(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 | 2026-10-24T02:21:42.273491 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 96 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 340 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 32 GiB |
Accelerator Memory Total | 128 GiB |
Accelerator Type | TPU |
Accelerator Manufacturer | Google |
Accelerator Family | TPU |
Accelerator Model | v3 |
Accelerators |
|
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A specialized accelerator instance featuring ninety-six dedicated cores and four integrated tensor processing units for demanding machine learning workloads.
Google Cloud Platform ct3-hightpu-4t is a specialized, GPU-accelerated server instance designed for high-throughput machine learning workloads. It features 96 dedicated x86_64 vCPUs and 340.0 GB of system memory distributed across 2 vNUMA nodes, yielding approximately 3.54 GB of RAM per core. The instance is equipped with four Google TPU v3 accelerators providing a total of 128 GB of VRAM, making it highly optimized for tensor processing, deep learning model training, and large-scale inference. No local storage is bundled with this instance, and it includes zero complimentary public IPv4 addresses. This hardware profile makes the ct3-hightpu-4t highly cost-efficient for specialized machine learning and data science workloads that require dedicated TPU acceleration rather than general-purpose compute resources.
Economics
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