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ecs.c8ae.4xlarge by Alibaba Cloud

ecs.c8ae.4xlarge is a ecs.c8ae family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.5449 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
24940
(All-cores)
3115
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c8ae.4xlarge
Description
ecs.c8ae family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c8ae
Hw Virt
Average Time To Start
14.5
Status
active
Observed At
2026-07-30T14:48:07.062253

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.5449 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5449 USD/h
Shanghai (CN) / cn-shanghai
- 0.5449 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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, perfctr_llc, 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
8
Scalability
50

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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance delivering top-tier single-core performance and AVX-512 support for intensive processing workloads.

      Compute Optimized

      Alibaba Cloud ecs.c8ae.4xlarge is a compute-optimized instance featuring 16 dedicated physical cores of an AMD EPYC 9T34 processor running at 3.4 GHz, paired with 32.0 GB of RAM. Operating on the KVM hypervisor, this x86_64 instance delivers top-tier single-core performance, ranking in the top 10% of benchmarks, while maintaining average multi-core and memory bandwidth metrics. The hardware lacks local storage and GPUs, but provides a baseline network bandwidth of 12 Gbps and supports advanced instruction sets like AVX-512. This resource profile offers high qualitative cost efficiency for compute-bound workloads that require dedicated CPU resources without massive memory overhead. It is highly suitable for web serving, batch processing, and compression tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.856Score
      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) 1,489,856 ops/sec 1,896,415 ops/sec 0.786 50.00% 50.00% -11.30%
      Redis RPS (pipeline=16, SET) 11,472,976 ops/sec 11,539,523 ops/sec 0.994 20.00% 20.00% -0.12%
      PassMark Memory Mark (composite) 2,705 2,411 1.12 10.00% 10.00% +1.14%
      Memory bandwidth (read, 16 MB ~ L3) 55,266 MB/sec 107,368 MB/sec 0.515 10.00% 10.00% -6.42%
      PassMark single-thread CPU 2,929 Mops/s 2,363 Mops/s 1.24 10.00% 10.00% +2.17%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 26779
      Compression
      		 313329
      Encryption
      		 19516
      Extended Instructions
      		 22203
      Floating Point Maths
      		 43080
      Integer Maths
      		 77008
      Physics
      		 2628
      Prime Numbers
      		 127
      Single Threaded
      		 2929
      String Sorting
      		 46224

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2705
      Database Operations
      		 8088
      Memory Latency
      		 71
      Memory Read Cached
      		 27821
      Memory Read Uncached
      		 26498
      Memory Write
      		 25990

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.c8ae.large 24 GiB0
      ecs.c8ae.xlarge 48 GiB0
      ecs.c8ae.2xlarge 816 GiB0
      ecs.c8ae.8xlarge 3264 GiB0
      ecs.c8ae.16xlarge 64128 GiB0
      ecs.c8ae.32xlarge 128256 GiB0

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      ecs.c8ae.4xlarge FAQs