ct5l-hightpu-1t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1740001 |
Name | ct5l-hightpu-1t |
Description | 24 vCPUs, 48 GB RAM, 1 Google TPUs |
Family | ct5l |
Hw Virt | - |
Status | active |
Observed At | 2026-09-17T10:07:32.461484 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 24 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 48 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 16 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 instance featuring dedicated vCPUs and an integrated TPU for specialized machine learning and tensor computation workloads.
Google Cloud Platform ct5l-hightpu-1t is an accelerator-optimized server featuring 24 dedicated x86_64 vCPUs, 48 GB of system memory, and a single integrated Google TPU. With a memory-to-vCPU ratio of 2.0 GB per core, this instance is designed for compute-heavy workloads that offload processing to the hardware accelerator. The server does not include local storage or complimentary public IPv4 addresses, requiring external storage and networking configurations. The qualitative cost efficiency of this instance is centered on its specialized TPU hardware, which allows for accelerated tensor computations without the overhead of massive host memory. It is designed for machine learning inference, model training, and tensor-based mathematical workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct5l-hightpu-4t | 112 | 192 GiB | 4 |
| ct5l-hightpu-8t | 224 | 384 GiB | 8 |
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