ct5l-hightpu-4t by Google Cloud Platform
(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 | 2026-06-27T03:39:56.926799 |
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 Total | 0 MiB |
GPU Model | ct5l |
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 dedicated vCPUs and four integrated TPUs designed for high-throughput machine learning and parallel computing tasks.
Google Cloud Platform ct5l-hightpu-4t is a specialized accelerator-optimized server configured with 112 dedicated x86_64 vCPUs, 192.0 GB of system memory, and four integrated Google TPUs. This server features a low memory-to-core ratio of 1.71 GB per vCPU and does not include local storage or complimentary public IPv4 addresses. Architecturally, it is designed to offload heavy computational tasks to its four TPUs, making it highly efficient for machine learning workloads. The lack of local storage and modest host memory represent key tradeoffs, requiring external storage integration. Consequently, this instance is best suited for deep learning training, AI inference, and parallel computing workloads that directly utilize TPU acceleration rather than general-purpose or memory-heavy applications.
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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