Apolo provides a white-label AI platform that integrates with existing data center infrastructure, enabling colocation and hybrid cloud providers to offer GPU-as-a-Service without the need for costly data migrations. This solution enhances operational efficiency by supporting AI development tools and seamlessly connecting with back-office applications like billing and ERP systems.
Funding
$5.8M 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
Data centers face challenges in offering GPU-as-a-Service (GPUaaS) due to the complexities of integrating AI development tools, managing high-performance computing (HPC) resources, and ensuring seamless connectivity with existing back-office infrastructure. Migrating large datasets to leverage GPU resources can be costly and time-consuming, hindering the adoption of AI solutions.
Solution
Apolo provides a white-label AI platform designed to integrate with existing data center infrastructure, enabling colocation and hybrid cloud providers to offer GPUaaS without requiring extensive data migrations. The platform offers an abstraction layer and orchestration for AI development tools, along with seamless integration with back-office applications like billing and ERP systems. Apolo supports the latest AI workflows, including OpenAI, Llama, and Claude, and can be deployed in a distributed architecture to support dedicated instances or self-service GPU clouds. By offering GPUaaS where the data already resides, Apolo helps data centers meet regulatory, security, and privacy requirements while avoiding costly data transfers.
Target Audience
Apolo targets data centers, colocation providers, and hybrid cloud providers looking to offer GPU-as-a-Service to their enterprise clients, as well as startups seeking to accelerate AI development.
Features
- White-label solution designed for data centers to offer GPU-as-a-Service
- Integration with leading AI workflows, including OpenAI, Llama, and Claude
- Abstraction layer and orchestration for AI development tools
- Seamless integration with data center back-office applications such as billing systems and ERP
- Support for multi-tenancy to enable dedicated instances or self-service GPU clouds
- Comprehensive suite of HPC servers optimized for AI model training and inference
- Integration with open-source and proprietary AI development tools into a unified environment
- Support for enterprise-grade MLOps and AI services