Ori provides on-demand access to top-tier GPUs and serverless Kubernetes for training and deploying machine learning models at scale. The platform offers cost-optimized solutions that allow users to pay only for the resources they utilize, addressing the need for flexible and efficient AI infrastructure.
Funding
$148.8M 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
Training and deploying machine learning models at scale requires significant computational resources, particularly GPUs, which can be expensive and difficult to access on demand. Traditional cloud solutions often involve complex configurations and upfront costs, making it challenging for organizations to efficiently manage their AI infrastructure and optimize resource utilization.
Solution
Ori provides on-demand access to top-tier GPUs and serverless Kubernetes, enabling users to train and deploy machine learning models without the complexities of traditional infrastructure management. The platform offers cost-optimized solutions, allowing users to pay only for the resources they consume, ensuring efficient utilization and reduced operational expenses. Ori's infrastructure scales to the needs of any model, team, or scale.
Target Audience
Ori targets organizations and individuals involved in machine learning, including AI researchers, data scientists, and software engineers, who require scalable and cost-effective GPU resources for training and deploying AI models.
Features
- On-demand access to the latest generation of NVIDIA GPUs at competitive rates
- Serverless Kubernetes for autoscaling and efficient deployment of AI models
- Highly configurable and accessible storage solutions for diverse datasets
- Pre-configured, one-click virtual supercomputers for simplified deployment at massive scale