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ecs.c7a.4xlarge by Alibaba Cloud

ecs.c7a.4xlarge is a ecs.c7a 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 0.069 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
21424
(All-cores)
2679
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a.4xlarge
Description
ecs.c7a family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Status
active
Observed At
2026-07-29T03:06:55.984508

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.327 USD/h
Chengdu (CN) / cn-chengdu
0.069 USD/h 0.363 USD/h
Shenzhen (CN) / cn-shenzhen
0.069 USD/h 0.363 USD/h
Guangzhou (CN) / cn-guangzhou
0.0799 USD/h 0.363 USD/h
Beijing (CN) / cn-beijing
- 0.363 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.363 USD/h
Shanghai (CN) / cn-shanghai
- 0.363 USD/h
Frankfurt (DE) / eu-central-1
0.1043 USD/h 0.5491 USD/h
Virginia (US) / us-east-1
0.1428 USD/h 0.5493 USD/h
Jakarta (ID) / ap-southeast-5
- 0.598 USD/h
Singapore (SG) / ap-southeast-1
0.1316 USD/h 0.5984 USD/h
Hong Kong (HK) / cn-hongkong
0.1316 USD/h 0.5984 USD/h
Tokyo (JP) / ap-northeast-1
0.15665 USD/h 0.6528 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
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
512 KiB
CPU L2 Cache Total
4 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, 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, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated AMD EPYC compute-optimized instance delivering strong single-core performance for processing-heavy workloads without local storage requirements.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a.4xlarge is a compute-optimized instance featuring 16 dedicated physical cores powered by an AMD EPYC 7T83 processor running at 2.55 GHz. Built on the x86_64 architecture and the KVM hypervisor, it delivers 32.0 GB of system memory, translating to 2.0 GB per core, with no local storage or GPU accelerators. Benchmark results show strong single-core CPU performance and efficient small-model text generation, though uncached memory write bandwidth is a notable bottleneck. With a baseline network bandwidth of 5 Gbps, this instance is designed for compute-heavy workloads such as static web serving, redis operations, and moderate CPU-based inference tasks where dedicated CPU allocation is required without the need for high memory density.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.654Score
      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) 1,176,231 ops/sec 1,896,415 ops/sec 0.62 50.00% 50.00% -21.30%
      Redis RPS (pipeline=16, SET) 8,891,204 ops/sec 11,539,523 ops/sec 0.771 20.00% 20.00% -5.07%
      PassMark Memory Mark (composite) 2,640 2,411 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 25,646 MB/sec 107,368 MB/sec 0.239 10.00% 10.00% -13.30%
      PassMark single-thread CPU 2,380 Mops/s 2,363 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      21196
      Compression
      251488
      Encryption
      17010
      Extended Instructions
      14867
      Floating Point Maths
      36319
      Integer Maths
      66357
      Physics
      1720
      Prime Numbers
      92
      Single Threaded
      2380
      String Sorting
      34645

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2640
      Database Operations
      6584
      Memory Latency
      56
      Memory Read Cached
      23412
      Memory Read Uncached
      17722
      Memory Write
      15600

      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

      INSTANCEvCPUsMEMORYGPUs
      ecs.c7a.large 24 GiB0
      ecs.c7a.xlarge 48 GiB0
      ecs.c7a.2xlarge 816 GiB0
      ecs.c7a-nps1.8xlarge 3264 GiB0
      ecs.c7a.8xlarge 3264 GiB0
      ecs.c7a-nps1.16xlarge 64128 GiB0
      ecs.c7a.16xlarge 64128 GiB0

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      ecs.c7a.4xlarge FAQs