(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 | 2026-09-24T08:50:22.333436Z |
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 Min | 192 GiB |
GPU Memory Total | 192 GiB |
GPU Manufacturer | Google |
GPU Family | TPU |
GPU Model | v7x |
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 a Google TPU v7x with 192 GB VRAM for demanding machine learning and deep learning workloads.
Google Cloud Platform tpu7x-standard-1t is an accelerator-optimized server designed for machine learning and deep learning workloads. It features 56 dedicated vCPUs on an x86_64 architecture, 240.0 GB of system memory, and a single Google TPU v7x accelerator with 192 GB of VRAM. The instance does not include local storage, requiring external storage solutions, and offers zero complimentary public IPv4 addresses. This hardware profile delivers high resource density for tensor-based computations, making it highly cost-efficient for specialized AI workloads compared to general-purpose instances. It is best suited for neural network training, large-scale machine learning inference, and 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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