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 | 2026-10-02T14:45:32.112358Z |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 52.9623 USD/h | 88.49 USD/h |
The Dalles (US) / us-west1 | 52.9623 USD/h | 88.49 USD/h |
Ashburn (US) / us-east4 | 53.1331 USD/h | 88.5558 USD/h |
Mumbai (IN) / asia-south1 | 54.8812 USD/h | 92.1348 USD/h |
Toronto (CA) / northamerica-northeast2 | 26.0303 USD/h | 97.4356 USD/h |
Columbus (US) / us-east5 | 54.248 USD/h | 99.5832 USD/h |
Las Vegas (US) / us-west4 | 49.5028 USD/h | 99.649 USD/h |
London (GB) / europe-west2 | 12.3886 USD/h | 100.9181 USD/h |
Paris (FR) / europe-west9 | 35.6369 USD/h | 102.6484 USD/h |
Frankfurt (DE) / europe-west3 | 62.6553 USD/h | 104.4314 USD/h |
Eemshaven (NL) / europe-west4 | 67.4966 USD/h | 112.5405 USD/h |
Seoul (KR) / asia-northeast3 | 45.7175 USD/h | 113.6492 USD/h |
Jurong West (SG) / asia-southeast1 | 68.5595 USD/h | 114.2783 USD/h |
Melbourne (AU) / australia-southeast2 | 10.8178 USD/h | 115.0699 USD/h |
Tokyo (JP) / asia-northeast1 | 25.5358 USD/h | 126.6434 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 | 39.38 |
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 | 640 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 high-speed local NVMe storage for intensive parallel computing.
Google Cloud Platform a3-edgegpu-8g is an accelerator-optimized server featuring eight NVIDIA Hopper H100 GPUs with 640 GB of total VRAM, 208 vCPUs on an Intel Xeon 8481C processor, and 1872.0 GB of system memory. Built on the x86_64 architecture, it includes 6432 GB of local NVMe SSD storage. Benchmark results place this server in the top 10% for multi-core CPU performance, memory bandwidth, and database operations, with Redis SET performance reaching 177.5 million operations per second. The processor supports advanced instruction sets including AVX-512 and Advanced Matrix Extensions (AMX) for accelerated matrix mathematics. This server is engineered for high-density parallel computing tasks, making it highly suitable for large-scale machine learning, large language model inference, real-time database operations, and complex scientific simulations.
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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