Welcome to the world of stack8s, where cloud-native meets simplicity. Built to empower developers, data scientists, and research teams, stack8s offers a powerful platform that simplifies infrastructure, cuts costs, and scales effortlessly.
🌐 Social Media & Team
- 🔗 Company LinkedIn: Stack8s on LinkedIn
- 👤 Founder LinkedIn: Jeremy Murray
- 📖 About the Co-Founder: Read more
✍️ Blogs & Articles
Stay up-to-date with stack8s developments and policies:
- 📚 Blog Home: Stack8s Articles
- 📄 Data Processing Agreement: View DPA
- 🇪🇺 Europe GDPR Compliance: Read GDPR Policy
- 🌱 Environmental Policy: Read the Policy
- 🏛️ ESG Policy: Read the ESG Policy
- 🤝 Affiliate Program (Draft): Read the Draft Agreement
🎥 Demo Videos
Explore how stack8s helps teams build, scale, and migrate across cloud environments:
Dev Portal
IoT Stack - bookmark from video above:
Easy Migration of Microservices from AWS to Digital Ocean
AI & GPU Analytics Notebooks
Testimonial from Imperial College London
Description
In this video, we sit down with Prof. Payam Barnaghi (Chair in Machine Intelligence Applied to Medicine, Imperial College London / Royal Academy of Engineering Research Chair in Machine Intelligence for Medicine) to explore how they have been using the stack8s.ai platform since January 2024. The teams share their insights on how this cutting-edge AI platform has transformed their research and analytics workflows.
📌 Key Discussion Points
Team Roles & Research Focus: Learn more about the team’s roles at Imperial College and the critical research they conduct in the fields of data science and analytics.
Pain Points in Infrastructure & Analytics: The team opens up about the key challenges they faced before adopting stack8s.ai, particularly around infrastructure limitations with internal IT challenges, skillsets, scalability, and cost efficiency.
How stack8s.ai Solves These Problems: Discover how stack8s.ai platform has significantly streamlined operations, allowing the team to overcome bottlenecks, enhance computational power, and reduce time-to-insight.
Cost Efficiency: Hear a detailed comparison of how much it would have cost to run similar operations on a cloud provider, and the considerable savings stack8s.ai has brought to the table. Saving them around $200,000+ per year.
User Satisfaction: Finally, the team shares their satisfaction with the platform's functionalities and discusses their plans to continue collaborating with stack8s.ai.
If you're interested in how platforms like stack8s.ai can support your project irrespective of your industry and deliver cost-effective, scalable analytics solutions, this testimonial is a must-watch!
Ready to simplify your infrastructure and scale your mission?
🔗 Visit us at stack8s.ai