Why GPUs
Graphics Processing Units (GPUs) are specialised processors designed to handle massive parallel computations. Unlike traditional CPUs, which process tasks sequentially, GPUs contain thousands of cores that can execute operations simultaneously making them essential for AI workloads.
AI inference speed with NVIDIA’s A100 GPU is up to 237 times faster than with traditional CPUs. This isn’t incremental improvement it’s a categorical shift in what’s computationally possible.
As conventional CPU processing approaches the physical limits of silicon (the end of Moore’s Law), GPUs have become the primary processor for AI workloads. In 2025, GPUs accounted for nearly 89% of AI accelerator spending. There is no viable alternative at scale.
What We Deploy
InfraHub Compute’s servers are assembled from the highest-grade components available in the enterprise hardware market:
GPUs: NVIDIA enterprise-grade accelerators (the gold standard for AI compute)
CPUs: AMD server processors
Memory: Samsung high-bandwidth and high-capacity memory modules
Storage: Kioxia enterprise NVMe storage
Servers: Supermicro server platforms, designed for GPU-dense workloads
InfraHub Compute’s servers are assembled from the highest-grade components available in the enterprise hardware market:
Data Centre Infrastructure
Our hardware is deployed into strategic data centres with the following characteristics:
100% renewable energy powered
Advanced cooling systems designed for GPU-dense environments
Enterprise-grade networking and storage infrastructure
24/7 on-site and remote engineering support via NexGen Cloud
European-based locations for data sovereignty compliance
Redundant power and network connectivity
Performance Transparency
Infrahub Compute provides real time visibility into:
Node status (online/offline/maintenance)
Revenue generated per node, per month
Lifetime performance metrics
Occupancy and utilisation rates
Maintenance history and scheduled interventions
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