a3-edgegpu-8g-nolssd by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1720368 |
Name | a3-edgegpu-8g-nolssd |
Description | Accelerator Optimized: 8 NVIDIA H100 GPU, 208 vCPUs, 1872GB RAM, No LocalSSD |
Family | a3 |
Hw Virt | |
Average Time To Start | 28.6 |
Status | active |
Observed At | 2026-09-14T19:11:00.829310 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 5.3982 USD/h | 9.4601 USD/h |
Council Bluffs (US) / us-central1 | 5.6622 USD/h | 9.4601 USD/h |
The Dalles (US) / us-west1 | 5.6622 USD/h | 9.4601 USD/h |
Mumbai (IN) / asia-south1 | 5.3367 USD/h | 9.8385 USD/h |
Eemshaven (NL) / europe-west4 | 5.1682 USD/h | 9.9331 USD/h |
Toronto (CA) / northamerica-northeast2 | 2.4989 USD/h | 10.4165 USD/h |
Las Vegas (US) / us-west4 | 4.7954 USD/h | 10.6549 USD/h |
Columbus (US) / us-east5 | 5.0197 USD/h | 10.6549 USD/h |
London (GB) / europe-west2 | 1.176 USD/h | 10.7845 USD/h |
Paris (FR) / europe-west9 | 3.2802 USD/h | 10.9737 USD/h |
Frankfurt (DE) / europe-west3 | 6.6972 USD/h | 11.1629 USD/h |
Jurong West (SG) / asia-southeast1 | 7.0025 USD/h | 11.6709 USD/h |
Tokyo (JP) / asia-northeast1 | 2.0923 USD/h | 12.1486 USD/h |
Seoul (KR) / asia-northeast3 | 4.2361 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, vmx, 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, tpr_shadow, flexpriority, ept, vpid, ept_ad, 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, vnmi, 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 | 81.3 |
Scalability | 78.17 |
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 | 0 GB |
Storages |
| NETWORK | |
|---|---|
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
CPU and System Topology
Server Description
An accelerator-optimized server featuring eight NVIDIA H100 GPUs and dedicated Intel Xeon processors for high-density parallel computing and LLM inference.
Google Cloud Platform a3-edgegpu-8g-nolssd is an accelerator-optimized server designed for highly parallel, compute-intensive workloads. It features eight NVIDIA H100 GPUs with 637 GB of total VRAM, paired with 208 vCPUs from dedicated Intel Xeon 8481C processors running at 2.7 GHz. The system is equipped with 1872 GB of RAM, though it lacks local SSD storage, requiring external storage configurations. Benchmarks indicate top-tier multi-core CPU performance, exceptional memory bandwidth, and superior LLM inference capabilities, particularly for prompt processing and text generation on medium-sized models. Conversely, single-core performance and memory scores remain average. This high-density hardware profile is qualitatively cost-efficient for massive parallel processing but represents a tradeoff for single-threaded tasks or workloads requiring local high-speed disk storage. It is highly suited for large-scale AI training, LLM inference, and complex data science pipelines.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 120168 |
Compression | 2482042 |
Encryption | 160627 |
Extended Instructions | 163937 |
Floating Point Maths | 565765 |
Integer Maths | 794187 |
Physics | 14269 |
Prime Numbers | 935 |
Single Threaded | 3072 |
String Sorting | 315345 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2168 |
Database Operations | 32473 |
Memory Latency | 81 |
Memory Read Cached | 27997 |
Memory Read Uncached | 9285 |
Memory Write | 8207 |
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 | 208 | 1872 GiB | 8 |
| a3-ultragpu-8g | 224 | 2952 GiB | 8 |
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