ecs.ebmgn9ge.64xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmgn9ge.64xlarge |
Description | ecs.ebmgn9ge family (256 vCPUs, 2304 GiB RAM, 0 GB storage) |
Family | ecs.ebmgn9ge |
Hw Virt | - |
Status | active |
Observed At | 2026-07-25T22:25:03.008399 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 256 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 256 |
CPU Speed | 3.3 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
CPU Family | EPYC |
CPU Model | 9A75 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 2 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 72 GiB |
GPU Memory Total | 576 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Blackwell |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 380 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density GPU-accelerated platform featuring eight Blackwell GPUs and massive system memory for parallel computing and artificial intelligence workloads.
Alibaba Cloud ecs.ebmgn9ge.64xlarge is a high-density, GPU-accelerated server designed for intensive computational workloads. It features 256 dedicated physical cores powered by AMD EPYC 9A75 processors operating at 3.3 GHz on the x86_64 architecture, with one thread per core. The instance is equipped with 2304.0 GB of system memory and eight NVIDIA Blackwell GPUs providing a total of 576 GB of VRAM. Network connectivity is supported by a baseline bandwidth of 380 Gbps. A key architectural tradeoff is the complete lack of local storage, requiring external network-attached storage solutions. This hardware profile is optimized for large-scale artificial intelligence training, deep learning inference, and high-performance computing workloads.
Economics
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