Technology

Google deploys new Axion CPUs and seventh-gen Ironwood TPU — training and inferencing pods beat Nvidia GB300 and shape 'AI Hypercomputer' model

Source

Tom's Hardware

Published

Nov 6, 2025

TL;DR

AI Generated

Google Cloud has unveiled new AI-focused instances powered by its Axion CPUs and seventh-gen Ironwood TPUs, designed for training and low-latency inference of large-scale AI models. The Ironwood pods can scale up to 9,216 AI accelerators, surpassing Nvidia's capabilities with 42.5 FP8 ExaFLOPS for training and inference. These pods can be clustered into Google's AI Hypercomputer, integrating compute, storage, and networking for enhanced efficiency. Google also introduced its Axion CPUs, offering up to 50% greater performance and 60% higher energy efficiency compared to modern x86 CPUs, along with other configurations like C4A, N4A, and C4A Metal for various workloads.

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Dr. L.C. Lu on TSMC Advanced Technology Design Solutions

Dr. L.C. Lu, a key figure at TSMC, focuses on design-technology co-optimization, packaging innovations, and AI-driven methodologies for next-gen semiconductor systems. TSMC emphasizes DTCO and DDCL innovations for scaling from N5 to A14 nodes, with NanoFlex and NanoFlex Pro architectures offering efficiency gains. N2P and N2U nodes incorporate advanced DTCO and power delivery optimizations, with hybrid dual-rail architectures achieving significant energy savings. TSMC collaborates with EDA partners for AI integration, enhancing productivity and design quality. Advanced packaging technologies like CoWoS and SoIC play a crucial role in enabling AI scaling, with memory bandwidth and interconnect performance scaling aggressively. TSMC addresses power delivery and thermal management challenges in AI systems through advanced solutions. TSMC's advancements in design methodologies and AI-driven automation promise improved productivity and scalability in chip-package co-design.

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