ecs.ebmgn9gc.64xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmgn9gc.64xlarge |
Description | ecs.ebmgn9gc family (256 vCPUs, 1536 GiB RAM, 0 GB storage) |
Family | ecs.ebmgn9gc |
Hw Virt | - |
Status | inactive |
Observed At | 2026-07-25T14:37:56.274856 |
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 256 dedicated AMD EPYC cores for massive parallel computing workloads.
Alibaba Cloud ecs.ebmgn9gc.64xlarge is a high-performance bare-metal server designed for GPU-accelerated workloads. Built on the x86_64 architecture, it features 256 dedicated AMD EPYC 9A75 physical cores operating at 3.3 GHz, paired with 1536.0 GB of system memory. The instance is equipped with eight NVIDIA Blackwell GPUs providing a total of 576 GB of VRAM, making it highly suitable for large-scale machine learning, deep learning training, and complex data science computations. It does not include local storage, relying instead on network-attached storage supported by a baseline network bandwidth of 380 Gbps. This high-throughput network interface ensures efficient data transfer for distributed computing environments. The server represents a dense, specialized hardware profile optimized for parallel processing and massive computational tasks.
Economics
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