GPU-12xCPU-128GB-1xL40S by UpCloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | upcloud |
Name | GPU-12xCPU-128GB-1xL40S |
Description | GPU (12 vCPUs, 128 GiB RAM, 1x L40S) |
Family | GPU |
Hw Virt | |
Average Time To Start | 76.67 |
Status | active |
Observed At | 2026-07-25T07:37:15.197908 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Helsinki #2 (FI) / fi-hel2 | 1.0694 USD/h | 1.4221 USD/h |
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 | 12 |
Scalability | 100 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Min | 48 GiB |
GPU Memory Total | 48 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ada Lovelace |
GPU Model | L40S |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 16384 GB/month |
IPv4 | 1 |
CPU and System Topology
Server Description
An accelerated virtual server combining high-capacity system memory with a dedicated forty-eight gigabyte graphics processor for demanding parallel computing workloads.
UpCloud GPU-12xCPU-128GB-1xL40S is a GPU-accelerated virtual server utilizing the KVM hypervisor. It is configured with an x86_64 AMD EPYC 9575F processor providing 12 vCPUs on a shared allocation model, paired with 128.0 GB of system memory. The primary accelerator is a single NVIDIA L40S GPU from the Ada Lovelace family, offering 48 GB of VRAM. This instance does not include local storage. Performance benchmarks indicate top-tier single-core CPU capabilities and strong large-block memory bandwidth. The GPU delivers top-tier text generation speeds for small language models and strong performance for medium-sized models. Given the shared CPU allocation and lack of local storage, this server is optimized for GPU-heavy tasks. It is best suited for machine learning inference, image processing, and text processing workloads where GPU memory capacity is the primary resource constraint.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 41274 |
Compression | 444103 |
Encryption | 21318 |
Extended Instructions | 39684 |
Floating Point Maths | 102431 |
Integer Maths | 102308 |
Physics | 6665 |
Prime Numbers | 402 |
Single Threaded | 4230 |
String Sorting | 60522 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2640 |
Database Operations | 18015 |
Memory Latency | 96 |
Memory Read Cached | 38001 |
Memory Read Uncached | 35203 |
Memory Write | 35275 |
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
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| GPU-8xCPU-64GB-1xL4 | 8 | 64 GiB | 1 |
| GPU-8xCPU-64GB-1xL40S | 8 | 64 GiB | 1 |
| GPU-12xCPU-128GB-1xL4 | 12 | 128 GiB | 1 |
| GPU-12xCPU-240GB-1xH100 | 12 | 240 GiB | 1 |
| GPU-12xCPU-128GB-2xL4 | 12 | 128 GiB | 2 |
| GPU-12xCPU-128GB-2xL40S | 12 | 128 GiB | 2 |
| GPU-16xCPU-192GB-1xL4 | 16 | 192 GiB | 1 |
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