c3d-standard-16-lssd by Google Cloud Platform

c3d-standard-16-lssd is a 16 vCPUs, 64 GB RAM, 1 local SSD server offered by Google Cloud Platform with 16 vCPUs, 64 GiB of memory and 402 GB of storage. The pricing starts at 0.1511 USD per hour.
16 vCPU
64 GiB Memory
402 GB Storage
Spare SCore
22,952
(All-cores)
2,864
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1730016
Name
c3d-standard-16-lssd
Description
16 vCPUs, 64 GB RAM, 1 local SSD
Family
c3d
Hw Virt
Average Time To Start
17
Status
active
Observed At
2026-09-06T07:38:38.587830

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.1531 USD/h 0.7264 USD/h
Moncks Corner (US) / us-east1
0.1531 USD/h 0.7264 USD/h
Ashburn (US) / us-east4
0.3135 USD/h 0.7264 USD/h
Mumbai (IN) / asia-south1
0.255 USD/h 0.7554 USD/h
Eemshaven (NL) / europe-west4
0.4171 USD/h 0.7627 USD/h
Queretaro (MX) / northamerica-south1
0.1865 USD/h 0.7918 USD/h
St. Ghislain (BE) / europe-west1
0.2155 USD/h 0.7998 USD/h
Hamina (FI) / europe-north1
0.371 USD/h 0.7998 USD/h
Las Vegas (US) / us-west4
0.1511 USD/h 0.8181 USD/h
Frankfurt (DE) / europe-west3
0.4876 USD/h 0.8571 USD/h
Jurong West (SG) / asia-southeast1
0.4436 USD/h 0.8961 USD/h

Processor

vCPUs
16
CPU Allocation
Dedicated
CPU Cores
8
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9B14
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
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, 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, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    402 GB
    Storage Type
    nvme ssd
    Storages
    • 402 GB nvme ssd
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    CPU and System Topology

    Server Description

    An AMD EPYC general-purpose instance featuring dedicated compute cores, local NVMe SSD storage, and strong single-core processing capabilities.

    General PurposeStorage & Database

    Google Cloud Platform c3d-standard-16-lssd is a general-purpose server configured with 16 dedicated vCPUs from an AMD EPYC 9B14 processor, 64 GB of RAM, and a 402 GB local NVMe SSD. Operating on the x86_64 architecture, this instance delivers strong single-core CPU performance and text processing capabilities, ranking in the top 25% of benchmarks. Multi-core execution, database operations, and web serving throughput remain average. A key hardware tradeoff is its uncached memory bandwidth, which performs poorly under large-block read and write tests. Lacking a GPU, it is not designed for heavy graphics or large-scale AI workloads, as demonstrated by poor performance on 70B LLM prompt processing. It is best suited for general-purpose applications, software compilation, and database tasks that leverage its local NVMe storage.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.844Score
    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) 1,568,184 ops/sec 1,917,397 ops/sec 0.818 50.00% 50.00% -9.56%
    Redis RPS (pipeline=16, SET) 11,792,140 ops/sec 11,681,410 ops/sec 1.01 20.00% 20.00% +0.20%
    PassMark Memory Mark (composite) 2,649 2,418 1.1 10.00% 10.00% +0.96%
    Memory bandwidth (read, 16 MB ~ L3) 42,562 MB/sec 108,140 MB/sec 0.394 10.00% 10.00% -8.89%
    PassMark single-thread CPU 2,690 Mops/s 2,365 Mops/s 1.14 10.00% 10.00% +1.32%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,889

    Geekbench Multi-Core

    Score: 10,113

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 24357
    Compression
    		 287610
    Encryption
    		 17921
    Extended Instructions
    		 20386
    Floating Point Maths
    		 40533
    Integer Maths
    		 70761
    Physics
    		 2180
    Prime Numbers
    		 122
    Single Threaded
    		 2690
    String Sorting
    		 38074

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2649
    Database Operations
    		 7182
    Memory Latency
    		 69
    Memory Read Cached
    		 25775
    Memory Read Uncached
    		 24963
    Memory Write
    		 18608

    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
    c3d-highcpu-4 48 GiB0
    c3d-standard-4 416 GiB0
    c3d-highmem-4 432 GiB0
    c3d-highcpu-8 816 GiB0
    c3d-standard-8 832 GiB0
    c3d-standard-8-lssd 832 GiB0
    c3d-highmem-8 864 GiB0

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    c3d-standard-16-lssd FAQs