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ecs.g7.6xlarge by Alibaba Cloud

ecs.g7.6xlarge is a ecs.g7 family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.1644 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
23245
(All-cores)
1836
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.g7.6xlarge
Description
ecs.g7 family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.g7
Hw Virt
Status
active
Observed At
2026-08-07T19:50:11.150089

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
0.17735 USD/h 0.865 USD/h
Ulanqab (CN) / cn-wulanchabu
0.2274 USD/h 0.8747 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.9718 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9718 USD/h
Shanghai (CN) / cn-shanghai
- 0.9718 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.9718 USD/h
Fuzhou (CN) / cn-fuzhou
- 0.972 USD/h
Frankfurt (DE) / eu-central-1
0.236 USD/h 1.242 USD/h
Tokyo (JP) / ap-northeast-1
0.2946 USD/h 1.339 USD/h
Hong Kong (HK) / cn-hongkong
0.3564 USD/h 1.4256 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
576 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
15 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
12.7
Scalability
52.92

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      12 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated twenty-four core Intel Xeon instance offering a balanced memory-to-CPU ratio and stable baseline networking for general-purpose workloads.

      General Purpose

      Alibaba Cloud ecs.g7.6xlarge is an x86_64 general-purpose instance featuring 24 dedicated physical cores powered by an Intel Xeon 8369B processor running at 2.7 GHz. It is configured with 96.0 GB of system memory, providing a balanced 4.0 GB per core, and operates on the KVM hypervisor. The instance lacks local storage and GPU accelerators, relying on a 12 Gbps baseline network bandwidth. Performance benchmarks place the server in the average tier for most compute and memory tasks, with a Passmark CPU score of 28981.96 and a Geekbench multi-core score of 11454.0. It exhibits strong performance in text generation for small language models, achieving 282.28 tokens/sec. Given its balanced resource allocation and dedicated CPU execution, the ecs.g7.6xlarge is suited for multi-threaded applications, database operations, static web serving, and software compilation.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.41Score
      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) 3,152,570 ops/sec 1,910,660 ops/sec 1.65 50.00% 50.00% +28.50%
      Redis RPS (pipeline=16, SET) 15,699,923 ops/sec 11,608,287 ops/sec 1.35 20.00% 20.00% +6.19%
      PassMark Memory Mark (composite) 2,705 2,416 1.12 10.00% 10.00% +1.14%
      Memory bandwidth (read, 16 MB ~ L3) 133,619 MB/sec 107,896 MB/sec 1.24 10.00% 10.00% +2.17%
      PassMark single-thread CPU 2,357 Mops/s 2,364 Mops/s 0.997 10.00% 10.00% -0.03%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,544

      Geekbench Multi-Core

      Score: 11,454

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 28982
      Compression
      		 368013
      Encryption
      		 21818
      Extended Instructions
      		 21163
      Floating Point Maths
      		 51585
      Integer Maths
      		 100772
      Physics
      		 2615
      Prime Numbers
      		 138
      Single Threaded
      		 2357
      String Sorting
      		 51242

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2705
      Database Operations
      		 11535
      Memory Latency
      		 54
      Memory Read Cached
      		 24208
      Memory Read Uncached
      		 12073
      Memory Write
      		 11000

      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.g7.8xlarge 32128 GiB0
      ecs.g7.16xlarge 64256 GiB0

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      ecs.g7.6xlarge FAQs