(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 | 2026-10-23T18:18:26.217594 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Singapore (SG) / ap-southeast-1 | - | 9.856 USD/h |
Beijing (CN) / cn-beijing | 3.7243 USD/h | 10.641 USD/h |
Hangzhou (CN) / cn-hangzhou | 3.7243 USD/h | 10.641 USD/h |
Heyuan (CN) / cn-heyuan | - | 10.641 USD/h |
Shanghai (CN) / cn-shanghai | - | 10.641 USD/h |
Processor
vCPUs | 96 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8163 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 384 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 4 |
Accelerator Memory Min | 16 GiB |
Accelerator Memory Total | 64 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Model | T4 |
Accelerators |
| 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 dedicated multi-GPU server featuring ninety-six Intel Xeon cores and four NVIDIA T4 accelerators for parallelized enterprise workloads.
Alibaba Cloud ecs.ebmgn6i.24xlarge is a KVM-based, GPU-accelerated server instance designed for parallel computing workloads. It is equipped with 96 dedicated Intel Xeon 8163 vCPUs on the x86_64 architecture and 384.0 GB of system memory, yielding 4.0 GB of RAM per core. The hardware configuration features four bundled NVIDIA T4 GPUs with a combined 64 GB of VRAM to accelerate graphics and machine learning tasks. This instance does not include local storage, relying instead on network-attached storage solutions, and provides a baseline network bandwidth of 30 Gbps. The combination of high-density dedicated compute cores and multiple GPUs makes this server suitable for workloads such as machine learning inference, video transcoding, and parallel data processing.
Economics
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