ct3-hightpu-4t by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 700094 |
Name | ct3-hightpu-4t |
Description | 96 vCPUs, 340 GB RAM, 2 vNUMA nodes |
Family | ct3 |
Hw Virt | - |
Status | active |
Observed At | 2026-07-26T09:14:41.619322 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 96 |
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 | ct3 |
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 ninety-six dedicated cores and four integrated hardware accelerators for highly parallelized compute and machine learning workloads.
Google Cloud Platform ct3-hightpu-4t is a specialized accelerator-optimized server featuring 96 dedicated x86_64 vCPUs and 340.0 GB of system memory distributed across 2 vNUMA nodes. The hardware configuration is distinguished by the integration of four ct3 accelerators, providing substantial parallel processing power for compute-intensive operations. This instance does not include local storage, meaning all data persistence relies on network-attached storage. With approximately 3.54 GB of RAM per core and no complimentary public IPv4 addresses, the resource profile is tailored for high-density compute tasks. The ct3-hightpu-4t is designed for workloads such as machine learning training, large-scale data science computations, and parallelized simulation tasks that directly benefit from dedicated accelerator hardware.
Economics
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