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

Helios Solutions

  • On-site data centers deployed quick

    With ever increasing demand for server compute data centers we're trying to meet that demand with smaller cost effective solutions that can be deployed in months rather than years. Our Container Data Centers (CDCs) allow for quick deployment, and allow our customers to gradually scale.

  • Partnering with energy companies and producers

    Millions of dollars of electricity is wasted by over production of renewable energy. By working with energy companies and solar operators we can we can offer lower carbon emissions and reduced costs for AI/ML and data science workloads.

  • Working with developers to schedule AI/ML efficiently

    We're working with compute marketplaces to optimize our machines for on-spot and serverless cloud services. By doing this we can help cusotmers achieve their computing needs for cheaper with less total carbon emission

NVIDIA Inception Program

Easy On-Prem Hosting

Simplifying deployment of on-premise servers is one of our main goals. We work with customers to integrate seamlessly into their networks and achieve quick deployment that can scale with your computational needs.

We’ll help integrate our services with your cloud infrastructure, design the best systems for your needs, and we offer long-term support for our systems

Sustainable Cloud Infrastructure

We’re working with the top compute marketplaces to host their on-spot and server-less customer’s needs. Our algorithms automatically adjust the price of infrastructure based on demand, cost of electricity, and market trends.

Contact us if you’d like to directly rent our infrastructure. We’re working towards offering public services for customers seeking completely renewable energy based infrastructure for artificial intelligence and machine learning.