(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmgn7i.32xlarge |
Description | ecs.ebmgn7i family (128 vCPUs, 768 GiB RAM, 0 GB storage, 4xA10 24576 GiB VRAM) |
Family | ecs.ebmgn7i |
Hw Virt | - |
Status | active |
Observed At | 2026-10-06T14:31:55.408205 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 768 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 24 GiB |
GPU Memory Total | 96 GiB |
GPU Model | A10 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 64 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A dedicated multi-GPU instance featuring one hundred twenty-eight vCPUs and ninety-six gigabytes of VRAM for parallel computing workloads.
Alibaba Cloud ecs.ebmgn7i.32xlarge is a high-density, GPU-accelerated server instance built on the x86_64 architecture using the KVM hypervisor. It features 128 dedicated vCPUs and 768.0 GB of system memory, providing 6.0 GB of RAM per core. Acceleration is delivered via four NVIDIA A10 GPUs with a combined 96 GB of VRAM. The instance lacks local storage, requiring network-attached storage solutions, but compensates with a baseline network bandwidth of 64 Gbps to ensure efficient data transfer. This hardware configuration is designed for demanding parallel processing tasks, making it suitable for machine learning inference, large-scale data science, and GPU-accelerated rendering workloads.
Economics
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