g2-standard-24 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1600024 |
Name | g2-standard-24 |
Description | Graphics Optimized: 2 NVIDIA L4 GPUs, 24 vCPUs, 96GB RAM |
Family | g2 |
Hw Virt | |
Average Time To Start | 20 |
Status | active |
Observed At | 2026-09-12T09:38:50.014421 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.4258 USD/h | 0.8779 USD/h |
Council Bluffs (US) / us-central1 | 0.5019 USD/h | 0.8808 USD/h |
The Dalles (US) / us-west1 | 0.5019 USD/h | 0.8808 USD/h |
Moncks Corner (US) / us-east1 | 0.5019 USD/h | 0.8808 USD/h |
Mumbai (IN) / asia-south1 | 0.4448 USD/h | 0.9168 USD/h |
Eemshaven (NL) / europe-west4 | 0.5277 USD/h | 0.9257 USD/h |
St. Ghislain (BE) / europe-west1 | 0.5118 USD/h | 0.9698 USD/h |
Toronto (CA) / northamerica-northeast2 | 0.5513 USD/h | 0.9698 USD/h |
Montréal (CA) / northamerica-northeast1 | 0.5527 USD/h | 0.9698 USD/h |
Las Vegas (US) / us-west4 | 0.5653 USD/h | 0.992 USD/h |
London (GB) / europe-west2 | 0.6017 USD/h | 1.0028 USD/h |
Changhua County (TW) / asia-east1 | 0.554 USD/h | 1.0198 USD/h |
Frankfurt (DE) / europe-west3 | 0.5903 USD/h | 1.038 USD/h |
Jurong West (SG) / asia-southeast1 | 0.652 USD/h | 1.0866 USD/h |
Seoul (KR) / asia-northeast3 | 0.3676 USD/h | 1.1311 USD/h |
Tokyo (JP) / asia-northeast1 | 0.6447 USD/h | 1.1311 USD/h |
Zurich (CH) / europe-west6 | 0.6577 USD/h | 1.1538 USD/h |
Dammam (SA) / me-central2 | 0.8012 USD/h | 1.4092 USD/h |
Processor
vCPUs | 24 |
CPU Allocation | Dedicated |
CPU Cores | 12 |
CPU Speed | 2.2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 384 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 384 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 12 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 | 15.8 |
Scalability | 131.67 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 96 GiB |
Memory Amount Actual | 96 GiB |
| GPU | |
|---|---|
GPU Count | 2 |
GPU Memory Min | 22 GiB |
GPU Memory Total | 45 GiB |
GPU Manufacturer | NVIDIA |
GPU Family | Ada Lovelace |
GPU Model | L4 |
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 dual-GPU accelerated virtual machine delivering top-tier LLM inference performance balanced with moderate multi-core x86_64 compute resources.
Google Cloud Platform g2-standard-24 is a graphics-optimized virtual machine configured with 24 vCPUs, 96 GB of RAM, and two NVIDIA L4 GPUs providing 45 GB of VRAM. Powered by an Intel Xeon x86_64 processor with 12 physical cores running at 2.2 GHz, this instance does not include local storage. Performance benchmarks reveal a distinct tradeoff: single-core CPU performance is weak, but GPU-accelerated capabilities are exceptional. The instance achieves top-tier results in LLM inference, processing up to 11,848 tokens per second for small models and maintaining strong text generation speeds. Multi-core CPU tasks and memory bandwidth perform at average levels. Qualitatively, this server provides a cost-effective entry point for GPU-intensive applications by balancing moderate CPU capabilities with dual Ada Lovelace accelerators. It is best suited for LLM inference, machine learning deployment, ray tracing, and image processing workloads.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 19045 |
Compression | 278913 |
Encryption | 8663 |
Extended Instructions | 18063 |
Floating Point Maths | 34111 |
Integer Maths | 63470 |
Physics | 1945 |
Prime Numbers | 102 |
Single Threaded | 1713 |
String Sorting | 32680 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2543 |
Database Operations | 7776 |
Memory Latency | 52 |
Memory Read Cached | 20669 |
Memory Read Uncached | 10575 |
Memory Write | 9969 |
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 |
|---|---|---|---|
| g2-standard-4 | 4 | 16 GiB | 1 |
| g2-standard-8 | 8 | 32 GiB | 1 |
| g2-standard-12 | 12 | 48 GiB | 1 |
| g2-standard-16 | 16 | 64 GiB | 1 |
| 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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