ecs.g7.8xlarge by Alibaba Cloud

ecs.g7.8xlarge is a ecs.g7 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 0.2537 USD per hour.
32 vCPU
128 GiB Memory
Spare SCore
31,014
(All-cores)
1,830
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.8xlarge
Description
ecs.g7 family (32 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-09-13T16:31:47.836407

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.2537 USD/h 1.1534 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2566 USD/h 1.1662 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.2958 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.2958 USD/h
Shanghai (CN) / cn-shanghai
- 1.2958 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.2958 USD/h
Fuzhou (CN) / cn-fuzhou
- 1.296 USD/h
Virginia (US) / us-east-1
0.304 USD/h 1.382 USD/h
Frankfurt (DE) / eu-central-1
0.563 USD/h 1.656 USD/h
Tokyo (JP) / ap-northeast-1
0.4644 USD/h 1.786 USD/h
Hong Kong (HK) / cn-hongkong
0.4942 USD/h 1.9008 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
768 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
16.9
Scalability
52.81

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

      CPU and System Topology

      Server Description

      A dedicated Intel-powered general-purpose instance featuring a balanced CPU-to-memory ratio and strong memory performance for enterprise workloads.

      General Purpose

      Alibaba Cloud ecs.g7.8xlarge is an x86_64 general-purpose instance featuring 32 dedicated physical cores and 32 vCPUs powered by an Intel Xeon 8369B processor running at 2.7 GHz. It is configured with 128 GB of RAM, yielding 4.0 GB of memory per core, and provides a baseline network bandwidth of 16 Gbps. This instance does not include local storage, relying entirely on network-attached storage. In benchmark testing, the ecs.g7.8xlarge demonstrates strong memory performance, ranking in the top 25% for Passmark memory tests, and strong text generation speeds for small LLM models. Most other compute benchmarks, such as Geekbench and stress-ng, place in the average tier. This hardware profile is suited for general-purpose enterprise applications, web serving, and database workloads requiring dedicated CPU allocation without hyperthreading overhead.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.76Score
      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) 4,212,541 ops/sec 1,917,397 ops/sec 2.2 50.00% 50.00% +48.30%
      Redis RPS (pipeline=16, SET) 21,124,678 ops/sec 11,681,410 ops/sec 1.81 20.00% 20.00% +12.60%
      PassMark Memory Mark (composite) 2,775 2,418 1.15 10.00% 10.00% +1.41%
      Memory bandwidth (read, 16 MB ~ L3) 160,183 MB/sec 108,140 MB/sec 1.48 10.00% 10.00% +4.00%
      PassMark single-thread CPU 2,359 Mops/s 2,365 Mops/s 0.998 10.00% 10.00% -0.02%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,571

      Geekbench Multi-Core

      Score: 13,329

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 36599
      Compression
      		 489793
      Encryption
      		 29164
      Extended Instructions
      		 28292
      Floating Point Maths
      		 68782
      Integer Maths
      		 134372
      Physics
      		 3363
      Prime Numbers
      		 186
      Single Threaded
      		 2359
      String Sorting
      		 68992

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2775
      Database Operations
      		 15091
      Memory Latency
      		 52
      Memory Read Cached
      		 24123
      Memory Read Uncached
      		 11866
      Memory Write
      		 10975

      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.g7.large 28 GiB0
      ecs.g7.xlarge 416 GiB0
      ecs.g7.2xlarge 832 GiB0
      ecs.g7.3xlarge 1248 GiB0
      ecs.g7.4xlarge 1664 GiB0
      ecs.g7.6xlarge 2496 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.8xlarge FAQs