a4x-maxgpu-4g-metal by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1724003 |
Name | a4x-maxgpu-4g-metal |
Description | Accelerator Optimized: 4 NVIDIA GB300 GPU, 144 vCPUs, 960GB RAM |
Family | a4x |
Hw Virt | - |
Status | active |
Observed At | 2026-08-16T13:17:41.341591 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 144 |
CPU Allocation | Dedicated |
CPU Architecture | arm64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 960 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Total | 0 MiB |
GPU Model | nvidia-gb300 |
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 bare-metal platform featuring four integrated GPUs and a high-core-count ARM processor for intensive parallel computing.
Google Cloud Platform a4x-maxgpu-4g-metal is an accelerator-optimized bare-metal server designed for intensive parallel computing. It features 144 dedicated arm64 vCPUs and 960.0 GB of system memory, yielding 6.67 GB of RAM per core. The primary computational power is delivered by four integrated NVIDIA GB300 GPUs. Tradeoffs of this configuration include the complete absence of local storage and zero complimentary public IPv4 addresses, necessitating network-attached storage and external routing solutions. Lacking x86-specific vector extensions, the arm64 architecture requires compatible software builds. This server is engineered for workloads such as large-scale machine learning model training, deep learning inference, high-performance computing, and complex data science pipelines requiring dense GPU acceleration and high-capacity dedicated host memory.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| a4x-highgpu-4g | 140 | 884 GiB | 4 |
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