tpu7x-standard-4t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741023 |
Name | tpu7x-standard-4t |
Description | 224 vCPUs, 992 GB RAM, 4 Google TPUs |
Family | tpu7x |
Hw Virt | - |
Status | active |
Observed At | 2026-07-25T15:08:06.563487 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 224 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 960 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Total | 0 MiB |
GPU Model | tpu7x |
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 high-core compute and four integrated TPUs for demanding machine learning and deep learning workloads.
Google Cloud Platform tpu7x-standard-4t is an accelerator-optimized server designed for high-performance machine learning and data science workloads. It features 224 dedicated x86_64 vCPUs, 960.0 GB of system memory, and four integrated Google tpu7x accelerators. With a memory-to-core ratio of 4.29 GB, the system provides substantial memory capacity to support the massive parallel processing capabilities of its dedicated TPUs. This instance does not include local storage, requiring network-attached storage solutions for data persistence, and offers zero complimentary public IPv4 addresses. The hardware configuration is optimized for deep learning training, large-scale AI inference, and complex mathematical modeling, offering a highly consolidated resource profile that minimizes cluster management overhead for demanding computational tasks.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| tpu7x-standard-1t | 56 | 240 GiB | 1 |
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