(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.sgn8ia-m48.24xlarge |
Description | ecs.sgn8ia family (96 vCPUs, 384 GiB RAM, 0 GB storage) |
Family | ecs.sgn8ia |
Hw Virt | - |
Status | active |
Observed At | 2026-10-23T14:57:42.107697 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 96 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Speed | 3.4 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
CPU Family | EPYC |
CPU Model | 9T34 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 1 |
Accelerator Memory Min | 48 GiB |
Accelerator Memory Total | 48 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 32 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A GPU-accelerated server featuring dedicated AMD EPYC processors and NVIDIA Ada Lovelace architecture for compute-intensive parallel workloads.
Alibaba Cloud ecs.sgn8ia-m48.24xlarge is a KVM-based, GPU-accelerated server instance designed for compute-intensive workloads. It features 96 dedicated vCPUs powered by AMD EPYC 9T34 processors running at 3.4 GHz, paired with 384.0 GB of system memory. Graphics and parallel computing acceleration are provided by a single NVIDIA Ada Lovelace GPU equipped with 48 GB of VRAM. The instance does not include local storage, relying entirely on network-attached storage options, and delivers a baseline network bandwidth of 32 Gbps. With its high vCPU count and professional-grade GPU, this instance is optimized for workloads such as machine learning inference, data science, 3D rendering, and high-performance computing tasks that require dedicated CPU resources and substantial video memory.
Economics
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | Accelerators |
|---|---|---|---|
| ecs.sgn8ia-m2.xlarge | 4 | 16 GiB | 1 |
| ecs.sgn8ia-m4.2xlarge | 8 | 32 GiB | 1 |
| ecs.sgn8ia-m8.4xlarge | 16 | 64 GiB | 1 |
| ecs.sgn8ia-m24.12xlarge | 48 | 192 GiB | 1 |
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