ct5l-hightpu-8t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1740003 |
Name | ct5l-hightpu-8t |
Description | 224 vCPUs, 384 GB RAM, 8 Google TPUs |
Family | ct5l |
Hw Virt | - |
Status | active |
Observed At | 2026-07-25T15:08:06.556598 |
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 | 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 configuration featuring dedicated compute cores and eight integrated TPUs for high-density machine learning and deep learning workloads.
Google Cloud Platform ct5l-hightpu-8t is a specialized, accelerator-optimized server configured with 224 dedicated x86_64 vCPUs and 384.0 GB of RAM. This configuration provides a memory-to-core ratio of 1.71 GB per vCPU. The primary hardware feature is the inclusion of 8 Google TPUs, which deliver dedicated acceleration for matrix-intensive computations. The server does not include local storage or complimentary public IPv4 addresses. Qualitatively, the hardware profile represents a high-density compute resource that trades off local storage and high per-core memory capacity to focus resources on accelerator-driven performance. This server is designed for machine learning training, large-scale deep learning inference, and TPU-accelerated data science workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ct5l-hightpu-1t | 24 | 48 GiB | 1 |
| ct5l-hightpu-4t | 112 | 192 GiB | 4 |
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