a3-highgpu-4g by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1720363 |
Name | a3-highgpu-4g |
Description | Accelerator Optimized: 4 NVIDIA H100 GPU, 104 vCPUs, 936GB RAM |
Family | a3 |
Hw Virt | |
Average Time To Start | 41 |
Status | active |
Observed At | 2026-09-16T17:56:47.480126 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 26.4811 USD/h | 44.245 USD/h |
The Dalles (US) / us-west1 | 26.4811 USD/h | 44.245 USD/h |
Ashburn (US) / us-east4 | 25.2873 USD/h | 44.2779 USD/h |
Mumbai (IN) / asia-south1 | 24.8835 USD/h | 46.0674 USD/h |
St. Ghislain (BE) / europe-west1 | 24.0348 USD/h | 48.6849 USD/h |
Hamina (FI) / europe-north1 | 4.5692 USD/h | 48.7178 USD/h |
Columbus (US) / us-east5 | 23.5099 USD/h | 49.7916 USD/h |
Las Vegas (US) / us-west4 | 22.4703 USD/h | 49.8245 USD/h |
London (GB) / europe-west2 | 5.6345 USD/h | 50.459 USD/h |
Changhua County (TW) / asia-east1 | 30.3124 USD/h | 51.1794 USD/h |
Paris (FR) / europe-west9 | 15.4549 USD/h | 51.3242 USD/h |
Frankfurt (DE) / europe-west3 | 31.3285 USD/h | 52.2157 USD/h |
Delhi (IN) / asia-south2 | 14.1053 USD/h | 53.1423 USD/h |
Sydney (AU) / australia-southeast1 | 13.2578 USD/h | 55.3391 USD/h |
Eemshaven (NL) / europe-west4 | 29.3015 USD/h | 56.2702 USD/h |
Seoul (KR) / asia-northeast3 | 19.785 USD/h | 56.8246 USD/h |
Jurong West (SG) / asia-southeast1 | 34.2596 USD/h | 57.1391 USD/h |
Melbourne (AU) / australia-southeast2 | 5.3785 USD/h | 57.535 USD/h |
Tokyo (JP) / asia-northeast1 | 11.0886 USD/h | 63.3217 USD/h |
Processor
vCPUs | 104 |
CPU Allocation | Dedicated |
CPU Cores | 52 |
CPU Speed | 2.7 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8481C |
CPU L1D Cache | 48 KiB |
CPU L1D Cache Total | 2 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 2 MiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 104 MiB |
CPU L3 Cache | 105 MiB |
CPU L3 Cache Total | 105 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, rep_good, nopl, xtopology, nonstop_tsc, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, ssbd, ibrs, ibpb, stibp, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rtm, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, arat, avx512vbmi, umip, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, la57, rdpid, cldemote, movdiri, movdir64b, fsrm, md_clear, serialize, tsxldtrk, amx_bf16, avx512_fp16, amx_tile, amx_int8, arch_capabilities |
Ecpus | 42.2 |
Scalability | 81.15 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 936 GiB |
Memory Amount Actual | 936 GiB |
| GPU | |
|---|---|
GPU Count | 4 |
GPU Memory Min | 80 GiB |
GPU Memory Total | 320 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Hopper |
GPU Model | H100 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 3216 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
An accelerator-optimized platform featuring four NVIDIA H100 GPUs and high-speed NVMe storage for demanding machine learning and parallel computing workloads.
Google Cloud Platform a3-highgpu-4g is an accelerator-optimized server designed for high-performance parallel computing. It features an Intel Xeon 8481C processor with 104 vCPUs, 936 GB of system memory, and four NVIDIA Hopper H100 GPUs providing 319 GB of total VRAM. Local storage is supported by 3216 GB of NVMe SSD capacity. The server demonstrates exceptional multi-core processing capabilities, with a PassMark CPU score in the top 10% tier and strong memory bandwidth performance. It is highly optimized for workloads such as large language model inference, deep learning training, image processing, and intensive database operations.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 86939 |
Compression | 1376341 |
Encryption | 84930 |
Extended Instructions | 95800 |
Floating Point Maths | 285267 |
Integer Maths | 400329 |
Physics | 7469 |
Prime Numbers | 520 |
Single Threaded | 3154 |
String Sorting | 175027 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2360 |
Database Operations | 29920 |
Memory Latency | 71 |
Memory Read Cached | 27843 |
Memory Read Uncached | 9946 |
Memory Write | 8671 |
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 |
|---|---|---|---|
| a3-highgpu-1g | 26 | 234 GiB | 1 |
| a3-highgpu-2g | 52 | 468 GiB | 2 |
| a3-highgpu-8g | 208 | 1872 GiB | 8 |
| a3-megagpu-8g | 208 | 1872 GiB | 8 |
| a3-edgegpu-8g | 208 | 1872 GiB | 8 |
| a3-edgegpu-8g-nolssd | 208 | 1872 GiB | 8 |
| a3-ultragpu-8g | 224 | 2952 GiB | 8 |
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