Chair, CEO & Co-Founder
P
Petuum
The startup offers a machine learning infrastructure platform that provides a flexible operating system and virtualization interface for building and deploying machine learning and deep learning applications at scale. This technology enables enterprises to manage applications and hardware from a single terminal, resulting in increased productivity, reduced operational costs, and faster delivery times.
- Artificial Intelligence
- Developer Tools
- Enterprise Software
- Software Only
Updated 21 months ago
Funding
Raised to date
$158MRaised 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.
Funding rounds are not available yet.
Founders
Product
Problem
Enterprises face challenges in managing the complexities of machine learning (ML) and deep learning (DL) infrastructure, including hardware and software dependencies, diverse application requirements, and scalability issues. Managing these complexities often leads to increased operational costs and slower deployment times for ML/DL applications.
Solution
The startup provides a machine learning infrastructure platform designed to streamline the development and deployment of ML/DL applications. The platform offers a flexible operating system and virtualization interface, enabling enterprises to manage both applications and hardware resources from a unified terminal. By abstracting away the underlying infrastructure complexities, the platform aims to increase productivity, reduce operational overhead, and accelerate the delivery of ML/DL solutions.
Target Audience
The primary target audience includes enterprises and organizations that are developing and deploying machine learning and deep learning applications at scale.
Features
- Unified management console for monitoring and controlling ML/DL applications and hardware resources.
- Virtualization interface to abstract away hardware dependencies and ensure application portability.
- Scalable architecture to support growing ML/DL workloads.
- Flexible operating system optimized for ML/DL tasks.