The economics of CPU-based AI aren't great

Google's tests of Intel's 4th-Gen Xeon CPUs for AI workloads show promise. Using advanced matrix extensions, they achieved acceptable latencies for large language models. A 176 vCPU C3 VM reached 55ms per token for a 7B parameter model. While CPUs can run AI models, they're generally less cost-effective than GPUs for extended use. However, CPUs offer flexibility for businesses with existing hardware or uncertain AI needs.