(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741014 |
Name | ct6e-standard-1t |
Description | 44 vCPUs, 176 GB RAM, 1 Google V6 lite TPUs |
Family | ct6e |
Hw Virt | - |
Status | active |
Observed At | 2026-10-23T22:06:25.427313 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.243 USD/h | 2.7 USD/h |
Council Bluffs (US) / us-central1 | 0.5546 USD/h | 2.7 USD/h |
The Dalles (US) / us-west1 | 0.5546 USD/h | 2.7 USD/h |
Moncks Corner (US) / us-east1 | 0.5546 USD/h | 2.7 USD/h |
Dallas (US) / us-south1 | 0.6254 USD/h | 2.7 USD/h |
Santiago (CL) / southamerica-west1 | 1.08 USD/h | 2.7 USD/h |
Columbus (US) / us-east5 | 1.62 USD/h | 2.7 USD/h |
Jurong West (SG) / asia-southeast1 | 0.2673 USD/h | 2.97 USD/h |
Eemshaven (NL) / europe-west4 | 1.782 USD/h | 2.97 USD/h |
Mumbai (IN) / asia-south1 | 1.4911 USD/h | 3.24 USD/h |
Tokyo (JP) / asia-northeast1 | 1.5147 USD/h | 3.24 USD/h |
Processor
vCPUs | 44 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 176 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 1 |
Accelerator Memory Min | 32 GiB |
Accelerator Memory Total | 32 GiB |
Accelerator Type | TPU |
Accelerator Manufacturer | Google |
Accelerator Family | TPU |
Accelerator Model | v6e |
Accelerators |
|
| 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 dedicated host compute resources and a Google TPU v6e for machine learning workloads.
Google Cloud Platform ct6e-standard-1t is an accelerator-optimized server instance designed for machine learning workloads. Built on the x86_64 architecture, it features 44 dedicated vCPUs and 176 GB of system memory, providing a balanced 4.0 GB of RAM per core. The instance is equipped with a single Google TPU v6e accelerator featuring 32 GB of dedicated VRAM, making it highly suitable for machine learning inference and training tasks. It does not include local storage, relying entirely on network-attached storage options, and contains zero complimentary public IPv4 addresses. This configuration offers a specialized balance of host compute resources and dedicated TPU acceleration, making it a cost-efficient choice for data science pipelines, AI model execution, and deep learning workloads that do not require high-speed local physical storage.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ct6e-standard-4t | 180 | 720 GiB | 4 |
| ct6e-standard-8t | 360 | 1440 GiB | 8 |
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