c4n-standard-8 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999935511 |
Name | c4n-standard-8 |
Description | 8 vCPUs, 30 GB RAM |
Family | c4n |
Hw Virt | |
Average Time To Start | 29 |
Status | active |
Observed At | 2026-08-16T17:07:34.792075 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 0.253 USD/h | 0.6326 USD/h |
The Dalles (US) / us-west1 | 0.253 USD/h | 0.6326 USD/h |
Moncks Corner (US) / us-east1 | 0.253 USD/h | 0.6326 USD/h |
Columbus (US) / us-east5 | 0.253 USD/h | 0.6326 USD/h |
London (GB) / europe-west2 | 0.2884 USD/h | 0.7211 USD/h |
Processor
vCPUs | 8 |
CPU Allocation | Dedicated |
CPU Cores | 4 |
CPU Speed | 2.3 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU Model | 8581C |
CPU L1D Cache | 48 KiB |
CPU L1D Cache Total | 192 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 128 KiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 8 MiB |
CPU L3 Cache | 260 MiB |
CPU L3 Cache Total | 260 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, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, 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, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, wbnoinvd, 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 | 4.1 |
Scalability | 102.5 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 30 GiB |
Memory Amount Actual | 30 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
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 x86_64 virtual machine featuring dedicated Intel Xeon processing and balanced memory for general-purpose compute and database workloads.
Google Cloud Platform c4n-standard-8 is an x86_64 virtual machine featuring 8 dedicated vCPUs and 30.0 GB of RAM, powered by an Intel Xeon 8581C processor running at 2.3 GHz. It contains 4 physical cores with hyper-threading and a 260 MB L3 cache, but lacks local storage and GPU accelerators. Performance benchmarks place this instance in the average tier for general compute, with a stress-ng multi-core score of 8882.75 and a Passmark CPU score of 15872.98. However, it demonstrates strong single-threaded compression capabilities, with gzip compression at 35.04 GB/sec and bzip3 decompression at 15.25 GB/sec. It also achieves top-tier text generation speeds of 352.64 tokens/sec on small LLM models. This instance is qualitatively cost-efficient for balanced workloads, making it suitable for static web serving, database operations, and general-purpose applications requiring advanced vector and matrix extensions.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 15873 |
Compression | 159234 |
Encryption | 9429 |
Extended Instructions | 12193 |
Floating Point Maths | 30177 |
Integer Maths | 42237 |
Physics | 2090 |
Prime Numbers | 90 |
Single Threaded | 3247 |
String Sorting | 21493 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2212 |
Database Operations | 5032 |
Memory Latency | 57 |
Memory Read Cached | 29081 |
Memory Read Uncached | 8142 |
Memory Write | 7657 |
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
PostgreSQL heavy read-only throughput
Alternatives
Servers of the Same Family
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| c4n-highcpu-2 | 2 | 4 GiB | 0 |
| c4n-standard-2 | 2 | 7 GiB | 0 |
| c4n-highmem-2 | 2 | 15 GiB | 0 |
| c4n-highcpu-4 | 4 | 8 GiB | 0 |
| c4n-standard-4 | 4 | 15 GiB | 0 |
| c4n-highmem-4 | 4 | 31 GiB | 0 |
| c4n-highcpu-8 | 8 | 16 GiB | 0 |
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