xFusion: Enterprise AI and Liquid-Cooled Data Centers

xFusion Unveils AI Innovations at ISC 2026

At ISC 2026, xFusion showcased a range of enterprise AI computing solutions, marking a significant advancement in the transfer of hardware from edge devices to data centers. Attendees at the Hamburg exhibition, primarily technology buyers, were in search of practical production frameworks. However, hardware selection processes often fail to account for operational physical limitations, and the use of public APIs exposes sensitive business data to risks.

To address these challenges, xFusion introduced a four-tier hardware portfolio. This deployment structure allows for a gradual increase in processing capacity, ranging from individual workstations to facility-level supernodes.

Personal Edge Workstations

Engineers and specialized staff require dedicated local resources to perform complex tasks such as 3D rendering and architectural simulation. Professional users process large datasets locally before transferring them to centralized computing clusters.

xFusion offers the edge computing node FusionXtation X3 8000 Gen2 as a foundational solution. These workstations are deployed for personnel needing local execution of models ranging from 70 billion to 200 billion parameters.

Hardware configurations include Intel Core Ultra processors paired with dual professional graphics processing units. Memory consists of DDR5 RAM with error correction, reaching up to 256 gigabytes, and internal storage of up to eight terabytes.

Production environments benefit from a 70% improvement in 8K rendering speed and a 50% increase in overall AI processing performance compared to previous hardware versions. IT administrators can remotely access systems via integrated motherboard management controllers. Four 40 gigabits per second Thunderbolt ports facilitate external data transfers.

Data Security for Work Teams

Uncontrolled data flows pose compliance risks for regulated institutions, and external applications can expose enterprise networks to malicious threats. Development teams must therefore create custom software securely to protect intellectual property.

To meet these needs, xFusion has designed the FusionXpark device. This platform enables engineering teams to adhere to regulatory standards from the application design phase. Teams working on medical imaging and financial modeling can process highly sensitive business data without resorting to external APIs.

Teams can combine two FusionXpark units to locally process models of 405 billion parameters in native CUDA environments. The system runs NVIDIA DGX OS out of the box, providing developers with immediate access to the necessary tools. Network administrators can securely redirect excess processing requests to DGX Cloud through native integrations.

Centralized Processing Infrastructure for Enterprises

High-volume enterprise functions consume processing capacity at unsustainable levels, and redundant context transmission can inflate operational budgets.

Operational departments require a reliable infrastructure to execute automated customer service routines and handle complex financial approvals. xFusion offers the TokenBox as a centralized processing solution. This unit provides enterprise-scale token generation capability from a single on-site installation.

Individual TokenBox nodes are capable of executing models with 1.6 trillion parameters. This deployment model avoids the investment costs associated with building dedicated server rooms.

Data center-quality liquid cooling mechanisms maintain noise levels at 35 decibels during active computations, allowing these units to be placed directly in normal office environments. Pre-installed software and built-in expertise reduce setup times, thereby accelerating return on investment.

Advances in Liquid-Cooled Data Centers

Expanding computing capabilities across multinational enterprise networks requires advanced thermal infrastructure. The latest deployment tier focuses on liquid-cooled racks and supernodes.

High-density infrastructures manage up to 240 kilowatts per cabinet. Hardware designs directly convert electrical input into floating-point operations per second. Internally developed low-loss core components help reduce operational expenses per module by 15%.

Centralized enterprise clusters utilize dense rack-mounted hardware integrated into this supernode architecture. The inference server FusionServer G6550 V8 operates at this level, housing up to ten double-width graphics processing units.

The liquid-cooled computing platform FusionPoD manages thermal dissipation for these racks, achieving a partial energy usage efficiency of 1.06. Liquid cooling loops extract heat using graphene pads and diamond cold plates, reaching conductivity levels of 1200 watts per meter-kelvin.

Processing hardware risks becoming blocked without a constant influx of data. The FusionOne DFS storage solution provides the necessary data architecture for these computing clusters. A cluster of three nodes using 72 NVMe drives achieves sequential read bandwidths of 200 gigabytes per second. The sets evolve to manage exabytes of total capacity while achieving 94.1% storage utilization through erasure coding.

Leaders looking to evaluate infrastructure deployment frameworks can directly access the technical specifications of the products.