c4n-highcpu-8 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 999935502 |
Name | c4n-highcpu-8 |
Description | 8 vCPUs, 16 GB RAM |
Family | c4n |
Hw Virt | |
Average Time To Start | 21 |
Status | active |
Observed At | 2026-08-16T10:36:03.778696 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 0.2177 USD/h | 0.5443 USD/h |
The Dalles (US) / us-west1 | 0.2177 USD/h | 0.5443 USD/h |
Moncks Corner (US) / us-east1 | 0.2177 USD/h | 0.5443 USD/h |
Columbus (US) / us-east5 | 0.2177 USD/h | 0.5443 USD/h |
London (GB) / europe-west2 | 0.2482 USD/h | 0.6205 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 | 16 GiB |
Memory Amount Actual | 16 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
A compute-optimized instance featuring dedicated Intel Xeon cores, high-speed single-threaded decompression, and hardware-accelerated matrix operations for efficient batch processing.
Google Cloud Platform c4n-highcpu-8 is a compute-optimized instance featuring 8 vCPUs and 16 GB of RAM, powered by an Intel Xeon 8581C x86_64 processor. It provides 4 physical cores with hyper-threading, a 2.3 GHz clock speed, and a 260 MB L3 cache. Lacking local storage and GPUs, the instance relies on network-attached resources. Benchmarks reveal top-tier single-threaded bzip3 decompression at 15.23 GB/sec and strong single-threaded gzip compression at 34.94 GB/sec. It also handles small-model LLM text generation efficiently at 348.78 tokens/sec, though larger models show a performance drop. The 1:2 vCPU-to-RAM ratio delivers qualitative cost efficiency for compute-intensive tasks. This instance is suited for web serving, data compression, and lightweight inference workloads.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 15831 |
Compression | 158268 |
Encryption | 9392 |
Extended Instructions | 12094 |
Floating Point Maths | 30090 |
Integer Maths | 42459 |
Physics | 2112 |
Prime Numbers | 89 |
Single Threaded | 3241 |
String Sorting | 21409 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1974 |
Database Operations | 4988 |
Memory Latency | 59 |
Memory Read Cached | 28073 |
Memory Read Uncached | 7749 |
Memory Write | 7357 |
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-standard-8 | 8 | 30 GiB | 0 |
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