(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 | 2026-11-09T21:20:38.102939 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 4.1154 USD/h | 12 USD/h |
Moncks Corner (US) / us-east1 | 4.1154 USD/h | 12 USD/h |
Columbus (US) / us-east5 | 5.28 USD/h | 12 USD/h |
London (GB) / europe-west2 | 5.016 USD/h | 13.2 USD/h |
Processor
vCPUs | 56 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 240 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 1 |
Accelerator Memory Min | 192 GiB |
Accelerator Memory Total | 192 GiB |
Accelerator Type | TPU |
Accelerator Manufacturer | Google |
Accelerator Family | TPU |
Accelerator Model | v7x |
Accelerators |
|
| 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 and 56 dedicated vCPUs for machine learning workloads.
Google Cloud Platform tpu7x-standard-1t is an accelerator-optimized server configured with 56 dedicated x86_64 vCPUs and 240.0 GB of system memory. Designed for specialized machine learning tasks, the instance features a single Google TPU v7x accelerator equipped with 192 GB of VRAM. It does not include local storage, requiring network-attached storage solutions, and offers zero complimentary public IPv4 addresses. While benchmark data is currently unavailable for this instance, its hardware profile is optimized for high-density tensor computations. The qualitative cost efficiency of this server lies in its high VRAM-to-accelerator ratio, which supports large model architectures. The tpu7x-standard-1t is best suited for deep learning model training, large language model fine-tuning, and high-throughput neural network inference workloads.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| tpu7x-standard-4t | 224 | 960 GiB | 4 |
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