ct5lp-hightpu-8t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1740006 |
Name | ct5lp-hightpu-8t |
Description | 224 vCPUs, 384 GB RAM, 8 Google TPUs |
Family | ct5lp |
Hw Virt | - |
Status | active |
Observed At | 2026-07-27T15:33:48.804893 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 224 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Total | 0 MiB |
GPU Model | ct5lp |
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 eight integrated TPUs and two hundred twenty-four dedicated vCPUs for demanding machine learning workloads.
Google Cloud Platform ct5lp-hightpu-8t is a specialized, accelerator-optimized server instance designed for high-compute workloads. It features 224 dedicated vCPUs on the x86_64 architecture and 384 GB of system memory, resulting in a memory-to-core ratio of 1.71 GB per vCPU. The instance is equipped with eight bundled Google ct5lp TPUs to handle demanding machine learning tasks. There is no local storage included, requiring reliance on network-attached storage solutions, and the instance provides zero complimentary public IPv4 addresses. Qualitatively, the server offers high accelerator density, making it cost-efficient for specialized machine learning pipelines, though the low system memory per core and lack of local storage represent key architectural tradeoffs. It is best suited for deep learning training, large-scale AI inference, and TPU-accelerated compute workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct5lp-hightpu-1t | 24 | 48 GiB | 1 |
| ct5lp-hightpu-4t | 112 | 192 GiB | 4 |
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