ecs.ebmg7.32xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmg7.32xlarge |
Description | ecs.ebmg7 family (128 vCPUs, 512 GiB RAM, 0 GB storage) |
Family | ecs.ebmg7 |
Hw Virt | - |
Status | active |
Observed At | 2026-10-22T17:39:01.796177 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Shenzhen (CN) / cn-shenzhen | - | 5.1831 USD/h |
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Speed | 2.9 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8369B |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 512 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 0 |
Accelerator Memory Min | 0 MiB |
Accelerator Memory Total | 0 MiB |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 64 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
High-density general-purpose computing instance featuring 128 dedicated Intel Xeon vCPUs, 512 GB RAM, and 64 Gbps baseline network bandwidth capabilities.
Alibaba Cloud ecs.ebmg7.32xlarge is a general-purpose server instance powered by an Intel Xeon 8369B processor operating at 2.9 GHz on x86_64 architecture. The server features 128 dedicated vCPUs paired with 512 GB of system RAM, maintaining a balanced ratio of 4 GB memory per core. Operating on a KVM hypervisor, it delivers a baseline network throughput of 64 Gbps. The instance contains no integrated local storage or dedicated graphics processing units, necessitating reliance on network-attached block storage for persistent data requirements. Qualitatively, the hardware setup offers high core density and broad network throughput, optimizing compute efficiency for large-scale enterprise deployments. The instance is well suited for large web-serving clusters, container orchestration, distributed application tiers, CI/CD systems, and data processing tasks requiring high network bandwidth and execution parallelization across standard x86 architectures.
Economics
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