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ecs.gn5-c28g1.7xlarge by Alibaba Cloud

ecs.gn5-c28g1.7xlarge is a ecs.gn5 family (28 vCPUs, 112 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM) server offered by Alibaba Cloud with 28 vCPUs, 112 GiB of memory and 472 GB of storage. The pricing starts at 0.2897 USD per hour.
28 vCPU
112 GiB Memory
472 GB Storage
1 GPU
Spare SCore
16691
(All-cores)
954
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5-c28g1.7xlarge
Description
ecs.gn5 family (28 vCPUs, 112 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM)
Family
ecs.gn5
Hw Virt
Status
active
Observed At
2026-07-25T19:47:22.735318

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.2897 USD/h 2.897 USD/h
Hong Kong (HK) / cn-hongkong
- 3.207 USD/h
Jakarta (ID) / ap-southeast-5
0.3376 USD/h 3.376 USD/h
Singapore (SG) / ap-southeast-1
- 3.376 USD/h
Frankfurt (DE) / eu-central-1
- 3.477 USD/h
Shanghai (CN) / cn-shanghai
- 3.754 USD/h
Shenzhen (CN) / cn-shenzhen
- 3.754 USD/h

Processor

vCPUs
28
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
28
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2682 v4
CPU L1D Cache
32 KiB
CPU L1D Cache Total
448 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
448 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
40 MiB
CPU L3 Cache Total
40 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, rdseed, adx, smap, xsaveopt, arat
Ecpus
17.5
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
112 GiB
Memory Amount Actual
112 GiB
GPU
GPU Count
1
GPU Memory Min
16 GiB
GPU Memory Total
16 GiB
GPU Manufacturer
NVIDIA
GPU Family
Pascal
GPU Model
P100
GPUs
  • NVIDIA Pascal Tesla P100-PCIE-16GB (Memory amount: 16384, BIOS version: 86.00.41.00.06, Clock rate: 1328)
STORAGE
Storage Size
472 GB
Storage Type
ssd
Storages
    NETWORK
    Network Speed Baseline
    5 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A GPU-accelerated server combining dedicated Intel Xeon processors, local SSD storage, and an NVIDIA P100 GPU for parallel computing workloads.

    GPU AcceleratedGeneral PurposeStorage & Database

    Alibaba Cloud ecs.gn5-c28g1.7xlarge is a GPU-accelerated server instance featuring 28 dedicated Intel Xeon E5-2682 v4 physical cores at 2.5 GHz, 112 GB of RAM, and a single NVIDIA P100 GPU with 16 GB of VRAM. It includes 472 GB of local SSD storage and a 5 Gbps baseline network bandwidth. While single-core CPU benchmarks place this instance in the bottom 10%, its multi-core performance and memory bandwidth are average. Notably, the instance achieves top-tier performance in LLM inference prompt processing and text generation for medium-sized models. This hardware profile offers a qualitatively cost-effective option for legacy GPU workloads, parallel database operations, and scientific computing where multi-threaded execution and GPU acceleration are prioritized over single-core speed.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.971Score
    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) 2,167,243 ops/sec 1,896,415 ops/sec 1.14 50.00% 50.00% +6.77%
    Redis RPS (pipeline=16, SET) 12,055,576 ops/sec 11,539,523 ops/sec 1.04 20.00% 20.00% +0.79%
    PassMark Memory Mark (composite) 1,938 2,411 0.804 10.00% 10.00% -2.16%
    Memory bandwidth (read, 16 MB ~ L3) 59,254 MB/sec 107,368 MB/sec 0.552 10.00% 10.00% -5.77%
    PassMark single-thread CPU 1,864 Mops/s 2,363 Mops/s 0.789 10.00% 10.00% -2.34%

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 19899
    Compression
    		 319053
    Encryption
    		 7109
    Extended Instructions
    		 15215
    Floating Point Maths
    		 46275
    Integer Maths
    		 73343
    Physics
    		 1534
    Prime Numbers
    		 93
    Single Threaded
    		 1864
    String Sorting
    		 45365

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1938
    Database Operations
    		 7805
    Memory Latency
    		 69
    Memory Read Cached
    		 20960
    Memory Read Uncached
    		 7309
    Memory Write
    		 6277

    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.gn5-c4g1.xlarge 430 GiB1
    ecs.gn5-c8g1.2xlarge 860 GiB1
    ecs.gn5-c4g1.2xlarge 860 GiB2
    ecs.gn5-c8g1.4xlarge 16120 GiB2
    ecs.gn5-c8g1.8xlarge 32240 GiB4
    ecs.gn5-c8g1.14xlarge 54480 GiB8
    ecs.gn5-c28g1.14xlarge 56224 GiB2

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    ecs.gn5-c28g1.7xlarge FAQs