logo

ecs.c8ae.large by Alibaba Cloud

ecs.c8ae.large is a ecs.c8ae family (2 vCPUs, 4 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 4 GiB of memory and 0 GB of storage. The pricing starts at 0.0681 USD per hour.
2 vCPU
4 GiB Memory
Spare SCore
3114
(All-cores)
3112
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8ae.large
Description
ecs.c8ae family (2 vCPUs, 4 GiB RAM, 0 GB storage)
Family
ecs.c8ae
Hw Virt
-
Average Time To Start
15
Status
active
Observed At
2026-08-12T09:07:37.510447

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.0681 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.0681 USD/h
Shanghai (CN) / cn-shanghai
- 0.0681 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
3.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T34
CPU L1D Cache
32 KiB
CPU L1D Cache Total
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, amd_lbr_v2, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, extapic, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, ibs, topoext, perfctr_core, mwaitx, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, irperf, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
1
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
4 GiB
Memory Amount Actual
4 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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated dual-core x86_64 virtual server featuring strong single-core performance and a compact memory footprint for lightweight workloads.

      Compute Optimized

      Alibaba Cloud ecs.c8ae.large is a compute-optimized instance featuring 2 dedicated vCPUs and 4.0 GB of RAM, powered by an AMD EPYC 9T34 processor running at 3.4 GHz. Operating on the KVM hypervisor with an x86_64 architecture, this server lacks local storage and GPU accelerators, relying on a 3 Gbps baseline network bandwidth. Performance benchmarks indicate a strong single-core CPU capability, ranking in the top 25% for stress-ng single-core tests. Conversely, multi-core performance and database operations are weak, with PassMark database operations scoring in the bottom 10%. This resource profile makes the instance qualitatively cost-efficient for lightweight, single-threaded tasks and basic web serving, while presenting clear limitations for memory-intensive or highly parallelized database workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.199Score
      Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) 183,703 ops/sec 1,910,660 ops/sec 0.0961 50.00% 50.00% -69.00%
      Redis RPS (pipeline=16, SET) 1,538,880 ops/sec 11,608,287 ops/sec 0.133 20.00% 20.00% -33.20%
      PassMark Memory Mark (composite) 1,738 2,416 0.719 10.00% 10.00% -3.25%
      Memory bandwidth (read, 16 MB ~ L3) 82,270 MB/sec 107,896 MB/sec 0.762 10.00% 10.00% -2.68%
      PassMark single-thread CPU 2,863 Mops/s 2,364 Mops/s 1.21 10.00% 10.00% +1.92%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 3871
      Compression
      		 40050
      Encryption
      		 2417
      Extended Instructions
      		 2659
      Floating Point Maths
      		 5358
      Integer Maths
      		 9561
      Physics
      		 481
      Prime Numbers
      		 24
      Single Threaded
      		 2863
      String Sorting
      		 5860

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1738
      Database Operations
      		 1075
      Memory Latency
      		 71
      Memory Read Cached
      		 27556
      Memory Read Uncached
      		 26247
      Memory Write
      		 25804

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.c8ae.xlarge 48 GiB0
      ecs.c8ae.2xlarge 816 GiB0
      ecs.c8ae.4xlarge 1632 GiB0
      ecs.c8ae.8xlarge 3264 GiB0
      ecs.c8ae.16xlarge 64128 GiB0
      ecs.c8ae.32xlarge 128256 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      ecs.c8ae.large FAQs