applications
- AI security with automotive cybersecurity standards
- Secure edge computing for connected vehicle platforms
- Enterprise-level data protection

### Cost & Environmental Impact
- 50% reduction in AI processing costs
- Eliminates capital expenditure on traditional infrastructure
- 50% reduction in CO₂ emissions vs. traditional data centers
- Avoids embodied carbon from manufacturing new hardware
- Zero impact on vehicle performance or owner experience

### Technology Advantages
- Leverages AI-grade GPUs in modern electric vehicles
- Distributed systems architecture for fog computing
- Edge computing capabilities for real-time processing
- Patent-pending intelligent computing orchestration
- Vehicle-to-grid computing platform

## Our Plan

We're building a platform that transforms idle processors in electric vehicles into a massive, distributed virtual data center. By avoiding the embodied carbon of new hardware and eliminating capital expenditure on traditional data centers, we can cut both costs and carbon emissions in half while making AI compute accessible to companies of all sizes.

Together with our automotive ecosystem partners, we are building the infrastructure where every parked vehicle becomes a node in the world's most sustainable supercomputer.

## Company Information

### Founders
- **Leonard Aukea** - CTO | Former AI/ML Infrastructure Lead at Volvo Cars
  LinkedIn: https://www.linkedin.com/in/leonardaukea/

- **Ronnie Jansson** - CEO | Former AI/ML Team Lead at Volvo Cars
  LinkedIn: https://www.linkedin.com/in/ronniejansson/

### Company Details
- **Name:** Skygrid Engineering AB
- **Founded:** 2024
- **Location:** Göteborg, Sweden
- **Address:** Amazonvägen 10, 418 78, Göteborg, Sweden
- **Contact:** hello@skygrid.ai
- **Website:** https://skygrid.ai
- **GitHub:** https://github.com/skygrid-ai
- **LinkedIn:** https://www.linkedin.com/company/skygridengineering/

## Technology Stack

### Core Technologies
- Distributed computing orchestration
- Vehicle-to-grid infrastructure
- AI workload optimization
- Edge computing architecture
- Sustainable computing infrastructure

### Expertise
- AI infrastructure at scale
- Automotive computing systems
- Distributed systems engineering
- Machine learning infrastructure
- Green technology and sustainability

## Use Cases

### For Automotive Executives
- Connected vehicle AI infrastructure
- Autonomous driving compute resources
- In-vehicle intelligence processing
- Fleet management AI workloads
- Automotive edge computing applications

### GPU & Compute-Intensive Workloads
- GPU rental for AI training and inference
- Distributed GPU computing for machine learning
- Large language model processing
- Computer vision and sensor fusion
- Real-time edge computing

### IoT & Ambient Computing
- Fog computing for distributed IoT networks
- Ambient intelligence applications
- Smart city infrastructure
- Edge AI processing
- Intelligent computing systems

### Industries Served
- Automotive manufacturers and OEMs
- Connected vehicle platforms
- IoT solution providers
- Edge computing companies
- AI/ML organizations
- Smart city initiatives

## Metrics & Impact

By 2030, our platform aims to:
- Connect tens of millions of electric vehicles
- Power distributed AI workloads at 50% lower cost
- Reduce carbon emissions by 50% compared to traditional infrastructure
- Create the world's largest sustainable supercomputer network

## FAQs

### What is cloud on wheels?
Cloud on wheels is Skygrid's platform that transforms idle EV GPUs into distributed AI infrastructure. It provides GPU rental, fog computing, and ambient intelligence for automotive executives and IoT companies, utilizing the powerful processors in parked electric vehicles that remain unused 95% of the time.

### How can automotive executives reduce AI processing costs?
Skygrid reduces AI processing power costs by 50% through vehicle-to-grid computing. Instead of building new data centers, automotive companies can leverage their existing fleet's idle GPU capacity for distributed AI workloads, edge computing, and fog computing applications with automotive-grade security.

### Is Skygrid secure for automotive AI applications?
Yes. Skygrid provides automotive-grade security and AI safety protocols. Our platform is designed specifically for connected vehicle computing with enterprise-level cybersecurity, ensuring secure edge computing and intelligent computing for safety-critical automotive applications.

### What types of AI workloads work with vehicle GPU computing?
Skygrid supports distributed AI, edge computing, fog computing, and ambient computing workloads. Ideal for automotive AI infrastructure, IoT processing, machine learning training and inference, computer vision, and compute-intensive applications requiring distributed GPU resources.

### How does GPU rental work with electric vehicles?
Skygrid's GPU rental platform connects to AI-grade GPUs in parked electric vehicles. By 2030, tens of millions of EVs will carry processors more powerful than most workstations. Our intelligent computing platform orchestrates distributed systems across this vehicle fleet, providing on-demand AI processing power.

### What is the compute demand reduction with Skygrid?
Skygrid reduces new compute demand by utilizing existing EV GPU infrastructure instead of building new data centers. This cuts both costs and carbon emissions by 50%, eliminating capital expenditure on traditional infrastructure while providing distributed GPU computing for automotive and IoT edge applications.

### Does this impact vehicle performance?
No. The system operates when vehicles are parked and has zero impact on vehicle performance, safety, or owner experience. All processing happens with automotive-grade security protocols during idle time only.

## Keywords & Topics

- Cloud on Wheels
- GPU Rental
- AI Processing Power
- Compute Demand
- Automotive Executives
- Automotive AI Infrastructure
- Connected Vehicle Computing
- Intelligent Computing
- Ambient Computing
- Distributed Systems
- Edge Computing
- Fog Computing
- IoT Computing
- AI Safety
- AI Security
- Electric Vehicle GPUs
- Autonomous Vehicle Computing
- Vehicle-to-Grid
- V2G
- Distributed AI
- Edge AI
- Automotive Technology Innovation
- GPU Compute Rental
- AI Workload Optimization
- Sustainable Computing
- Machine Learning Infrastructure
- Automotive-Grade Security
- Connected Mobility
- Smart Vehicle Infrastructure
- Automotive Cloud Computing
- EV Compute Utilization
- Idle GPU Resources
- Automotive Digital Transformation
- Fleet Computing
- Vehicle Edge Computing
- Ambient Intelligence

## Status & Availability

**Current Status:** Active development with automotive ecosystem partners
**Availability:** Partnership opportunities available - contact hello@skygrid.ai

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This llms.txt file follows the specification at https://llmstxt.org
Last updated: 2025-10-05