Cost effective solutions to today’s growing AI/ML, energy market, and cloud computing challenges.

Helios Solutions

  • Rapid Deployment of On-Site Data Centers

    With the growing demand for server compute, we provide cost-efficient, scalable solutions. Our Containerized Data Centers (CDCs) are designed for rapid deployment in months, not years, enabling businesses to expand their infrastructure seamlessly.

  • Energy Partnerships for Lower Costs and Less Energy Waste

    Millions of dollars in renewable energy are lost due to overproduction. By partnering with energy companies and solar producers, we harness this excess energy to lower carbon emissions and reduce the costs of AI, machine learning, and data science workloads.

  • Optimizing AI/ML Workloads with Developers

    We collaborate with leading compute marketplaces to optimize our systems for on-demand and serverless cloud services. This approach helps our clients meet their computing needs more efficiently, reducing both costs and environmental impact.

NVIDIA Inception Program

Easy On-Premise Hosting

We make deploying on-premise servers easy by seamlessly integrating with your existing network. Our scalable solutions are designed to grow with your computational needs. From system design to cloud integration, we provide tailored services that ensure optimal performance, along with long-term support to keep your infrastructure running smoothly.

Sustainable Cloud Infrastructure

We partner with top compute marketplaces to fulfill on-demand and serverless needs. Our intelligent algorithms dynamically adjust pricing based on demand, electricity costs, and market trends, ensuring efficiency and affordability.

For those seeking renewable energy-based infrastructure, we offer direct rental options that deliver AI and machine learning compute solutions powered entirely by sustainable energy sources.