ecs.g5ne.8xlarge by Alibaba Cloud

ecs.g5ne.8xlarge is a ecs.g5ne family (32 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.342 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
23,406
(All-cores)
1,107
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g5ne.8xlarge
Description
ecs.g5ne family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g5ne
Hw Virt
Status
active
Observed At
2026-09-12T09:08:07.282883

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.342 USD/h 1.8 USD/h
Manila (PH) / ap-southeast-6
0.3967 USD/h 2.088 USD/h
London (GB) / eu-west-1
0.418 USD/h 2.2 USD/h
Jakarta (ID) / ap-southeast-5
0.4408 USD/h 2.32 USD/h
Frankfurt (DE) / eu-central-1
- 2.32 USD/h
Ulanqab (CN) / cn-wulanchabu
0.3859 USD/h 2.412 USD/h
Tokyo (JP) / ap-northeast-1
0.4636 USD/h 2.44 USD/h
Shanghai (CN) / cn-shanghai
0.4288 USD/h 2.68 USD/h
Beijing (CN) / cn-beijing
0.5092 USD/h 2.68 USD/h
Chengdu (CN) / cn-chengdu
0.5092 USD/h 2.68 USD/h
Heyuan (CN) / cn-heyuan
0.5092 USD/h 2.68 USD/h
Qingdao (CN) / cn-qingdao
0.5092 USD/h 2.68 USD/h
Guangzhou (CN) / cn-guangzhou
- 2.68 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.68 USD/h
Nanjing (CN) / cn-nanjing
- 2.68 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.68 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
Ecpus
21.1
Scalability
65.94

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

      CPU and System Topology

      Server Description

      A balanced general-purpose instance featuring 32 dedicated cores and 128 GB RAM, optimized for multi-threaded workloads and average-tier database operations.

      General Purpose

      Alibaba Cloud ecs.g5ne.8xlarge is a general-purpose instance featuring 32 dedicated Intel Xeon 8163 vCPUs (32 physical cores) running at 2.5 GHz, paired with 128.0 GB of RAM. Operating on the KVM hypervisor with an x86_64 architecture, it lacks local storage and GPU accelerators but provides a baseline network bandwidth of 15 Gbps. Performance benchmarks show weak single-core capabilities, with single-threaded compression and decompression scoring in the bottom 10% to 25%. However, its multi-core performance, memory bandwidth, and database operations consistently rank in the average tier (middle 50%). This resource profile makes the instance qualitatively cost-effective for parallelized, multi-threaded workloads rather than single-core intensive tasks. It is best suited for general-purpose applications, static web serving, database operations, and multi-threaded compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.987Score
      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) 1,916,704 ops/sec 1,917,397 ops/sec 1 50.00% 50.00% 0.00%
      Redis RPS (pipeline=16, SET) 13,629,766 ops/sec 11,681,410 ops/sec 1.17 20.00% 20.00% +3.19%
      PassMark Memory Mark (composite) 1,798 2,418 0.744 10.00% 10.00% -2.91%
      Memory bandwidth (read, 16 MB ~ L3) 131,607 MB/sec 108,140 MB/sec 1.22 10.00% 10.00% +2.01%
      PassMark single-thread CPU 1,686 Mops/s 2,365 Mops/s 0.713 10.00% 10.00% -3.33%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 951

      Geekbench Multi-Core

      Score: 8,312

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23344
      Compression
      		 361928
      Encryption
      		 10852
      Extended Instructions
      		 23803
      Floating Point Maths
      		 42001
      Integer Maths
      		 78197
      Physics
      		 2435
      Prime Numbers
      		 136
      Single Threaded
      		 1686
      String Sorting
      		 46923

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1798
      Database Operations
      		 8538
      Memory Latency
      		 79
      Memory Read Cached
      		 19540
      Memory Read Uncached
      		 6148
      Memory Write
      		 6748

      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.g5ne.large 28 GiB0
      ecs.g5ne.xlarge 416 GiB0
      ecs.g5ne.2xlarge 832 GiB0
      ecs.g5ne.4xlarge 1664 GiB0
      ecs.g5ne.16xlarge 64256 GiB0
      ecs.g5ne.18xlarge 72288 GiB0

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      ecs.g5ne.8xlarge FAQs