CPUs and GPUs have powered decades of computing from desktop applications to large-scale enterprise systems

CPUs are optimised for sequential tasks, ideal for logic-heavy operations and operating systems. GPUs, with thousands of smaller cores, are better at handling parallel operations like rendering and machine learning inference

However, both have limits

Modern AI workloads require massive parallelism and scalability that centralised infrastructure often struggles to provide due to cost, energy demands, and hardware limitations

This is where distributed computing enters

By aggregating underutilised compute, from gaming GPUs to idle enterprise resources, distributed systems offer a scalable, cost-effective, and energy-aware alternative to traditional cloud computing

It’s not just more compute, it’s smarter, decentralised, and future-proof

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