Drew Hilles
CEO
PureNodal
The startup operates a decentralized data center and cloud services platform that enables rapid deployment of applications with low latency and data sovereignty. Its services include database management, computing, and storage, addressing the need for efficient and compliant cloud solutions in a data-driven environment.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Software Only
Updated 6 months ago
Funding
Raised to date
$34.4MRaised 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
JD Jones
Chief Operating Officer
Russell Cozart
Chief Marketing / Product Officer
Larry Haley
Chief Technology Officer
Product
Problem
Traditional cloud infrastructure struggles to meet the demands of modern AI, machine learning, and high-performance computing workloads due to limitations in speed, scalability, cost, and sustainability. Existing data centers face challenges related to power consumption, cooling, latency, and data transfer bottlenecks, hindering innovation and increasing operational expenses.
Solution
PureNodal provides a next-generation cloud infrastructure platform optimized for AI, ML, and HPC workloads, delivering enhanced performance, scalability, and cost-efficiency. The platform features a decentralized, software-defined nodal network with sub-15ms latency and N+2 redundancy, ensuring high availability and rapid edge connectivity. Liquid immersion cooling technology reduces power consumption and eliminates water usage, promoting sustainability. Direct PCI-attached NVMe storage enables breakthrough data transfer speeds to GPUs, eliminating bottlenecks and accelerating processing. Customers can deploy and manage virtual machines through APIs or a browser-based interface, leveraging high-performance CPUs and GPUs, including NVIDIA's H100.
Target Audience
PureNodal targets enterprises and organizations with demanding AI, ML, and HPC workloads, including those in media and entertainment, financial services, life sciences, and high-tech industries.
Features
- Decentralized, software-defined network with N+2 redundancy for high availability
- Low-latency nodal network (sub-15ms) for rapid edge connectivity
- Liquid immersion cooling for reduced power consumption and water usage
- Direct PCI-attached NVMe storage for breakthrough data transfer speeds to GPUs
- Support for NVIDIA H100 GPUs for accelerated AI/ML workloads
- Multicast support within the cloud for efficient content distribution
- API and browser-based interface for VM deployment and management
- High-performance block storage built on NVMe SSDs
- Object storage powered by Backblaze for scalable and cost-effective data archiving