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 0.1856 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
2026-10-21T14:50:16.085762

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.1904 USD/h 0.7675 USD/h
Moncks Corner (US) / us-east1
0.1904 USD/h 0.7675 USD/h
Ashburn (US) / us-east4
0.3539 USD/h 0.7716 USD/h
Mumbai (IN) / asia-south1
0.2338 USD/h 0.8048 USD/h
Eemshaven (NL) / europe-west4
0.4606 USD/h 0.8079 USD/h
Queretaro (MX) / northamerica-south1
0.1856 USD/h 0.8366 USD/h
St. Ghislain (BE) / europe-west1
0.2481 USD/h 0.8409 USD/h
Hamina (FI) / europe-north1
0.3618 USD/h 0.845 USD/h
Las Vegas (US) / us-west4
0.1905 USD/h 0.8633 USD/h
Frankfurt (DE) / europe-west3
0.5437 USD/h 0.9064 USD/h
Jurong West (SG) / asia-southeast1
0.5363 USD/h 0.9413 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
50

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    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

    Server Description

    A balanced general-purpose instance featuring dedicated AMD EPYC processors and high-speed local NVMe storage for database and web serving workloads.

    General PurposeStorage & Database

    Google Cloud Platform c3d-standard-16-lssd is an x86_64 general-purpose instance featuring 16 dedicated vCPUs from an AMD EPYC 9B14 processor, 64.0 GB of RAM, and a bundled 402 GB local NVMe SSD. It delivers strong single-core CPU and text processing performance, alongside average multi-core and database execution capabilities. However, the instance exhibits performance tradeoffs, particularly with poor large-block uncached memory write bandwidth and poor large-model LLM inference speeds. Qualitatively, it provides a cost-effective balance of dedicated compute and fast local storage. This configuration is well-suited for database operations, web serving, and general-purpose workloads, though it is less optimal for memory-intensive or large-scale AI tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.85Score
    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 1,918,343 ops/sec 0.84 50.00% 50.00% -8.30%
    Redis RPS (pipeline=16, SET) 11,792,140 ops/sec 11,704,734 ops/sec 1 20.00% 20.00% 0.00%
    PassMark Memory Mark (composite) 2,649 2,416 1.1 10.00% 10.00% +0.96%
    Memory bandwidth (read, 16 MB ~ L3) 42,562 MB/sec 108,420 MB/sec 0.39 10.00% 10.00% -9.00%
    PassMark single-thread CPU 2,690 Mops/s 2,365 Mops/s 1.1 10.00% 10.00% +0.96%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,889

    Geekbench Multi-Core

    Score: 10,113

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 24,357
    Compression
    		 287,610
    Encryption
    		 17,921
    Extended Instructions
    		 20,386
    Floating Point Maths
    		 40,533
    Integer Maths
    		 70,761
    Physics
    		 2,180
    Prime Numbers
    		 122
    Single Threaded
    		 2,690
    String Sorting
    		 38,074

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,649
    Database Operations
    		 7,182
    Memory Latency
    		 69
    Memory Read Cached
    		 25,775
    Memory Read Uncached
    		 24,963
    Memory Write
    		 18,608

