ecs.ebmgn7i.32xlarge by Alibaba Cloud
(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 | 2026-09-09T10:11:16.934434 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Beijing (CN) / cn-beijing | - | 8.2404 USD/h |
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 128 |
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 bare-metal computing platform featuring dedicated physical cores and quad graphics accelerators for parallelized enterprise workloads.
Alibaba Cloud ecs.ebmgn7i.32xlarge is a bare-metal, GPU-accelerated server instance designed for high-performance computing and parallel processing workloads. It features 128 dedicated x86_64 physical cores with a single thread per core, paired with 768.0 GB of system memory. Acceleration is driven by four NVIDIA A10 GPUs providing a total of 96 GB of VRAM. The instance operates with a baseline network bandwidth of 64 Gbps and does not include local storage, relying instead on network-attached storage. This hardware profile makes the instance highly suitable for deep learning inference, 3D rendering, video processing, and scientific simulations where dedicated CPU resources and GPU acceleration are critical.
Economics
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