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ecs.r7.4xlarge by Alibaba Cloud

ecs.r7.4xlarge is a ecs.r7 family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1693 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15504
(All-cores)
1864
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7.4xlarge
Description
ecs.r7 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.r7
Hw Virt
Status
active
Observed At
2026-08-04T13:27:43.383554

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.1693 USD/h 0.7694 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.7759 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.8621 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8621 USD/h
Shanghai (CN) / cn-shanghai
- 0.8621 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.8621 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.8622 USD/h
Virginia (US) / us-east-1
0.2358 USD/h 0.907 USD/h
Tokyo (JP) / ap-northeast-1
0.2079 USD/h 1.094 USD/h
Frankfurt (DE) / eu-central-1
0.2243 USD/h 1.094 USD/h
Hong Kong (HK) / cn-hongkong
0.3126 USD/h 1.2024 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
8.3
Scalability
51.88

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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 memory-optimized instance with a high memory-to-core ratio, designed for database operations and memory-intensive workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7.4xlarge is a memory-optimized instance featuring 16 dedicated physical cores on an Intel Xeon 8369B x86_64 processor running at 2.7 GHz. Equipped with 128.0 GB of RAM, it maintains an 8.0 GB per core memory-to-vCPU ratio, though it lacks local storage and GPU accelerators. Network performance is anchored by a 10 Gbps baseline bandwidth. Benchmarks indicate average tier performance, with a Geekbench multi-core score of 9464.0 and a PassMark CPU score of 20751.25. Memory bandwidth reaches 849.57 GB/sec for cached reads, supporting high-throughput memory operations. While it handles Redis SET operations at 15.46 million operations per second, LLM inference on larger models is a notable bottleneck, with 7B model prompt processing falling into the bottom 25% tier. This instance is best suited for database operations, caching, and memory-intensive enterprise workloads.

      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) 2,028,916 ops/sec 1,910,660 ops/sec 1.06 50.00% 50.00% +2.96%
      Redis RPS (pipeline=16, SET) 10,514,885 ops/sec 11,608,287 ops/sec 0.906 20.00% 20.00% -1.95%
      PassMark Memory Mark (composite) 2,384 2,416 0.987 10.00% 10.00% -0.13%
      Memory bandwidth (read, 16 MB ~ L3) 105,643 MB/sec 107,896 MB/sec 0.979 10.00% 10.00% -0.21%
      PassMark single-thread CPU 2,395 Mops/s 2,364 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,575

      Geekbench Multi-Core

      Score: 9,464

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 20751
      Compression
      		 244644
      Encryption
      		 14229
      Extended Instructions
      		 14046
      Floating Point Maths
      		 34320
      Integer Maths
      		 67029
      Physics
      		 2037
      Prime Numbers
      		 111
      Single Threaded
      		 2395
      String Sorting
      		 34307

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2384
      Database Operations
      		 7566
      Memory Latency
      		 60
      Memory Read Cached
      		 24030
      Memory Read Uncached
      		 9701
      Memory Write
      		 9177

      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.xlarge 432 GiB0
      ecs.r7.2xlarge 864 GiB0
      ecs.r7.3xlarge 1296 GiB0
      ecs.r7.6xlarge 24192 GiB0
      ecs.r7.8xlarge 32256 GiB0
      ecs.r7.16xlarge 64512 GiB0

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      ecs.r7.4xlarge FAQs