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ecs.c7.2xlarge by Alibaba Cloud

ecs.c7.2xlarge is a ecs.c7 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0432 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7749
(All-cores)
1850
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.2xlarge
Description
ecs.c7 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-07-26T14:06:52.466072

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 0.2247 USD/h
Ulanqab (CN) / cn-wulanchabu
0.0466 USD/h 0.2272 USD/h
Guangzhou (CN) / cn-guangzhou
0.05175 USD/h 0.2524 USD/h
Hangzhou (CN) / cn-hangzhou
0.048 USD/h 0.2524 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.2524 USD/h
Shanghai (CN) / cn-shanghai
- 0.2524 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2524 USD/h
Virginia (US) / us-east-1
0.07955 USD/h 0.306 USD/h
Frankfurt (DE) / eu-central-1
0.0663 USD/h 0.349 USD/h
Tokyo (JP) / ap-northeast-1
0.0732 USD/h 0.385 USD/h
Hong Kong (HK) / cn-hongkong
0.1011 USD/h 0.3888 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, 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, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, 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, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
4.2
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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 eight-core compute-optimized instance featuring a balanced CPU-to-RAM ratio for processing-heavy workloads without local storage requirements.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.2xlarge is an x86_64 compute-optimized instance featuring 8 dedicated Intel Xeon 8369B physical cores running at 2.7 GHz and 16.0 GB of RAM. Operating on a KVM hypervisor, it provides a 5 Gbps baseline network bandwidth but lacks local storage and GPU accelerators. Benchmark results show average performance in CPU-heavy tasks, with a stress-ng multi-core score of 7748.54 and a Geekbench multi-core score of 5294.0. However, uncached memory bandwidth is a notable bottleneck, with large-block reads and writes falling into the poor and weak categories respectively. This resource profile offers qualitative cost efficiency for compute-bound workloads with low memory requirements. It is suitable for software compilation, static web serving, and moderate database operations, but is constrained by its memory bandwidth for larger data-intensive tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.523Score
      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) 1,027,275 ops/sec 1,896,415 ops/sec 0.542 50.00% 50.00% -26.40%
      Redis RPS (pipeline=16, SET) 5,243,370 ops/sec 11,539,523 ops/sec 0.454 20.00% 20.00% -14.60%
      PassMark Memory Mark (composite) 1,773 2,411 0.736 10.00% 10.00% -3.02%
      Memory bandwidth (read, 16 MB ~ L3) 23,441 MB/sec 107,368 MB/sec 0.218 10.00% 10.00% -14.10%
      PassMark single-thread CPU 2,342 Mops/s 2,363 Mops/s 0.991 10.00% 10.00% -0.09%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,452

      Geekbench Multi-Core

      Score: 5,294

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11126
      Compression
      		 123134
      Encryption
      		 7249
      Extended Instructions
      		 6947
      Floating Point Maths
      		 17143
      Integer Maths
      		 33502
      Physics
      		 1141
      Prime Numbers
      		 64
      Single Threaded
      		 2342
      String Sorting
      		 16867

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1773
      Database Operations
      		 3794
      Memory Latency
      		 56
      Memory Read Cached
      		 24153
      Memory Read Uncached
      		 7580
      Memory Write
      		 7717

      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.c7.large 24 GiB0
      ecs.c7.xlarge 48 GiB0
      ecs.c7.3xlarge 1224 GiB0
      ecs.c7.4xlarge 1632 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0
      ecs.c7.16xlarge 64128 GiB0

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      ecs.c7.2xlarge FAQs