(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.ebmgn8te.32xlarge |
Description | ecs.ebmgn8te family (128 vCPUs, 1024 GiB RAM, 0 GB storage) |
Family | ecs.ebmgn8te |
Hw Virt | - |
Status | active |
Observed At | 2026-10-24T00:57:06.659076 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 128 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Speed | 3.3 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 6462C |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 1 TB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 8 |
Accelerator Memory Min | 48 GiB |
Accelerator Memory Total | 384 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerators |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 170 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
A high-density GPU accelerated bare-metal instance featuring eight Ada Lovelace GPUs and dedicated Intel Xeon processors for enterprise AI workloads.
Alibaba Cloud ecs.ebmgn8te.32xlarge is a high-performance bare-metal server designed for GPU-intensive workloads. Running on the KVM hypervisor, this x86_64 instance features 128 dedicated Intel Xeon 6462C vCPUs clocked at 3.3 GHz, paired with 1024.0 GB of system memory. Hardware acceleration is provided by eight NVIDIA Ada Lovelace GPUs with a combined 384 GB of VRAM, making it highly suitable for deep learning, AI model training, and parallel computing. The instance offers a baseline network bandwidth of 170 Gbps to support high-throughput data transfers. A key architectural tradeoff is the absence of local storage, requiring external block storage solutions for data persistence. This server is optimized for enterprise-scale artificial intelligence, data science, and complex rendering workloads where high-density GPU compute and dedicated CPU resources are required.
Economics
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