GPU-8xCPU-64GB-1xL40S by UpCloud

GPU-8xCPU-64GB-1xL40S is a GPU (8 vCPUs, 64 GiB RAM, 1x L40S) server offered by UpCloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.929 USD per hour.
8 vCPU
64 GiB Memory
1 GPU
Spare SCore
33,594
(All-cores)
4,185
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
GPU-8xCPU-64GB-1xL40S
Description
GPU (8 vCPUs, 64 GiB RAM, 1x L40S)
Family
GPU
Hw Virt
Average Time To Start
55.33
Status
active
Observed At
2026-10-23T15:50:24.198459

Availability

REGION / IDSPOTONDEMAND
Helsinki #2 (FI) / fi-hel2
0.929 USD/h 1.2442 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
8
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9575F
CPU L1D Cache
64 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
16 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, rep_good, nopl, cpuid, extd_apicid, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, perfctr_core, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, movdiri, movdir64b, avx512_vp2intersect, arch_capabilities
Ecpus
8
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 GiB
ACCELERATORS
Accelerator Count
1
Accelerator Memory Min
48 GiB
Accelerator Memory Total
48 GiB
Accelerator Type
GPU
Accelerator Manufacturer
NVIDIA
Accelerator Family
Ada Lovelace
Accelerator Model
L40S
Accelerators
  • NVIDIA Ada Lovelace NVIDIA L40S (Memory amount: 46068, Firmware version: 595.71.05, BIOS version: 95.02.66.00.02, Clock rate: 2520)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    12288 GB/month
    IPv4
    1

    CPU and System Topology

    Server Description

    An accelerated virtual server pairing shared AMD EPYC processors with an NVIDIA L40S GPU for memory-intensive machine learning and graphics workloads.

    GPU AcceleratedMemory OptimizedCompute Optimized

    The UpCloud GPU-8xCPU-64GB-1xL40S is a KVM-based virtual server featuring an AMD EPYC 9575F processor with 8 shared vCPUs, 64.0 GB of RAM, and a single NVIDIA L40S GPU with 48 GB of VRAM. It lacks local storage but includes one public IPv4 address. Benchmarks show top-tier single-core CPU performance and strong memory performance, though multi-core CPU metrics remain average. For LLM workloads, it excels at text generation for smaller models, though prompt processing for 70B models is weak. This server is qualitatively cost-efficient for GPU-heavy tasks that do not require dedicated CPU cores, making it suitable for medium-scale LLM inference, image processing, and GPU-accelerated data science.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    1.9Score
    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) 3,275,637 ops/sec 1,919,289 ops/sec 1.7 50.00% 50.00% +30.00%
    Redis RPS (pipeline=16, SET) 21,210,657 ops/sec 11,728,058 ops/sec 1.8 20.00% 20.00% +12.00%
    PassMark Memory Mark (composite) 2,959 2,416 1.2 10.00% 10.00% +1.80%
    Memory bandwidth (read, 16 MB ~ L3) 561,315 MB/sec 108,466 MB/sec 5.1 10.00% 10.00% +18.00%
    PassMark single-thread CPU 4,223 Mops/s 2,365 Mops/s 1.8 10.00% 10.00% +6.10%

    GPU Bandwidth and Latency

    Node (all GPUs)
    Node baseline directional bandwidth
    22.6 GB/s
    Node GPU-to-host bandwidth
    26.4 GB/s
    Node host-to-GPU bandwidth
    26.8 GB/s
    Single GPU slot
    Per-GPU GPU-to-host bandwidth
    26.4 GB/s
    Per-GPU host-to-GPU bandwidth
    26.8 GB/s
    Per-GPU host-device latency
    594 ns
    Benchmark Environment
    Driver Version
    595.71.05
    CUDA Runtime Version
    13.2
    nvbandwidth Version
    v0.8
    GPU Count
    1
    P2P Supported
    No
    Efficiency
    SM/CE copy efficiency
    1.00

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 2,851

    Geekbench Multi-Core

    Score: 13,836

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    28,779
    Compression
    296,377
    Encryption
    14,198
    Extended Instructions
    26,656
    Floating Point Maths
    68,264
    Integer Maths
    68,180
    Physics
    4,460
    Prime Numbers
    268
    Single Threaded
    4,223
    String Sorting
    39,898

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,959
    Database Operations
    12,008
    Memory Latency
    80
    Memory Read Cached
    37,895
    Memory Read Uncached
    35,414
    Memory Write
    34,095

