Skip to main content

Ori Industries

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.

Traction 10/10
London, United Kingdom · HQ
Founded 2019765K+ followers
  • Artificial Intelligence
  • Developer Tools
  • Software Only
Updated 7 months ago

Funding

Raised to date

$148.8MRaised 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.

+1
Funding rounds are not available yet.

Founders

2 founders

Jacob Smith

Former musician, ex-Packet, ex-GTM at Equinix. Volunteer and board member. Currently building new things.

Richard Tame

Chief Financial Officer

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
This profile is AI-generated and may contain inaccuracies.