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    		 563.17 302.94 0.54×
    bitops
    		 148,271 1,438,263 9.70×
    branch
    		 197,222 2,830,787 14.35×
    funccall
    		 573.05 6,375 11.13×
    funcret
    		 19,431 228,280 11.75×
    hash
    		 147,150 1,774,437 12.06×
    intmath
    		 62,538 662,161 10.59×
    nop
    		 584,370 4,741,904 8.11×
    prime
    		 451,167 4,777,918 10.59×
    rotate
    		 81,976 657,655 8.02×
    str
    		 985,160 10,405,295 10.56×
    wcs
    		 638,821 6,125,648 9.59×
    CryptographySingleMultiScaling
    crypt
    		 3,402 29,976 8.81×
    CompressionSingleMultiScaling
    jpeg
    		 830.79 9,140 11.00×
    zlib
    		 61.38 714.79 11.65×
    HypervisorSingleMultiScaling
    clock
    		 16,298 178,704 10.96×
    clone
    		 309.07 1,976 6.39×
    context
    		 1,725 20,636 11.96×
    cpu-sched
    		 73.1 1,001 13.69×
    eventfd
    		 46,056 472,051 10.25×
    fault
    		 10,180 120,377 11.83×
    fork
    		 4,548 43,616 9.59×
    getrandom
    		 47,607 498,545 10.47×
    hrtimers
    		 261,493 1,442,088 5.51×
    mprotect
    		 1,238,083 2,363,821 1.91×
    mtx
    		 41,923,431 788,932,415 18.82×
    munmap
    		 2,976 31,430 10.56×
    null
    		 182,720 2,108,878 11.54×
    pipe
    		 932,836 5,689,884 6.10×
    priv-instr
    		 320,316 3,946,296 12.32×
    resched
    		 2,836,269 532,578 0.19×
    switch
    		 104,169 2,293,047 22.01×
    timermix
    		 153,806 1,822,839 11.85×
    tlb-shootdown
    		 15,038 51,390 3.42×
    tsc
    		 730,114 11,442,274 15.67×
    usersyscall
    		 224,287 2,755,155 12.28×
    vdso
    		 89,066,650 1,165,247,029 13.08×
    vfork
    		 34,072 253,416 7.44×
    x86syscall
    		 2,122,558 24,109,570 11.36×
    yield
    		 7,248,818 7,356,819 1.01×
    zero
    		 1,620,277 18,963,895 11.70×
    CPU float/SIMDSingleMultiScaling
    eigen
    		 15,360 129,526 8.43×
    expmath
    		 2,189 30,417 13.89×
    fma
    		 854,362 11,212,932 13.12×
    fp
    		 233.94 2,871 12.27×
    fractal
    		 7 94.01 13.43×
    hyperbolic
    		 3,543 42,563 12.01×
    logmath
    		 4,237 48,558 11.46×
    matrix
    		 4,583 43,160 9.42×
    matrix-3d
    		 233.89 1,195 5.11×
    monte-carlo
    		 106.7 1,200 11.25×
    mpfr
    		 1,560 16,000 10.25×
    powmath
    		 1,222 15,741 12.88×
    trig
    		 1,739 21,214 12.20×
    veccmp
    		 17,687 184,838 10.45×
    vecfp
    		 1,677 19,864 11.84×
    vecmath
    		 3,724 48,173 12.94×
    vecshuf
    		 592.04 5,858 9.89×
    vecwide
    		 26,576 284,952 10.72×
    AlgorithmsSingleMultiScaling
    bitonicsort
    		 9.6 87 9.06×
    bsearch
    		 286.43 3,181 11.10×
    bubblesort
    		 0.8 9.6 12.00×
    fibsearch
    		 353.05 3,453 9.78×
    heapsort
    		 10.2 112 10.98×
    hsearch
    		 9,530 85,707 8.99×
    insertionsort
    		 12 99.2 8.27×
    malloc
    		 3,715,794 38,419,082 10.34×
    mcontend
    		 237.02 3,364 14.19×
    mergesort
    		 31.6 376.79 11.92×
    qsort
    		 20.2 233.39 11.55×
    skiplist
    		 6,497 84,710 13.04×
    tree
    		 1.8 12.79 7.11×
    MemorySingleMultiScaling
    cache
    		 836,361 2,363,848 2.83×
    cachehammer
    		 288,727 4,015,613 13.91×
    cacheline
    		 73.55 1,225 16.66×
    l1cache
    		 250.88 2,176 8.68×
    memcpy
    		 416.05 3,413 8.20×
    memrate
    		 2.73 3.03 1.11×
    memthrash
    		 129.66 353.13 2.72×
    ptr-chase
    		 43,690,134 131,229,763 3.00×
    spinmem
    		 255.99 802.74 3.14×
    stream
    		 116.57 2,237 19.19×
    vm
    		 59,782 292,932 4.90×

    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

    INSTANCEvCPUsMEMORYAccelerators
    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