tpu7x-standard-1t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1741022 |
Name | tpu7x-standard-1t |
Description | 56 vCPUs, 248 GB RAM, 1 Google TPU |
Family | tpu7x |
Hw Virt | - |
Status | active |
Observed At | 2026-06-25T20:19:26.236997 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 56 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 240 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
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
A dedicated accelerator instance featuring fifty-six vCPUs and a specialized tensor processing unit for high-density machine learning workloads.
Google Cloud Platform tpu7x-standard-1t is a specialized GPU-accelerated server instance designed for machine learning and deep learning workloads. The system features 56 dedicated vCPUs on the x86_64 architecture, paired with 240.0 GB of system memory, which provides 4.29 GB of RAM per core. Acceleration is driven by a single integrated tpu7x Tensor Processing Unit. This instance does not include local storage, requiring network-attached storage for data persistence, and provides zero complimentary public IPv4 addresses. The hardware profile is qualitatively cost-efficient for high-density tensor computations, offloading heavy mathematical operations from the host CPU to the dedicated TPU. It is best suited for neural network training, machine learning inference, and complex data science pipelines.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| tpu7x-standard-4t | 224 | 960 GiB | 4 |
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