    Stress-ng Stressors

    CPU integerSingleMultiScaling
    atomic
    552.1 436.16 0.79×
    bitops
    247,620 2,009,399 8.11×
    branch
    194,009 1,545,438 7.97×
    funccall
    970.07 7,844 8.09×
    funcret
    30,732 241,133 7.85×
    hash
    240,414 1,920,640 7.99×
    intmath
    87,605 705,348 8.05×
    nop
    475,298 3,751,638 7.89×
    prime
    676,848 5,306,626 7.84×
    rotate
    156,017 1,252,533 8.03×
    str
    1,692,792 13,163,841 7.78×
    wcs
    1,171,695 8,821,152 7.53×
    CryptographySingleMultiScaling
    crypt
    5,840 46,790 8.01×
    CompressionSingleMultiScaling
    jpeg
    1,389 10,846 7.81×
    zlib
    105.32 601.51 5.71×
    HypervisorSingleMultiScaling
    clock
    89,444 282,778 3.16×
    clone
    499.25 2,924 5.86×
    context
    9,694 77,591 8.00×
    cpu-sched
    66.89 530.73 7.93×
    eventfd
    77,598 1,715,502 22.11×
    fault
    44,088 148,155 3.36×
    fork
    7,941 52,076 6.56×
    getrandom
    110,341 873,413 7.92×
    hrtimers
    546,890 1,232,565 2.25×
    mprotect
    817,036 4,727,395 5.79×
    mtx
    58,848,534 764,246,051 12.99×
    munmap
    6,307 38,548 6.11×
    null
    1,615,312 12,779,848 7.91×
    pipe
    701,881 8,727,114 12.43×
    priv-instr
    1,511,245 9,253,968 6.12×
    resched
    7,500,934 3,807,311 0.51×
    switch
    103,387 3,901,544 37.74×
    timermix
    367,327 2,800,688 7.62×
    tlb-shootdown
    27,072 85,197 3.15×
    tsc
    987,387 7,868,106 7.97×
    usersyscall
    1,204,816 8,108,222 6.73×
    vdso
    110,129,479 876,974,165 7.96×
    vfork
    50,940 179,105 3.52×
    x86syscall
    20,910,028 168,493,468 8.06×
    yield
    13,850,487 14,122,575 1.02×
    zero
    8,862,454 69,873,299 7.88×
    CPU float/SIMDSingleMultiScaling
    eigen
    19,402 154,425 7.96×
    expmath
    4,464 35,295 7.91×
    fma
    1,740,306 13,787,829 7.92×
    fp
    244.8 1,788 7.30×
    fractal
    9.8 77.8 7.94×
    hyperbolic
    5,991 47,791 7.98×
    logmath
    6,273 49,988 7.97×
    matrix
    10,347 80,582 7.79×
    matrix-3d
    1,666 9,668 5.80×
    monte-carlo
    506.45 3,981 7.86×
    mpfr
    2,681 20,994 7.83×
    powmath
    2,053 16,294 7.94×
    trig
    2,709 21,338 7.88×
    veccmp
    33,564 262,307 7.82×
    vecfp
    2,644 21,375 8.09×
    vecmath
    5,285 41,965 7.94×
    vecshuf
    1,114 8,718 7.83×
    vecwide
    44,596 351,982 7.89×
    AlgorithmsSingleMultiScaling
    bitonicsort
    14 108.8 7.77×
    bsearch
    414.53 3,099 7.48×
    bubblesort
    1.4 11.6 8.29×
    fibsearch
    478.78 3,764 7.86×
    heapsort
    15.4 125.6 8.16×
    hsearch
    14,501 112,154 7.73×
    insertionsort
    17 136 8.00×
    malloc
    5,585,099 23,341,383 4.18×
    mcontend
    163.18 1,310 8.03×
    mergesort
    43.4 342.39 7.89×
    qsort
    30.2 231.6 7.67×
    skiplist
    9,368 74,179 7.92×
    tree
    2.8 22.39 8.00×
    MemorySingleMultiScaling
    cache
    1,353,632 1,381,521 1.02×
    cachehammer
    291,816 2,241,293 7.68×
    cacheline
    70.13 524.6 7.48×
    l1cache
    766.2 5,973 7.80×
    memcpy
    891.17 7,075 7.94×
    memrate
    1.19 7.06 5.93×
    memthrash
    197.13 542.52 2.75×
    ptr-chase
    77,378,380 221,171,902 2.86×
    spinmem
    467.18 20.2 0.04×
    stream
    478.24 10,008 20.93×
    vm
    260,669 292,699 1.12×

    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

    PostgreSQL heavy read-only throughput

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYAccelerators
    GPU-12xCPU-128GB-1xL40S 12128 GiB1
    GPU-12xCPU-128GB-2xL40S 12128 GiB2
    GPU-16xCPU-80GB-1xRTXPRO6000 1680 GiB1
    GPU-16xCPU-192GB-1xL40S 16192 GiB1
    GPU-16xCPU-192GB-2xL40S 16192 GiB2
    GPU-16xCPU-192GB-3xL40S 16192 GiB3
    GPU-20xCPU-256GB-1xL40S 20256 GiB1

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