GPU-12xCPU-128GB-2xL4 by UpCloud

GPU-12xCPU-128GB-2xL4 is a GPU (12 vCPUs, 128 GiB RAM, 2x L4) server offered by UpCloud with 12 vCPUs, 128 GiB of memory and 0 GB of storage.
12 vCPU
128 GiB Memory
2 GPU
Spare SCore
45,720
(All-cores)
3,942
(Single-core)

Specifications

Server Metadata

Vendor ID
upcloud
Name
GPU-12xCPU-128GB-2xL4
Description
GPU (12 vCPUs, 128 GiB RAM, 2x L4)
Family
GPU
Hw Virt
Status
inactive
Observed At
2026-10-08T15:09:04.918792

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Shared
CPU Cores
12
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
768 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
6 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
11.6
Scalability
96.67

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 GiB
GPU
GPU Count
2
GPU Memory Min
24 GiB
GPU Memory Total
48 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ada Lovelace
GPU Model
L4
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      24576 GB/month
      IPv4
      1

      CPU and System Topology

      Server Description

      A dual-GPU accelerated virtual server featuring AMD EPYC processors and high memory density for parallel computing and machine learning inference.

      GPU AcceleratedMemory OptimizedCompute Optimized

      The UpCloud GPU-12xCPU-128GB-2xL4 is a KVM-based, GPU-accelerated server designed for memory-intensive and parallel computing workloads. It is configured with an AMD EPYC 9575F processor offering 12 shared vCPUs at 2.0 GHz, 128.0 GB of system memory, and dual NVIDIA L4 Ada Lovelace GPUs with a total of 48 GB VRAM. No local storage is included. Benchmarks show top-tier single-core CPU performance, with stress-ng single-core and single-threaded compression tests scoring in the top 10%. Additionally, it delivers top-tier text generation speeds of 349.81 tokens/sec for small LLM models. Multi-core CPU and memory bandwidth metrics remain in the average tier. This server is well-suited for machine learning inference, graphics rendering, and data science workloads that leverage dual-GPU acceleration and high system memory density.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.8Score
      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) 3,754,438 ops/sec 2,029,678 ops/sec 1.9 50.00% 50.00% +38.00%
      Redis RPS (pipeline=16, SET) 25,663,000 ops/sec 12,408,146 ops/sec 2.2 20.00% 20.00% +17.00%
      PassMark Memory Mark (composite) 2,438 2,417 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 159,583 MB/sec 108,374 MB/sec 1.5 10.00% 10.00% +4.10%
      PassMark single-thread CPU 3,923 Mops/s 2,365 Mops/s 1.6 10.00% 10.00% +4.80%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 35207
      Compression
      		 383295
      Encryption
      		 19704
      Extended Instructions
      		 33232
      Floating Point Maths
      		 88756
      Integer Maths
      		 78648
      Physics
      		 5548
      Prime Numbers
      		 300
      Single Threaded
      		 3923
      String Sorting
      		 51535

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2438
      Database Operations
      		 14408
      Memory Latency
      		 102
      Memory Read Cached
      		 33231
      Memory Read Uncached
      		 31574
      Memory Write
      		 31125

      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-1xL40S 864 GiB1
      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

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      GPU-12xCPU-128GB-2xL4 FAQs