GPU-as-a-Service: The network's critical role in accelerated computing
The explosion of AI has created a continuous demand for computing power. At the heart of this need sits one critical resource: GPUs. They have become the hardware of choice for AI and machine learning, particularly deep learning workloads that operate on enormous data sets. However, as organisations race to train larger models and deliver faster inference, many are discovering that owning and operating GPU infrastructure isn’t always practical.
