ct5p-hightpu-4t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741005 |
Name | ct5p-hightpu-4t |
Description | 208 vCPUs, 448 GB RAM, 4 Google TPUs |
Family | ct5p |
Hw Virt | - |
Status | active |
Observed At | 2026-07-26T09:14:41.619526 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 208 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 448 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Total | 0 MiB |
GPU Model | ct5p |
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 two hundred eight dedicated cores and four integrated tensor processing units for machine learning workloads.
Google Cloud Platform ct5p-hightpu-4t is an accelerator-optimized server instance designed for high-throughput parallel computing. Built on the x86_64 architecture, it features 208 dedicated vCPUs and 448.0 GB of system memory, providing a resource density of 2.15 GB of RAM per core. The primary hardware feature is the inclusion of four integrated Google ct5p TPUs, which are specialized application-specific integrated circuits designed to accelerate machine learning workloads. The instance does not include local storage or complimentary public IPv4 addresses, requiring external network-attached storage solutions. This hardware profile is highly cost-efficient for specialized parallel processing tasks compared to general-purpose compute resources. It is optimally suited for deep learning model training, large-scale neural network inference, and advanced data science workloads that directly utilize TPU acceleration.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct5p-hightpu-1t | 52 | 112 GiB | 1 |
| ct5p-hightpu-2t | 104 | 224 GiB | 2 |
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