ecs.gn5-c8g1.4xlarge by Alibaba Cloud

ecs.gn5-c8g1.4xlarge is a ecs.gn5 family (16 vCPUs, 120 GiB RAM, 944 GB ssd storage, 2xP100 16384 GiB VRAM) server offered by Alibaba Cloud with 16 vCPUs, 120 GiB of memory and 944 GB of storage. The pricing starts at 0.3071 USD per hour.
16 vCPU
120 GiB Memory
944 GB Storage
2 GPU
Spare SCore
9,532
(All-cores)
954
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.gn5-c8g1.4xlarge
Description
ecs.gn5 family (16 vCPUs, 120 GiB RAM, 944 GB ssd storage, 2xP100 16384 GiB VRAM)
Family
ecs.gn5
Hw Virt
Average Time To Start
17
Status
active
Observed At
2026-09-09T03:26:10.479790

Availability

REGION / IDSPOTONDEMAND
Virginia (US) / us-east-1
0.3362 USD/h 3.735 USD/h
Frankfurt (DE) / eu-central-1
0.3884 USD/h 3.884 USD/h
Silicon Valley (US) / us-west-1
0.3697 USD/h 4.108 USD/h
Zhangjiakou (CN) / cn-zhangjiakou
0.3488 USD/h 4.36 USD/h
Tokyo (JP) / ap-northeast-1
0.3071 USD/h 4.387 USD/h
Beijing (CN) / cn-beijing
- 4.84 USD/h
Hangzhou (CN) / cn-hangzhou
- 4.84 USD/h
Shanghai (CN) / cn-shanghai
- 4.84 USD/h
Shenzhen (CN) / cn-shenzhen
- 4.84 USD/h
Ulanqab (CN) / cn-wulanchabu
- 4.84 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
256 KiB
CPU L2 Cache Total
2 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
10
Scalability
62.5

System Resources and Accelerators

MEMORY
Memory Amount
120 GiB
Memory Amount Actual
120 GiB
GPU
GPU Count
2
GPU Memory Min
16 GiB
GPU Memory Total
32 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)
  • NVIDIA Pascal Tesla P100-PCIE-16GB (Memory amount: 16384, BIOS version: 86.00.41.00.06, Clock rate: 1328)
STORAGE
Storage Size
944 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

    An x86_64 server featuring dual hardware accelerators, dedicated physical cores, and local SSD storage for parallelized workloads.

    GPU AcceleratedStorage & Database

    Alibaba Cloud ecs.gn5-c8g1.4xlarge is an x86_64 server featuring 16 dedicated Intel Xeon E5-2682 v4 physical cores running at 2.5 GHz, 120.0 GB of RAM, and a bundled 944 GB local SSD. For hardware acceleration, it includes two NVIDIA Pascal P100 GPUs with a total of 32 GB VRAM. Benchmark results reveal a significant performance tradeoff: single-core CPU performance and single-threaded compression tasks rank in the bottom 10% and 25% respectively, whereas multi-core CPU performance, memory bandwidth, and redis operations achieve average tier results. This hardware profile is qualitatively cost-efficient for legacy GPU-accelerated workloads, parallel data processing, and database operations that benefit from local SSD storage and dual-GPU configurations rather than high single-core CPU performance.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.587Score
    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.Partial coverage: missing component benchmark(s): PassMark Memory Mark (composite), PassMark single-thread CPU.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 1,148,876 ops/sec 1,917,397 ops/sec 0.599 50.00% 62.50% -27.40%
    Redis RPS (pipeline=16, SET) 6,819,829 ops/sec 11,681,410 ops/sec 0.584 20.00% 25.00% -12.60%
    PassMark Memory Mark (composite) — 2,418 — 10.00% 0.00% —
    Memory bandwidth (read, 16 MB ~ L3) 57,604 MB/sec 108,140 MB/sec 0.533 10.00% 12.50% -7.56%
    PassMark single-thread CPU — 2,365 Mops/s — 10.00% 0.00% —

    Memory Bandwidth

    Compression

    OpenSSL

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

    Alternatives

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    ecs.gn5-c28g1.14xlarge 56224 GiB2

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    ecs.gn5-c8g1.4xlarge FAQs