g2-standard-16 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1600016 |
Name | g2-standard-16 |
API Reference Object | - |
Description | Graphics Optimized: 1 NVIDIA L4 GPU, 16 vCPUs, 64GB RAM |
Family | g2 |
Hw Virt | |
Average Time To Start | 18 |
Status | active |
Observed At | 2026-10-16T21:36:39.437149 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.6101 USD/h | 1.1435 USD/h |
Council Bluffs (US) / us-central1 | 0.6865 USD/h | 1.1472 USD/h |
The Dalles (US) / us-west1 | 0.6865 USD/h | 1.1472 USD/h |
Moncks Corner (US) / us-east1 | 0.6865 USD/h | 1.1472 USD/h |
Mumbai (IN) / asia-south1 | 0.6082 USD/h | 1.1942 USD/h |
Eemshaven (NL) / europe-west4 | 0.7234 USD/h | 1.2058 USD/h |
Montréal (CA) / northamerica-northeast1 | 0.754 USD/h | 1.2632 USD/h |
Toronto (CA) / northamerica-northeast2 | 0.7558 USD/h | 1.2632 USD/h |
St. Ghislain (BE) / europe-west1 | 0.7579 USD/h | 1.2632 USD/h |
Las Vegas (US) / us-west4 | 0.7733 USD/h | 1.2921 USD/h |
London (GB) / europe-west2 | 0.7837 USD/h | 1.3062 USD/h |
Changhua County (TW) / asia-east1 | 0.7959 USD/h | 1.3284 USD/h |
Frankfurt (DE) / europe-west3 | 0.8072 USD/h | 1.352 USD/h |
Jurong West (SG) / asia-southeast1 | 0.8493 USD/h | 1.4153 USD/h |
Seoul (KR) / asia-northeast3 | 0.5243 USD/h | 1.4732 USD/h |
Tokyo (JP) / asia-northeast1 | 0.7957 USD/h | 1.4732 USD/h |
Zurich (CH) / europe-west6 | 0.9292 USD/h | 1.5527 USD/h |
Dammam (SA) / me-central2 | 1.0902 USD/h | 1.8355 USD/h |
Processor
vCPUs | 16 |
CPU Allocation | Dedicated |
CPU Cores | 8 |
CPU Speed | 2.2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 256 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 256 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 8 MiB |
CPU L3 Cache | 39 MiB |
CPU L3 Cache Total | 39 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 | 10.6 |
Scalability | 66.25 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 64 GiB |
Memory Amount Actual | 64 GiB |
| ACCELERATORS | |
|---|---|
Accelerator Count | 1 |
Accelerator Memory Min | 24 GiB |
Accelerator Memory Total | 24 GiB |
Accelerator Type | GPU |
Accelerator Manufacturer | NVIDIA |
Accelerator Family | Ada Lovelace |
Accelerator Model | L4 |
Accelerators |
|
| 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 GPU-accelerated virtual machine featuring an NVIDIA L4 GPU and dedicated Intel Xeon processors, optimized for machine learning inference and graphics rendering.
Google Cloud Platform g2-standard-16 is a graphics-optimized instance designed for GPU-accelerated workloads. It features an Intel Xeon x86_64 processor with 16 dedicated vCPUs, 64.0 GB of system memory, and a single NVIDIA L4 GPU with 24 GB of VRAM. The instance does not include local storage. Performance benchmarks reveal top-tier capabilities in LLM inference for small and medium models, while general single-core CPU performance and single-threaded compression tasks remain in the lower tier. Multi-core CPU performance, memory bandwidth, and database operations perform at an average level. This hardware profile offers a qualitatively cost-effective solution for GPU-driven tasks like machine learning inference, image processing, and ray tracing, though it presents tradeoffs for workloads requiring high single-threaded CPU speed or local storage.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 13538 |
Compression | 187062 |
Encryption | 5810 |
Extended Instructions | 11945 |
Floating Point Maths | 22743 |
Integer Maths | 42240 |
Physics | 1521 |
Prime Numbers | 76 |
Single Threaded | 1691 |
String Sorting | 22203 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2521 |
Database Operations | 5263 |
Memory Latency | 52 |
Memory Read Cached | 20704 |
Memory Read Uncached | 11185 |
Memory Write | 10359 |
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 | Accelerators |
|---|---|---|---|
| g2-standard-4 | 4 | 16 GiB | 1 |
| g2-standard-8 | 8 | 32 GiB | 1 |
| g2-standard-12 | 12 | 48 GiB | 1 |
| g2-standard-24 | 24 | 96 GiB | 2 |
| g2-standard-32 | 32 | 128 GiB | 1 |
| g2-standard-48 | 48 | 192 GiB | 4 |
| g2-standard-96 | 96 | 384 GiB | 8 |
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