a3-edgegpu-8g by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1720367 |
Name | a3-edgegpu-8g |
Description | Accelerator Optimized: 8 NVIDIA H100 GPU, 208 vCPUs, 1872GB RAM |
Family | a3 |
Hw Virt | |
Average Time To Start | 39 |
Status | active |
Observed At | 2026-08-21T01:20:10.335761 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 4.6862 USD/h | 9.4601 USD/h |
Council Bluffs (US) / us-central1 | 5.6759 USD/h | 9.4601 USD/h |
The Dalles (US) / us-west1 | 5.6759 USD/h | 9.4601 USD/h |
Mumbai (IN) / asia-south1 | 5.1205 USD/h | 9.8385 USD/h |
Eemshaven (NL) / europe-west4 | 4.7102 USD/h | 9.9331 USD/h |
Toronto (CA) / northamerica-northeast2 | 2.2728 USD/h | 10.4165 USD/h |
Las Vegas (US) / us-west4 | 4.8173 USD/h | 10.6549 USD/h |
Columbus (US) / us-east5 | 4.8173 USD/h | 10.6549 USD/h |
London (GB) / europe-west2 | 0.9718 USD/h | 10.7845 USD/h |
Paris (FR) / europe-west9 | 2.4573 USD/h | 10.9737 USD/h |
Frankfurt (DE) / europe-west3 | 5.2853 USD/h | 11.1629 USD/h |
Jurong West (SG) / asia-southeast1 | 6.963 USD/h | 11.6709 USD/h |
Tokyo (JP) / asia-northeast1 | 2.3242 USD/h | 12.1486 USD/h |
Seoul (KR) / asia-northeast3 | 4.7041 USD/h | 12.1486 USD/h |
Melbourne (AU) / australia-southeast2 | 1.1145 USD/h | 12.2981 USD/h |
Processor
vCPUs | 208 |
CPU Allocation | Dedicated |
CPU Cores | 104 |
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 | 5 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 3 MiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 208 MiB |
CPU L3 Cache | 105 MiB |
CPU L3 Cache Total | 210 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 | 81.9 |
Scalability | 78.75 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 2 TB |
Memory Amount Actual | 2 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 80 GiB |
GPU Memory Total | 637 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Hopper |
GPU Model | H100 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 6432 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 combining eight high-performance GPUs, massive system memory, and local NVMe storage for intensive parallel computing workloads.
Google Cloud Platform a3-edgegpu-8g is an accelerator-optimized server designed for high-density parallel computing and machine learning workloads. It features 8 NVIDIA H100 Hopper GPUs with 637 GB of total VRAM, paired with an Intel Xeon 8481C processor providing 208 vCPUs and 1872 GB of system memory. Storage is supported by 6432 GB of local NVMe SSD. In benchmark testing, the server demonstrates top-tier performance, achieving a stress-ng multi-core score of 167331.13 and a PassMark CPU score of 125152.39. It also excels in memory bandwidth, reaching 431.78 GB/sec for uncached large blocks, and database operations, processing 177.5 million Redis SET operations per second. This hardware profile is highly efficient for resource-dense workloads but carries a premium hardware class tradeoff. It is best suited for AI training, LLM inference, and high-performance computing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 125152 |
Compression | 2693757 |
Encryption | 168381 |
Extended Instructions | 191152 |
Floating Point Maths | 569539 |
Integer Maths | 798990 |
Physics | 14782 |
Prime Numbers | 1023 |
Single Threaded | 3134 |
String Sorting | 344477 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2352 |
Database Operations | 34439 |
Memory Latency | 71 |
Memory Read Cached | 27110 |
Memory Read Uncached | 9944 |
Memory Write | 8391 |
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-4g | 104 | 936 GiB | 4 |
| a3-highgpu-8g | 208 | 1872 GiB | 8 |
| a3-megagpu-8g | 208 | 1872 GiB | 8 |
| a3-edgegpu-8g-nolssd | 208 | 1872 GiB | 8 |
| a3-ultragpu-8g | 224 | 2952 GiB | 8 |
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