Provides a cloud orchestration platform that integrates directly with AWS to deploy and manage AI models and applications on a scalable GPU grid. It eliminates inefficiencies like overprovisioning, idle resources, and reliance on third-party resellers by offering true autoscaling, cost management, and a one-click setup, reducing cloud costs and deployment time significantly.
Funding
$5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Setting up and managing cloud GPU infrastructure for AI inference and high-performance computing is complex and time-consuming, often involving convoluted configurations and reliance on third-party resellers. This leads to overprovisioning of resources, underutilization, and ultimately, inflated cloud costs.
Solution
Oorbit Maingrid is a cloud orchestration platform that simplifies the deployment and management of AI models and applications on a scalable GPU grid. By integrating directly with AWS and other cloud providers, Maingrid eliminates the need for third-party resellers and complex configurations. The platform offers features like one-click setup, true autoscaling, and cost management, enabling users to dynamically scale resources with demand and pause unused instances. This approach maximizes performance while minimizing waste, providing a more efficient and cost-effective solution for AI inference and high-performance computing.
Target Audience
The primary target audience includes AI developers, machine learning engineers, and enterprises seeking a streamlined and cost-effective solution for deploying and scaling AI applications in the cloud.
Features
- One-click setup for deploying AI models and applications on AWS and other cloud providers
- True autoscaling that dynamically adjusts resources based on demand
- Automatic pausing of unused EC2 instances to eliminate wasteful spending
- Direct integration with AWS, eliminating the need for third-party resellers
- Support for splitting GPUs to maximize utilization
- Serverless GPU feature for efficient management of inference and production workloads