(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1740002 |
Name | ct5l-hightpu-4t |
Description | 112 vCPUs, 192 GB RAM, 4 Google TPUs |
Family | ct5l |
Hw Virt | - |
Status | active |
Observed At | 2026-09-24T08:50:22.322264Z |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 112 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 64 GiB |
GPU Manufacturer | Google |
GPU Family | TPU |
GPU Model | v5e |
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 server featuring 112 dedicated vCPUs and 4 Google TPU v5e processors for demanding machine learning workloads.
Google Cloud Platform ct5l-hightpu-4t is an accelerator-optimized server designed for machine learning workloads. Built on an x86_64 architecture, it features 112 dedicated vCPUs and 192 GB of system memory, providing 1.71 GB of RAM per core. The server is equipped with 4 Google TPU v5e accelerators, delivering a total of 64 GB of VRAM. It does not include local storage or complimentary public IPv4 addresses, requiring network-attached storage for data persistence. This hardware configuration is highly specialized, offering a cost-efficient platform for distributed machine learning training, neural network inference, and large-scale data science tasks where TPU acceleration is critical.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct5l-hightpu-1t | 24 | 48 GiB | 1 |
| ct5l-hightpu-8t | 224 | 384 GiB | 8 |
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