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ecs.gn5-c8g1.2xlarge by Alibaba Cloud

ecs.gn5-c8g1.2xlarge is a ecs.gn5 family (8 vCPUs, 60 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM) server offered by Alibaba Cloud with 8 vCPUs, 60 GiB of memory and 472 GB of storage. The pricing starts at 0.1867 USD per hour.
8 vCPU
60 GiB Memory
472 GB Storage
1 GPU
Spare SCore
4765
(All-cores)
954
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5-c8g1.2xlarge
Description
ecs.gn5 family (8 vCPUs, 60 GiB RAM, 472 GB ssd storage, 1xP100 16384 GiB VRAM)
Family
ecs.gn5
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.236615

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.1867 USD/h 1.867 USD/h
Frankfurt (DE) / eu-central-1
0.2913 USD/h 1.942 USD/h
Hong Kong (HK) / cn-hongkong
1.0335 USD/h 2.067 USD/h
Jakarta (ID) / ap-southeast-5
0.3264 USD/h 2.176 USD/h
Singapore (SG) / ap-southeast-1
1.088 USD/h 2.176 USD/h
Tokyo (JP) / ap-northeast-1
0.2193 USD/h 2.193 USD/h
Beijing (CN) / cn-beijing
0.242 USD/h 2.42 USD/h
Hohhot (CN) / cn-huhehaote
0.242 USD/h 2.42 USD/h
Shenzhen (CN) / cn-shenzhen
0.2904 USD/h 2.42 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
0.3872 USD/h 2.42 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.42 USD/h
Shanghai (CN) / cn-shanghai
- 2.42 USD/h
Ulanqab (CN) / cn-wulanchabu
- 2.42 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
1 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
5
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
60 GiB
Memory Amount Actual
60 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
    3 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    A cost-effective GPU-accelerated instance featuring dedicated Intel Xeon processors and an NVIDIA P100 GPU for efficient model inference.

    GPU AcceleratedGeneral Purpose

    Alibaba Cloud ecs.gn5-c8g1.2xlarge is a GPU-accelerated instance designed for workloads requiring dedicated hardware acceleration. Powered by an Intel Xeon E5-2682 v4 processor, it features 8 dedicated vCPUs, 60.0 GB of RAM, and a bundled 472 GB SSD. Acceleration is driven by a single NVIDIA Pascal P100 GPU with 16 GB of VRAM. While CPU-bound benchmarks, such as stress-ng and Passmark, place this instance in the lower performance tiers, its GPU capabilities excel in LLM inference, achieving top-tier results for prompt processing and text generation on 7B models. This hardware profile makes the instance a cost-effective choice for GPU-centric tasks, though it presents a tradeoff in raw CPU compute power. It is highly suited for machine learning inference, model prototyping, and GPU-accelerated data processing.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.382Score
    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) 605,514 ops/sec 1,896,415 ops/sec 0.319 50.00% 50.00% -43.50%
    Redis RPS (pipeline=16, SET) 3,634,241 ops/sec 11,539,523 ops/sec 0.315 20.00% 20.00% -20.60%
    PassMark Memory Mark (composite) 1,750 2,411 0.726 10.00% 10.00% -3.15%
    Memory bandwidth (read, 16 MB ~ L3) 37,727 MB/sec 107,368 MB/sec 0.351 10.00% 10.00% -9.94%
    PassMark single-thread CPU 1,874 Mops/s 2,363 Mops/s 0.793 10.00% 10.00% -2.29%

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 6724
    Compression
    		 94413
    Encryption
    		 2028
    Extended Instructions
    		 4277
    Floating Point Maths
    		 13217
    Integer Maths
    		 20889
    Physics
    		 790
    Prime Numbers
    		 54
    Single Threaded
    		 1874
    String Sorting
    		 13282

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1750
    Database Operations
    		 2259
    Memory Latency
    		 72
    Memory Read Cached
    		 20953
    Memory Read Uncached
    		 6730
    Memory Write
    		 6113

    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-c4g1.2xlarge 860 GiB2
    ecs.gn5-c8g1.4xlarge 16120 GiB2
    ecs.gn5-c28g1.7xlarge 28112 GiB1
    ecs.gn5-c8g1.8xlarge 32240 GiB4
    ecs.gn5-c8g1.14xlarge 54480 GiB8
    ecs.gn5-c28g1.14xlarge 56224 GiB2

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    ecs.gn5-c8g1.2xlarge FAQs