a4-highgpu-8g by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1723001 |
Name | a4-highgpu-8g |
Description | Accelerator Optimized: 8 NVIDIA B200 GPU, 224 vCPUs, 3968GB RAM |
Family | a4 |
Hw Virt | - |
Status | active |
Observed At | 2026-07-25T15:08:06.563229 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 224 |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 4 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Total | 0 MiB |
GPU Model | B200 |
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 infrastructure featuring eight NVIDIA B200 GPUs and massive memory for high-performance AI training and parallel computing.
Google Cloud Platform a4-highgpu-8g is an accelerator-optimized server designed for high-end parallel computing workloads. Built on the x86_64 architecture, it features 224 dedicated vCPUs and a massive 3968 GB of system memory, providing approximately 17.71 GB of RAM per core. The primary performance driver is its integration of eight NVIDIA B200 GPUs, making it highly capable for intensive computational tasks. This instance does not include local storage, requiring external storage solutions. Given its dense hardware profile, it offers high qualitative cost efficiency for resource-intensive operations by consolidating massive compute and memory resources into a single node. It is engineered specifically for large-scale artificial intelligence training, large language model inference, and complex data science workloads.
Economics
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