ecs.e4.xlarge by Alibaba Cloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | alicloud |
Name | ecs.e4.xlarge |
Description | ecs.e4 family (4 vCPUs, 32 GiB RAM, 0 GB storage) |
Family | ecs.e4 |
Hw Virt | |
Status | active |
Observed At | 2026-09-16T05:49:49.752822 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|
Processor
vCPUs | 4 |
Hypervisor | KVM |
CPU Allocation | Shared |
CPU Cores | 4 |
CPU Speed | 2.5 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | E5-2682 v4 |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 64 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 64 KiB |
CPU L2 Cache | 256 KiB |
CPU L2 Cache Total | 512 KiB |
CPU L3 Cache | 40 MiB |
CPU L3 Cache Total | 40 MiB |
CPU Flags | fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, rdseed, adx, smap, xsaveopt, arat |
Ecpus | 3.9 |
Scalability | 97.5 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 32 GiB |
Memory Amount Actual | 32 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 0.8 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
A memory-optimized virtual server with shared vCPUs and 32 GB RAM, designed for lightweight caching and memory-intensive background workloads.
Alibaba Cloud ecs.e4.xlarge is an x86_64 virtual server featuring 4 shared vCPUs on an Intel Xeon E5-2682 v4 processor running at 2.5 GHz, paired with 32.0 GB of RAM. Operating on the KVM hypervisor, this instance does not include local storage or GPU accelerators, and provides a 1 Gbps baseline network bandwidth. Performance benchmarks place the instance in the lower tiers, with stress-ng single-core performance in the bottom 10% and multi-core performance in the bottom 25%. Large block memory read bandwidth is measured at 30.12 GB/sec. Given its high memory-to-vCPU ratio of 8.0 GB per core alongside shared CPU allocation, the ecs.e4.xlarge is qualitatively cost-efficient for memory-heavy, compute-light workloads. It is best suited for caching layers, lightweight database operations, static web serving, and general-purpose tasks that benefit from a larger memory footprint without requiring high-performance computing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 5065 |
Compression | 69652 |
Encryption | 1299 |
Extended Instructions | 4006 |
Floating Point Maths | 11974 |
Integer Maths | 13967 |
Physics | 722 |
Prime Numbers | 46 |
Single Threaded | 1853 |
String Sorting | 9642 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1577 |
Database Operations | 1128 |
Memory Latency | 71 |
Memory Read Cached | 18978 |
Memory Read Uncached | 6635 |
Memory Write | 5683 |
Stress-ng Raw Scores
Stress-ng Relative Multicore Performance
LLM Inference Speed for Prompt Processing
LLM Inference Speed for Text Generation
Static Web Server
Redis
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| ecs.e4.small | 1 | 8 GiB | 0 |
| ecs.e4.large | 2 | 16 GiB | 0 |
| ecs.e4.2xlarge | 8 | 64 GiB | 0 |
| ecs.e4.4xlarge | 16 | 128 GiB | 0 |
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