DATA DAVE

ADLC helps move AI from isolated pilots to business value. Technology alone cannot deliver scale. Organizations need reusable governance and a way of working that keeps people accountable for AI decisions. Source @nasscom via @antgrasso

Since GPUs accelerate AI on my computer, could I save money by buying a PC without a CPU? Not at all. The CPU still has its own job. A GPU accelerates calculations, but your PC needs a processor to keep the rest of the system working. No saving there. Microblog @antgrasso An AI application needs more than the calculations accelerated by a GPU. On a typical PC, the CPU runs the operating system and application logic. It also prepares data and coordinates work sent to the accelerator. Meanwhile, the GPU handles suitable calculations in parallel, which is why it can make many AI workloads faster. But the CPU can perform AI computations directly, too. For some models, inference may run entirely on the CPU. Whether that is practical depends on the workload and available hardware, not on a rule that every AI task needs a GPU. An accelerator can make a system faster without replacing the processor that coordinates it. #AIInfrastructure #CPU

A hospital and a factory may rely on similar connectivity, but they will measure its value through very different results. Technology providers should consider that when designing solutions for each industry.