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GPU-12xCPU-240GB-1xH100 by UpCloud

GPU-12xCPU-240GB-1xH100 is a GPU (12 vCPUs, 240 GiB RAM, 1x H100) server offered by UpCloud with 12 vCPUs, 240 GiB of memory and 0 GB of storage. The pricing starts at 2.0324 USD per hour.
12 vCPU
240 GiB Memory
1 GPU
Spare SCore
26218
(All-cores)
2207
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
GPU-12xCPU-240GB-1xH100
Description
GPU (12 vCPUs, 240 GiB RAM, 1x H100)
Family
GPU
Hw Virt
Average Time To Start
56
Status
active
Observed At
2026-07-22T04:17:00.910585

Availability

REGION / IDSPOTONDEMAND
Helsinki #2 (FI) / fi-hel2
2.0324 USD/h 2.0441 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
12
CPU Speed
2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8462Y+
CPU L1D Cache
32 KiB
CPU L1D Cache Total
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
4 MiB
CPU L2 Cache Total
48 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, arch_perfmon, rep_good, nopl, xtopology, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pdcm, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, cpuid_fault, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, 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, avx_vnni, avx512_bf16, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, waitpkg, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, bus_lock_detect, cldemote, movdiri, movdir64b, fsrm, md_clear, serialize, tsxldtrk, amx_bf16, avx512_fp16, amx_tile, amx_int8, arch_capabilities
Ecpus
11.9
Scalability
99.17

System Resources and Accelerators

MEMORY
Memory Amount
240 GiB
Memory Amount Actual
240 GiB
GPU
GPU Count
1
GPU Memory Min
80 GiB
GPU Memory Total
80 GiB
GPU Manufacturer
NVIDIA
GPU Family
Hopper
GPU Model
H100
GPUs
  • NVIDIA Hopper NVIDIA H100 80GB HBM3 (Memory amount: 81559, Firmware version: 595.71.05, BIOS version: 96.00.DA.00.0C, Clock rate: 1980)
STORAGE
Storage Size
0 GB
Storages
    NETWORK
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    51200 GB/month
    IPv4
    1

    CPU and System Topology

    Server Description

    A high-memory GPU instance featuring an NVIDIA Hopper H100 accelerator, optimized for machine learning inference and data-intensive computing.

    GPU AcceleratedMemory OptimizedCompute Optimized

    UpCloud GPU-12xCPU-240GB-1xH100 is a GPU-accelerated server utilizing the KVM hypervisor and x86_64 architecture. It is configured with an Intel Xeon 8462Y+ processor providing 12 vCPUs on a shared allocation, 240.0 GB of system memory, and a single NVIDIA Hopper H100 GPU with 80 GB of VRAM. No local storage is included. Benchmarks show top-tier performance in LLM inference for small models, reaching 10515.12 tokens/sec for prompt processing, alongside top-tier single-threaded bzip3 decompression. Standard CPU and memory benchmarks fall into the average range. This server is qualitatively cost-efficient for memory-heavy GPU workloads where shared CPU resources are acceptable. It is best suited for machine learning inference, data science, and GPU-accelerated data processing.

    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) 4,192,066 ops/sec 1,896,415 ops/sec 2.21 50.00% 50.00% +48.70%
    Redis RPS (pipeline=16, SET) 23,366,275 ops/sec 11,539,523 ops/sec 2.02 20.00% 20.00% +15.10%
    PassMark Memory Mark (composite) 1,907 2,411 0.791 10.00% 10.00% -2.32%
    Memory bandwidth (read, 16 MB ~ L3) 274,563 MB/sec 107,368 MB/sec 2.56 10.00% 10.00% +9.86%
    PassMark single-thread CPU 3,306 Mops/s 2,363 Mops/s 1.4 10.00% 10.00% +3.42%

    Memory Bandwidth

    Compression

    OpenSSL

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    32079
    Compression
    327649
    Encryption
    18440
    Extended Instructions
    34724
    Floating Point Maths
    87319
    Integer Maths
    74446
    Physics
    4846
    Prime Numbers
    252
    Single Threaded
    3306
    String Sorting
    44840

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    1907
    Database Operations
    12844
    Memory Latency
    95
    Memory Read Cached
    29601
    Memory Read Uncached
    8603
    Memory Write
    7334

    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
    GPU-8xCPU-64GB-1xL4 864 GiB1
    GPU-8xCPU-64GB-1xL40S 864 GiB1
    GPU-12xCPU-128GB-1xL4 12128 GiB1
    GPU-12xCPU-128GB-1xL40S 12128 GiB1
    GPU-12xCPU-128GB-2xL4 12128 GiB2
    GPU-12xCPU-128GB-2xL40S 12128 GiB2
    GPU-16xCPU-192GB-1xL4 16192 GiB1

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