(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741015 |
Name | ct6e-standard-4t |
Description | 180 vCPUs, 720 GB RAM, 4 Google V6 lite TPUs |
Family | ct6e |
Hw Virt | - |
Status | active |
Observed At | 2026-10-23T22:06:25.427340 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.972 USD/h | 10.8 USD/h |
Council Bluffs (US) / us-central1 | 2.2186 USD/h | 10.8 USD/h |
The Dalles (US) / us-west1 | 2.2186 USD/h | 10.8 USD/h |
Moncks Corner (US) / us-east1 | 2.2186 USD/h | 10.8 USD/h |
Dallas (US) / us-south1 | 2.5018 USD/h | 10.8 USD/h |
Santiago (CL) / southamerica-west1 | 4.32 USD/h | 10.8 USD/h |
Columbus (US) / us-east5 | 6.48 USD/h | 10.8 USD/h |
Jurong West (SG) / asia-southeast1 | 1.0692 USD/h | 11.88 USD/h |
Eemshaven (NL) / europe-west4 | 7.128 USD/h | 11.88 USD/h |
Mumbai (IN) / asia-south1 | 5.9645 USD/h | 12.96 USD/h |
Tokyo (JP) / asia-northeast1 | 6.0587 USD/h | 12.96 USD/h |
Processor
vCPUs | 180 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 720 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 32 GiB |
Accelerator Memory Total | 128 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 platform featuring dedicated x86_64 processors and four integrated TPUs for high-density machine learning workloads.
Google Cloud Platform ct6e-standard-4t is an accelerator-optimized server designed for machine learning workloads. It features 180 dedicated x86_64 vCPUs, 720.0 GB of system memory, and four integrated Google TPU v6e accelerators with a total of 128 GB of VRAM. The instance does not include local storage, requiring network-attached storage solutions. With a balanced memory-to-core ratio of 4.0 GB per vCPU, this server is engineered for high-density compute tasks. The integration of specialized TPU hardware makes it highly efficient for deep learning workloads, including model training and large-scale inference, while avoiding the cost overhead of general-purpose GPU configurations.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ct6e-standard-1t | 44 | 176 GiB | 1 |
| ct6e-standard-8t | 360 | 1440 GiB | 8 |
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