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ecs.r7.xlarge by Alibaba Cloud

ecs.r7.xlarge is a ecs.r7 family (4 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 4 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0409 USD per hour.
4 vCPU
32 GiB Memory
Spare SCore
3854
(All-cores)
1858
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.xlarge
Description
ecs.r7 family (4 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Average Time To Start
16
Status
active
Observed At
2026-07-21T01:27:01.611522

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.05 USD/h 0.1923 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.194 USD/h
Hangzhou (CN) / cn-hangzhou
0.0409 USD/h 0.2155 USD/h
Guangzhou (CN) / cn-guangzhou
0.056 USD/h 0.2155 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.2155 USD/h
Shanghai (CN) / cn-shanghai
- 0.2155 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2155 USD/h
Virginia (US) / us-east-1
0.0499 USD/h 0.227 USD/h
Tokyo (JP) / ap-northeast-1
0.0521 USD/h 0.274 USD/h
Frankfurt (DE) / eu-central-1
0.0562 USD/h 0.274 USD/h
Hong Kong (HK) / cn-hongkong
- 0.3006 USD/h

Processor

vCPUs
4
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
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
96 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
64 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
3 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
2.1
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
      3 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring a high RAM-to-vCPU ratio for memory-bound workloads with moderate parallel processing requirements.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.xlarge is a memory-optimized instance featuring 4 dedicated vCPUs on an Intel Xeon 8369B processor running at 2.7 GHz, paired with 32.0 GB of RAM. Operating on the x86_64 architecture under the KVM hypervisor, this instance provides a high memory-to-vCPU ratio of 8.0 GB per core but lacks local storage and GPU accelerators. Performance benchmarks indicate average single-core capabilities, including Geekbench single-core and single-threaded compression tests, alongside average static web serving throughput. However, multi-core performance, memory read bandwidth, and database operations are weak. Qualitatively, the instance offers cost-effective memory capacity for workloads that do not demand high parallel compute density. It is best suited for memory-bound applications with moderate CPU requirements, such as caching layers, static web serving, text processing, and lightweight in-memory databases.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.363Score
      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) 539,241 ops/sec 1,896,415 ops/sec 0.284 50.00% 50.00% -46.70%
      Redis RPS (pipeline=16, SET) 2,790,925 ops/sec 11,539,523 ops/sec 0.242 20.00% 20.00% -24.70%
      PassMark Memory Mark (composite) 2,388 2,411 0.99 10.00% 10.00% -0.10%
      Memory bandwidth (read, 16 MB ~ L3) 39,201 MB/sec 107,368 MB/sec 0.365 10.00% 10.00% -9.59%
      PassMark single-thread CPU 2,359 Mops/s 2,363 Mops/s 0.998 10.00% 10.00% -0.02%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,563

      Geekbench Multi-Core

      Score: 3,303

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		5888
      Compression
      		63493
      Encryption
      		3618
      Extended Instructions
      		3411
      Floating Point Maths
      		8580
      Integer Maths
      		16727
      Physics
      		738
      Prime Numbers
      		37
      Single Threaded
      		2359
      String Sorting
      		8901

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		2388
      Database Operations
      		2082
      Memory Latency
      		53
      Memory Read Cached
      		24086
      Memory Read Uncached
      		12980
      Memory Write
      		11923

      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.r7.large 216 GiB0
      ecs.r7.2xlarge 864 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.4xlarge 16128 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.xlarge FAQs