a10-45 by OVHcloud
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | ovh |
Name | a10-45 |
Description | Cloud GPU (30 vCPUs, 42 GiB RAM, 400 GB SSD, 1xA10 24 GiB VRAM) |
Family | Cloud GPU |
Hw Virt | |
Average Time To Start | 69 |
Status | active |
Observed At | 2026-09-16T12:53:33.073818 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
GRA11 (FR) / GRA11 | - | 0.8768 USD/h |
GRA9 (FR) / GRA9 | - | 0.8768 USD/h |
Processor
vCPUs | 30 |
Hypervisor | KVM |
CPU Allocation | Dedicated |
CPU Cores | 30 |
CPU Speed | 3.3 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | AMD |
CPU Family | EPYC |
CPU Model | 9554 |
CPU L1D Cache | 64 KiB |
CPU L1D Cache Total | 2 MiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 2 MiB |
CPU L2 Cache | 512 KiB |
CPU L2 Cache Total | 15 MiB |
CPU L3 Cache | 16 MiB |
CPU L3 Cache Total | 480 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, 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, svm, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, perfctr_core, 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, npt, lbrv, nrip_save, tsc_scale, vmcb_clean, pausefilter, pfthreshold, v_vmsave_vmload, vgif, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, overflow_recov, succor, fsrm, arch_capabilities |
Ecpus | 30.1 |
Scalability | 100.33 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 42 GiB |
Memory Amount Actual | 44 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Min | 24 GiB |
GPU Memory Total | 24 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A10 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 400 GB |
Storage Type | ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed Baseline | 8 Gbps |
Network Speed Max | 8 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 1 |
CPU and System Topology
Server Description
A dedicated AMD EPYC server with NVIDIA A10 acceleration, delivering strong database performance and optimized small-to-medium LLM inference.
OVHcloud a10-45 is a GPU-accelerated server featuring 30 dedicated AMD EPYC 9554 physical cores running at 3.3 GHz, 42.0 GB of RAM, a 400 GB local SSD, and a single NVIDIA A10 GPU with 24 GB of VRAM. Operating on the x86_64 architecture under a KVM hypervisor, this instance delivers strong CPU and database performance, with stress-ng and Passmark scores placing in the top 25%. The server excels in small-to-medium large language model inference, achieving top 10% speeds for 135M and 7B models. However, text generation for 70B models is a key tradeoff, falling into the bottom 10% due to VRAM limitations. With 8 Gbps network bandwidth and dedicated compute resources, the a10-45 is highly suited for GPU-accelerated workloads, software compilation, and database operations.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 60982 |
Compression | 800427 |
Encryption | 39850 |
Extended Instructions | 75798 |
Floating Point Maths | 161881 |
Integer Maths | 183632 |
Physics | 10281 |
Prime Numbers | 599 |
Single Threaded | 2932 |
String Sorting | 116494 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2897 |
Database Operations | 28598 |
Memory Latency | 71 |
Memory Read Cached | 27913 |
Memory Read Uncached | 26773 |
Memory Write | 25380 |
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
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| rtx5000-28 | 4 | 28 GiB | 1 |
| t1-le-45 | 8 | 45 GiB | 1 |
| rtx5000-56 | 8 | 56 GiB | 2 |
| t2-le-45 | 15 | 45 GiB | 1 |
| l40s-90 | 15 | 90 GiB | 1 |
| a100-180 | 15 | 180 GiB | 1 |
| t1-le-90 | 16 | 90 GiB | 2 |
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