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ecs.g7se.3xlarge by Alibaba Cloud

ecs.g7se.3xlarge is a ecs.g7se family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.5527 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11645
(All-cores)
1863
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7se.3xlarge
Description
ecs.g7se family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.g7se
Hw Virt
Status
active
Observed At
2026-07-30T06:07:01.432470

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.5527 USD/h
Beijing (CN) / cn-beijing
- 0.6141 USD/h
Chengdu (CN) / cn-chengdu
- 0.6141 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.6141 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.6141 USD/h
Heyuan (CN) / cn-heyuan
- 0.6141 USD/h
Shanghai (CN) / cn-shanghai
- 0.6141 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.6141 USD/h
Singapore (SG) / ap-southeast-1
- 0.8035 USD/h
Jakarta (ID) / ap-southeast-5
- 0.8035 USD/h
Hong Kong (HK) / cn-hongkong
- 0.8197 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
CPU Speed
2.9 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
288 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
6.3
Scalability
52.5

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      4.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated twelve-core x86_64 virtual server with balanced memory allocation and baseline network throughput for general-purpose enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7se.3xlarge is a general-purpose virtual server featuring 12 dedicated vCPUs powered by an Intel Xeon 8369B processor at 2.9 GHz, paired with 48.0 GB of RAM. Operating on the KVM hypervisor, this instance lacks local storage and GPU accelerators, relying on a baseline network bandwidth of 4 Gbps. Benchmark data indicates average performance across standard compute and memory tasks, with a single-core stress-ng score of 1862.99 and a multi-core score of 11645.18. The instance demonstrates solid capabilities in database operations, achieving 11.94 million operations per second in Redis SET benchmarks, and static web serving at 17.05 GB/sec. However, it exhibits weak performance in prompt processing for medium 7B language models. This server is designed for balanced workloads such as web serving, software compilation, and moderate database hosting where dedicated CPU resources are required without local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.834Score
      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) 1,581,960 ops/sec 1,896,415 ops/sec 0.834 50.00% 50.00% -8.68%
      Redis RPS (pipeline=16, SET) 8,183,732 ops/sec 11,539,523 ops/sec 0.709 20.00% 20.00% -6.65%
      PassMark Memory Mark (composite) 2,382 2,411 0.988 10.00% 10.00% -0.12%
      Memory bandwidth (read, 16 MB ~ L3) 86,005 MB/sec 107,368 MB/sec 0.801 10.00% 10.00% -2.19%
      PassMark single-thread CPU 2,385 Mops/s 2,363 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,570

      Geekbench Multi-Core

      Score: 7,817

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16425
      Compression
      		 185419
      Encryption
      		 10961
      Extended Instructions
      		 10522
      Floating Point Maths
      		 25828
      Integer Maths
      		 50506
      Physics
      		 1827
      Prime Numbers
      		 107
      Single Threaded
      		 2385
      String Sorting
      		 26249

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2382
      Database Operations
      		 5988
      Memory Latency
      		 52
      Memory Read Cached
      		 24277
      Memory Read Uncached
      		 9246
      Memory Write
      		 9235

      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.g7se.large 28 GiB0
      ecs.g7se.xlarge 416 GiB0
      ecs.g7se.2xlarge 832 GiB0
      ecs.g7se.4xlarge 1664 GiB0
      ecs.g7se.6xlarge 2496 GiB0
      ecs.g7se.8xlarge 32128 GiB0
      ecs.g7se.16xlarge 64256 GiB0

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      ecs.g7se.3xlarge FAQs