ct6e-standard-8t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741017 |
Name | ct6e-standard-8t |
Description | 360 vCPUs, 1440 GB RAM, 8 Google V6 lite TPUs |
Family | ct6e |
Hw Virt | - |
Status | active |
Observed At | 2026-07-26T01:22:09.880759 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 360 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 1 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Total | 0 MiB |
GPU Model | ct6e |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An accelerator-optimized instance featuring 360 dedicated vCPUs, 1440 GB RAM, and eight integrated TPUs for large-scale machine learning workloads.
Google Cloud Platform ct6e-standard-8t is an accelerator-optimized server instance designed for large-scale machine learning and parallel computing. Built on the x86_64 architecture, it features 360 dedicated vCPUs and 1440.0 GB of system memory, maintaining a ratio of 4.0 GB of RAM per core. The instance is equipped with 8 Google V6 lite TPUs (ct6e accelerators) to accelerate tensor-based computations. It does not include local storage or complimentary public IPv4 addresses, relying instead on network-attached storage. This hardware profile is optimized for workloads such as deep learning model training, high-throughput neural network inference, and large-scale data science pipelines.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct6e-standard-1t | 44 | 176 GiB | 1 |
| ct6e-standard-4t | 180 | 720 GiB | 4 |
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