Data is no longer something stored and forgotten. Today, it moves, learns, and reacts in real time. Artificial intelligence, automation, and connected devices depend on instant access to information, and that’s reshaping how infrastructure is built.
The challenge for modern enterprises and telcos is to process and store vast amounts of data close to where it’s created while keeping ownership and costs under control. That’s where scalable, high-density systems like Novoblade™ and Novofabric™ redefine what’s possible. Novodisq™ systems excel in delivering petabyte-scale capacity, embedded compute, and ultra-low power use in compact, modular systems.
Why the Edge Matters More Than Ever
Cloud infrastructure was built for centralised workloads, but the new frontier is distributed. Autonomous vehicles, smart cities, remote health monitoring, and AI-driven video analytics all depend on edge computing. Data generated in these environments can’t always wait for round trips to a distant cloud, it needs to be processed locally, fast, and securely.
This shift has exposed a gap in traditional architecture. Conventional servers can’t scale down efficiently, while edge devices often lack the storage or compute power needed for AI workloads. Novodisq bridges that gap with hardware that scales seamlessly from the data centre core to the network edge.
The Power of Petabyte-Scale Design
Novoblade™ forms the foundation of our high-density, low-power infrastructure. Each 2U enclosure can house up to 20 Novoblade modules, scaling to over 11.5 petabytes of flash storage. That’s enough capacity to host massive AI training datasets, full enterprise archives, or years of continuous video analytics, all within a single compact rack.
By combining storage and compute in one system, Novoblade eliminates the need for separate servers and arrays. Data doesn’t have to move across multiple layers of hardware; it’s processed directly where it lives. This compute-in-storage architecture not only increases speed but also reduces latency, power use, and cooling requirements.
Smarter Data Fabrics for Real-Time Processing
At the heart of this architecture is Novofabric™, a reconfigurable backplane that intelligently routes data between blades, workloads, and external systems. It supports Ethernet, CXL, and InfiniBand fabrics simultaneously, creating a unified high-speed network across all modules.
Each Novofabric unit can be dynamically reconfigured to support new protocols or workloads over a 10+ year lifecycle. It also provides hardware offloading for encryption, packet inspection, and data transformation, freeing CPU resources for critical AI and analytics tasks.
This flexibility allows organisations to run real-time AI data extraction, inline video analysis, and low-latency inference on the same system, without relying on cloud-based processing.
From Data Centres to Roadside Cabinets
Not every deployment needs exabyte-scale storage. Many applications, such as smart transport, industrial monitoring, or telecom coordination, happen at the network edge. That’s where Novolink™ and Novopod™ extend Novoblade’s architecture into smaller, power-aware systems.
- Novolink™ brings carrier-grade infrastructure to telco and industrial sites, with up to 768TB of dense flash storage and built-in AI/ML acceleration.
- Novopod™ delivers the same capability in a rugged, mast-mountable node for outdoor or maritime environments. It enables AI inference at the edge, supporting smart infrastructure, IoT gateways, and wireless analytics in real time.
Each system shares the same DNA which includes ARM64 processing, adaptive FPGA compute, and efficient design, meaning you can deploy a consistent architecture from core to edge with unified management and software support.
Scaling Intelligence Without Scaling Cost
Processing data closer to its source reduces network strain and cloud dependency, but it also improves economics. Every byte not transferred to the cloud saves energy, bandwidth, and time. Novodisq systems extend this advantage through unmatched energy efficiency, consuming up to 95% less power than traditional servers and cutting TCO by as much as 80%.
For CFOs and CTOs, that means real savings and sustainability gains without losing scalability. Whether deployed as a sovereign data lake, a local AI cluster, or a distributed edge network, Novodisq infrastructure delivers predictable cost, performance, and control at every layer.
Intelligent Infrastructure for a Connected World
AI and machine learning workloads are evolving fast, but so are the systems that support them. The future belongs to adaptive, composable infrastructure, systems that can scale fluidly from petabytes in the data centre to terabytes at the edge.
Novodisq was built for this future. Our architecture unites storage, compute, and networking into one intelligent platform, capable of powering everything from national data lakes to smart city nodes. Real-time intelligence is no longer limited by distance, energy, or cost. With Novodisq, it’s built into the hardware.
