ct3p-hightpu-4t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 700095 |
Name | ct3p-hightpu-4t |
Description | 48 vCPUs, 340 GB RAM, 1 vNUMA nodes |
Family | ct3p |
Hw Virt | - |
Status | active |
Observed At | 2026-07-21T02:08:11.775668 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 48 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 340 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Total | 0 MiB |
GPU Model | ct3p |
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 host featuring four specialized processors and dedicated memory for high-throughput machine learning and parallel computing workloads.
Google Cloud Platform ct3p-hightpu-4t is an accelerator-optimized server designed for specialized machine learning and parallel computing workloads. It features 48 dedicated x86_64 vCPUs, 340.0 GB of RAM (7.08 GB per core), and a single vNUMA node configuration. The server is equipped with four ct3p accelerators to handle intensive parallel processing tasks. Notably, the instance lacks local storage and does not include complimentary public IPv4 addresses. Technical tradeoffs include the absence of standard CPU instruction extensions such as AVX, AMX, and hardware cryptography flags, meaning computational tasks must rely heavily on the integrated accelerators rather than the host CPU. This resource profile is highly optimized for TPU-driven model training, deep learning inference, and data pipeline processing where local storage is not a primary requirement.
Economics
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