a2-ultragpu-8g by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1020096 |
Name | a2-ultragpu-8g |
Description | Accelerator Optimized: 8 NVIDIA A100 80GB GPUs, 96 vCPUs, 1360GB RAM, 8 local SSD |
Family | a2 |
Hw Virt | |
Status | active |
Observed At | 2026-08-01T07:29:05.061646 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Columbus (US) / us-east5 | 3.4983 USD/h | 8.797 USD/h |
Council Bluffs (US) / us-central1 | 4.6173 USD/h | 8.797 USD/h |
Eemshaven (NL) / europe-west4 | 4.3746 USD/h | 9.684 USD/h |
Ashburn (US) / us-east4 | 5.9442 USD/h | 9.9066 USD/h |
Jurong West (SG) / asia-southeast1 | 6.5114 USD/h | 10.8513 USD/h |
Processor
vCPUs | 96 |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 2.2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 2 MiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 2 MiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 48 MiB |
CPU L3 Cache | 39 MiB |
CPU L3 Cache Total | 77 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, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni, md_clear, arch_capabilities |
Ecpus | 63.1 |
Scalability | 131.46 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 1 TB |
Memory Amount Actual | 1 TB |
| GPU | |
|---|---|
GPU Count | 8 |
GPU Memory Min | 80 GiB |
GPU Memory Total | 640 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ampere |
GPU Model | A100 |
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 server featuring eight NVIDIA A100 GPUs and high-capacity NVMe storage for demanding machine learning and parallel computing workloads.
Google Cloud Platform a2-ultragpu-8g is an accelerator-optimized server designed for intensive parallel computing and machine learning workloads. It features eight NVIDIA Ampere A100 GPUs with 640 GB of total VRAM, paired with 96 Intel Xeon vCPUs and 1360.0 GB of system memory. Storage is supported by 3216 GB of local NVMe SSDs. While single-core CPU performance is relatively weak, the server excels in multi-core processing, memory read bandwidth, and large language model inference, where it achieves top-tier prompt processing speeds. This high-density hardware configuration is optimized for deep learning, LLM serving, ray tracing, and high-throughput database operations.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 48614 |
Compression | 1011247 |
Encryption | 30571 |
Extended Instructions | 64383 |
Floating Point Maths | 135191 |
Integer Maths | 253165 |
Physics | 4759 |
Prime Numbers | 299 |
Single Threaded | 1696 |
String Sorting | 113705 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2374 |
Database Operations | 19517 |
Memory Latency | 56 |
Memory Read Cached | 20863 |
Memory Read Uncached | 8442 |
Memory Write | 8537 |
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 |
|---|---|---|---|
| a2-highgpu-1g | 12 | 85 GiB | 1 |
| a2-ultragpu-1g | 12 | 170 GiB | 1 |
| a2-highgpu-2g | 24 | 170 GiB | 2 |
| a2-ultragpu-2g | 24 | 340 GiB | 2 |
| a2-highgpu-4g | 48 | 340 GiB | 4 |
| a2-ultragpu-4g | 48 | 680 GiB | 4 |
| a2-highgpu-8g | 96 | 680 GiB | 8 |
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