ecs.ebmgn6i.24xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmgn6i.24xlarge |
Description | ecs.ebmgn6i family (96 vCPUs, 384 GiB RAM, 0 GB storage, 4xT4 16384 GiB VRAM) |
Family | ecs.ebmgn6i |
Hw Virt | - |
Status | active |
Observed At | 2026-09-08T11:29:59.233500 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Singapore (SG) / ap-southeast-1 | 3.4496 USD/h | 9.856 USD/h |
Heyuan (CN) / cn-heyuan | 3.7243 USD/h | 10.641 USD/h |
Beijing (CN) / cn-beijing | - | 10.641 USD/h |
Hangzhou (CN) / cn-hangzhou | - | 10.641 USD/h |
Shanghai (CN) / cn-shanghai | - | 10.641 USD/h |
Processor
vCPUs | 96 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 96 |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8163 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 16 GiB |
GPU Memory Total | 64 GiB |
GPU Model | T4 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 30 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A bare-metal server featuring ninety-six dedicated cores and quad graphics accelerators for parallel computing and machine learning inference.
Alibaba Cloud ecs.ebmgn6i.24xlarge is a high-performance, bare-metal GPU-accelerated server designed for parallel computing and machine learning workloads. Powered by an Intel Xeon 8163 processor, it features 96 dedicated physical cores and 96 vCPUs on the x86_64 architecture, paired with 384.0 GB of system memory. The instance integrates four NVIDIA T4 GPUs providing a total of 64 GB of VRAM, making it highly suitable for multi-GPU acceleration tasks. It features a baseline network bandwidth of 30 Gbps but contains no local storage, requiring network-attached storage solutions. This server is optimized for workloads such as AI inference, video transcoding, and distributed high-performance computing where dedicated CPU resources and GPU acceleration are critical.
Economics
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