ct6e-standard-4t by Google Cloud Platform

An accelerated computing instance featuring one hundred and eighty dedicated vCPUs and four integrated TPUs for parallelized machine learning workloads.

Google Cloud Platform ct6e-standard-4t is an x86_64 architecture server equipped with 180 dedicated vCPUs, 720 GB of RAM, and four integrated Google V6 lite TPUs. With a memory-to-core ratio of 4.0 GB per vCPU, this instance is designed for highly parallelized machine learning and accelerated computing tasks. It features no local storage, requiring network-attached storage solutions for data persistence, and provides zero complimentary public IPv4 addresses. The dedicated CPU allocation ensures consistent processing performance, while the absence of local storage represents a key architectural tradeoff. The hardware profile is optimized for tensor processing and large-scale compute workloads, making it highly suitable for machine learning inference, model training, and data pipeline acceleration where specialized TPU hardware can be fully leveraged.