Platform & Technology

PureNodal’s platform revolutionizes cloud infrastructure for next-generation workloads, underpinned by technological advancements that set new benchmarks for performance, reliability, and sustainability.

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Software-Defined Network & Cloud Fabric

At the heart of our innovation is a proprietary Cloud Fabric and SDN infrastructure, designed for edge-native performance. This ensures best-in-class real-time data manipulation. Our platform delivers a fully redundant N+2 configuration, utilizing a custom-architected container fabric that integrates a resilient auto-failover system, significantly minimizing downtime. The massively scalable infrastructure and programmable network architecture are purpose-built for speed and flexibility.

Customers interact with our platform through APIs or a browser-based interface, enabling the instant deployment, management, and scaling of virtual machines. These VMs leverage the latest high-performance CPU and GPU technologies, such as NVIDIA’s A100, within our unique immersion cooling data center infrastructure.

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Liquid Immersion Cooling

We're committed to a greener future. Our infrastructure is not only designed for optimal performance but also with a keen eye on ecological responsibility. Our company is pioneering a shift away from traditional constraints, bringing forward the era of truly green and sustainable cloud services. At the heart of this transformation is Liquid Immersion Cooling Technology, marking us as one of the first cloud providers in the US to adopt immersion cooling nationally. This sustainable technology not only eliminates 95% of traditional equipment and failure points but also operates with almost no water, less power, and a reduced carbon footprint, enabling deployment in locations previously inaccessible to traditional providers. Using Liquid Immersion Cooling, our data centers are built with the environment in mind.

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Nodal Network

Our decentralized deployment of a distributed, high-speed, and low-latency nodal network ensures workloads can be executed at the edge, closer to end-users, with less than 15ms latency, embodying a model that delivers unparalleled efficiency and cost savings.

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Revolutionary Data Transfer Speeds

A key technological breakthrough is our method of data transfer to GPUs at full PCI bus speeds, utilizing NVMe direct PCI-attached storage. This eliminates bottlenecks typically found in existing environments, resulting in dramatically reduced latency, and ensuring rapid processing and throughput compared to traditional cloud environments – a game changer for AI / ML and HPC workloads.

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Multicast within the Cloud

PureNodal pioneers the use of multicast technology within the cloud, a feature rarely supported by traditional providers. This technology is crucial for broadcasting applications, allowing simultaneous transmission of data to multiple destinations, offering a more bandwidth-efficient solution than unicast and significantly reducing costs and network congestion.

Locations

  • Albuquerque
  • Atlanta
  • Boise
  • Boston
  • Chicago
  • Columbus
  • Dallas-Fort Worth
  • Denver
  • Houston
  • Kansas City
  • Las Vegas
  • Los Angeles
  • Miami
  • Minneapolis–Saint Paul
  • Nashville
  • Northern Virginia
  • Orlando
  • Phoenix
  • Portland
  • Reno
  • San Francisco
  • Tampa

Expanding Our Footprint

At PureNodal, we're committed to delivering unparalleled cloud infrastructure solutions across the nation. Our ambitious roadmap outlines the deployment of 22 initial locations that will serve as the backbone of our platform.

We've hit the ground running with 2 locations currently live and 4 locations already in the deployment phase.

Keeping up the momentum, the next phase involves the rollout of an additional 16 locations.

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Innovative Cloud Architecture

PureNodal is transforming the digital infrastructure space with a decentralized platform, optimized for Artificial Intelligence and High-Performance Computing. Our unique architecture and agile deployment model outpace traditional and hyperscale data centers in speed of delivering AI and HPC capacity and achieving cost-efficiencies.

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