a3-highgpu-1g by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1720361 |
Name | a3-highgpu-1g |
Description | Accelerator Optimized: 1 NVIDIA H100 GPU, 26 vCPUs, 234GB RAM |
Family | a3 |
Hw Virt | |
Average Time To Start | 30 |
Status | active |
Observed At | 2026-09-16T09:47:52.053949 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.6748 USD/h | 1.1825 USD/h |
Council Bluffs (US) / us-central1 | 0.7078 USD/h | 1.1825 USD/h |
The Dalles (US) / us-west1 | 0.7078 USD/h | 1.1825 USD/h |
Mumbai (IN) / asia-south1 | 0.6671 USD/h | 1.2298 USD/h |
Eemshaven (NL) / europe-west4 | 0.646 USD/h | 1.2416 USD/h |
Hamina (FI) / europe-north1 | 0.1173 USD/h | 1.3021 USD/h |
St. Ghislain (BE) / europe-west1 | 0.6416 USD/h | 1.3021 USD/h |
Las Vegas (US) / us-west4 | 0.5994 USD/h | 1.3319 USD/h |
Columbus (US) / us-east5 | 0.6275 USD/h | 1.3319 USD/h |
London (GB) / europe-west2 | 0.147 USD/h | 1.3481 USD/h |
Changhua County (TW) / asia-east1 | 0.8104 USD/h | 1.3692 USD/h |
Paris (FR) / europe-west9 | 0.41 USD/h | 1.3717 USD/h |
Frankfurt (DE) / europe-west3 | 0.8371 USD/h | 1.3954 USD/h |
Delhi (IN) / asia-south2 | 0.3741 USD/h | 1.4203 USD/h |
Jurong West (SG) / asia-southeast1 | 0.8753 USD/h | 1.4589 USD/h |
Sydney (AU) / australia-southeast1 | 0.3515 USD/h | 1.4781 USD/h |
Tokyo (JP) / asia-northeast1 | 0.2615 USD/h | 1.5186 USD/h |
Seoul (KR) / asia-northeast3 | 0.5295 USD/h | 1.5186 USD/h |
Melbourne (AU) / australia-southeast2 | 0.1393 USD/h | 1.5373 USD/h |
Processor
vCPUs | 26 |
CPU Allocation | Dedicated |
CPU Cores | 13 |
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 | 624 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 416 KiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 26 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 | 13.6 |
Scalability | 104.62 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 234 GiB |
Memory Amount Actual | 234 GiB |
| GPU | |
|---|---|
GPU Count | 1 |
GPU Memory Min | 80 GiB |
GPU Memory Total | 80 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Hopper |
GPU Model | H100 |
GPUs |
|
| STORAGE | |
|---|---|
Storage Size | 804 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 dedicated Intel Xeon processors, high-capacity system memory, and a single NVIDIA H100 GPU with local NVMe storage.
Google Cloud Platform a3-highgpu-1g is an accelerator-optimized server featuring an Intel Xeon 8481C processor with 26 vCPUs, 234 GB of RAM, and a dedicated NVIDIA Hopper H100 GPU with 80 GB of VRAM. It also includes 804 GB of local NVMe SSD storage. The CPU operates at 2.7 GHz and supports Intel Advanced Matrix Extensions (AMX) and AVX-512. Benchmarks indicate strong single-threaded capabilities, with a Geekbench single-core score of 2072.0 and a top-tier LLM text generation speed of 348.05 tokens/sec for small 135M models. However, performance scales down to 2.49 tokens/sec for large 70B models. This server is designed for machine learning inference of small-to-medium models, accelerated database operations, and data science workloads requiring dedicated GPU acceleration and high memory density.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 35694 |
Compression | 413228 |
Encryption | 23911 |
Extended Instructions | 29708 |
Floating Point Maths | 76555 |
Integer Maths | 112126 |
Physics | 4676 |
Prime Numbers | 223 |
Single Threaded | 2802 |
String Sorting | 54325 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2194 |
Database Operations | 12845 |
Memory Latency | 75 |
Memory Read Cached | 25869 |
Memory Read Uncached | 9304 |
Memory Write | 8245 |
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-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-edgegpu-8g-nolssd | 208 | 1872 GiB | 8 |
| a3-ultragpu-8g | 224 | 2952 GiB | 8 |
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