Anbu Valluvan, AI Engineer at SQOR.ai, shared his perspective on TOPS as a metric and why HP ZGX Nano AI Station with NVIDIA GB10 Grace Blackwell technology offer a powerful way to transform high TOPS into usable AI performance. 

TOPS (Tera Operations Per Second) measures how many trillion operations a processor can execute each second, making it a popular shorthand for AI compute power. Higher TOPS generally means faster training and inference, especially for large models. However, TOPS reflects ideal peak performance, not always what workloads achieve in practice. Real results depend on factors like memory bandwidth, architecture efficiency, and sustained thermal performance.

The HP ZGX Nano AI Station will deliver ~1,000 TOPS in a desktop-friendly form factor—enough to run massive language models locally. Unified CPU-GPU memory and NVLink connectivity keep data flowing to the compute units, helping workloads achieve closer-to-peak performance. Energy-efficient Grace CPUs and robust cooling ensure these systems can sustain output without throttling.

Read the full article here. 

Visit the HP ZGX Nano AI Workstation webpage for more information.