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ecs.c7.4xlarge by Alibaba Cloud

ecs.c7.4xlarge is a ecs.c7 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 0.0863 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15477
(All-cores)
1847
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.4xlarge
Description
ecs.c7 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Status
active
Observed At
2026-07-21T01:27:01.611714

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.0989 USD/h 0.4493 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1022 USD/h 0.4543 USD/h
Hangzhou (CN) / cn-hangzhou
0.0959 USD/h 0.5048 USD/h
Guangzhou (CN) / cn-guangzhou
0.1111 USD/h 0.5048 USD/h
Shanghai (CN) / cn-shanghai
- 0.5048 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5048 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.5049 USD/h
Virginia (US) / us-east-1
0.1591 USD/h 0.612 USD/h
Frankfurt (DE) / eu-central-1
0.1326 USD/h 0.698 USD/h
Tokyo (JP) / ap-northeast-1
0.1463 USD/h 0.77 USD/h
Hong Kong (HK) / cn-hongkong
0.21775 USD/h 0.7776 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
10 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
8.4
Scalability
52.5

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

      CPU and System Topology

      Server Description

      A dedicated x86_64 compute-optimized platform featuring sixteen Intel Xeon cores for balanced web serving and processing workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.4xlarge is a compute-optimized instance featuring 16 dedicated vCPUs and 16 physical cores powered by an Intel Xeon 8369B processor at 2.7 GHz. Built on the x86_64 architecture under a KVM hypervisor, it provides 32.0 GB of system memory, resulting in a 2.0 GB per core ratio. The instance lacks local storage and dedicated GPUs, but offers a baseline network bandwidth of 10 Gbps. Benchmark results indicate average performance, with a multi-core Geekbench score of 9153.0 and a static web serving throughput of 18.93 GB/sec. While it supports AVX-512 and cryptographic acceleration, its memory-to-CPU ratio limits its efficiency in large-scale AI tasks, as seen in its lower 7B LLM prompt processing speed. It is best suited for compute-intensive workloads, web serving, and software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.01Score
      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) 2,033,132 ops/sec 1,896,415 ops/sec 1.07 50.00% 50.00% +3.44%
      Redis RPS (pipeline=16, SET) 10,402,544 ops/sec 11,539,523 ops/sec 0.901 20.00% 20.00% -2.06%
      PassMark Memory Mark (composite) 2,459 2,411 1.02 10.00% 10.00% +0.20%
      Memory bandwidth (read, 16 MB ~ L3) 98,892 MB/sec 107,368 MB/sec 0.921 10.00% 10.00% -0.82%
      PassMark single-thread CPU 2,355 Mops/s 2,363 Mops/s 0.997 10.00% 10.00% -0.03%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,517

      Geekbench Multi-Core

      Score: 9,153

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		20865
      Compression
      		249437
      Encryption
      		14542
      Extended Instructions
      		14053
      Floating Point Maths
      		34366
      Integer Maths
      		67155
      Physics
      		2056
      Prime Numbers
      		112
      Single Threaded
      		2355
      String Sorting
      		34528

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2459
      Database Operations
      		7705
      Memory Latency
      		56
      Memory Read Cached
      		23944
      Memory Read Uncached
      		11224
      Memory Write
      		10288

      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.c7.2xlarge 816 GiB0
      ecs.c7.3xlarge 1224 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0
      ecs.c7.16xlarge 64128 GiB0

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      ecs.c7.4xlarge FAQs