g2-standard-32 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 1600032 |
Name | g2-standard-32 |
Description | Graphics Optimized: 1 NVIDIA L4 GPU, 32 vCPUs, 128GB RAM |
Family | g2 |
Hw Virt | |
Average Time To Start | 20 |
Status | active |
Observed At | 2026-10-19T17:30:25.513890 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Ashburn (US) / us-east4 | 0.9224 USD/h | 1.7287 USD/h |
Council Bluffs (US) / us-central1 | 1.0377 USD/h | 1.7344 USD/h |
The Dalles (US) / us-west1 | 1.0377 USD/h | 1.7344 USD/h |
Moncks Corner (US) / us-east1 | 1.0377 USD/h | 1.7344 USD/h |
Mumbai (IN) / asia-south1 | 0.9196 USD/h | 1.8054 USD/h |
Eemshaven (NL) / europe-west4 | 1.0937 USD/h | 1.8229 USD/h |
Montréal (CA) / northamerica-northeast1 | 1.083 USD/h | 1.9097 USD/h |
Toronto (CA) / northamerica-northeast2 | 1.0856 USD/h | 1.9097 USD/h |
St. Ghislain (BE) / europe-west1 | 1.1459 USD/h | 1.9097 USD/h |
Las Vegas (US) / us-west4 | 1.169 USD/h | 1.9534 USD/h |
London (GB) / europe-west2 | 1.1848 USD/h | 1.9747 USD/h |
Changhua County (TW) / asia-east1 | 1.2032 USD/h | 2.0082 USD/h |
Frankfurt (DE) / europe-west3 | 1.2204 USD/h | 2.044 USD/h |
Jurong West (SG) / asia-southeast1 | 1.284 USD/h | 2.1397 USD/h |
Seoul (KR) / asia-northeast3 | 0.753 USD/h | 2.2273 USD/h |
Tokyo (JP) / asia-northeast1 | 1.1427 USD/h | 2.2273 USD/h |
Zurich (CH) / europe-west6 | 1.3895 USD/h | 2.3219 USD/h |
Dammam (SA) / me-central2 | 1.5659 USD/h | 2.775 USD/h |
Processor
vCPUs | 32 |
CPU Allocation | Dedicated |
CPU Cores | 16 |
CPU Speed | 2.2 GHz |
CPU Architecture | x86_64 |
CPU Manufacturer | Intel |
CPU Family | Xeon |
CPU L1D Cache | 32 KiB |
CPU L1D Cache Total | 512 KiB |
CPU L1I Cache | 32 KiB |
CPU L1I Cache Total | 512 KiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 16 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 | 21.2 |
Scalability | 66.25 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 128 GiB |
Memory Amount Actual | 128 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
An accelerator-optimized server balancing dedicated GPU power for language model inference with standard multi-core x86 compute resources.
Google Cloud Platform g2-standard-32 is a graphics-optimized instance featuring 32 vCPUs, 128.0 GB of RAM, and a dedicated NVIDIA L4 GPU with 24 GB of VRAM. Powered by a 2.2 GHz Intel Xeon processor, this x86_64 server delivers a balanced 4.0 GB of memory per core but lacks local storage. Performance benchmarks highlight a significant tradeoff: the instance achieves top-tier results in LLM inference for small and medium models, yet exhibits weak single-core CPU performance in stress-ng and Geekbench tests. Multi-core CPU performance, memory bandwidth, and database operations fall within the average range. Qualitatively, the server provides cost-efficient GPU acceleration for workloads that can leverage the Ada Lovelace architecture. It is best suited for AI inference, image processing, and ray tracing, while being less optimal for single-threaded CPU tasks.
Economics
Performance
GPU Bandwidth and Latency
| Node (all GPUs) | |
|---|---|
Node baseline directional bandwidth | 6.1 GB/s |
Node GPU-to-host bandwidth | 13.2 GB/s |
Node host-to-GPU bandwidth | 12.3 GB/s |
| Single GPU slot | |
|---|---|
Per-GPU GPU-to-host bandwidth | 13.2 GB/s |
Per-GPU host-to-GPU bandwidth | 12.3 GB/s |
Per-GPU host-device latency | 909 ns |
| Benchmark Environment | |
|---|---|
Driver Version | 535.183.01 |
CUDA Runtime Version | 12.6 |
nvbandwidth Version | v0.5 |
GPU Count | 1 |
P2P Supported | No |
| Efficiency | |
|---|---|
SM/CE copy efficiency | 1.00 |
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 24,012 |
Compression | 370,758 |
Encryption | 11,564 |
Extended Instructions | 24,434 |
Floating Point Maths | 45,472 |
Integer Maths | 84,600 |
Physics | 2,291 |
Prime Numbers | 127 |
Single Threaded | 1,715 |
String Sorting | 43,673 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2,588 |
Database Operations | 10,267 |
Memory Latency | 52 |
Memory Read Cached | 20,717 |
Memory Read Uncached | 10,930 |
Memory Write | 10,253 |
Stress-ng Stressors
| CPU integer | Single | Multi | Scaling |
|---|---|---|---|
atomic | 201.46 | 180.72 | 0.90× |
bitops | 92,267 | 1,691,789 | 18.34× |
branch | 131,413 | 3,181,778 | 24.21× |
funccall | 462.87 | 7,563 | 16.34× |
funcret | 9,614 | 217,847 | 22.66× |
hash | 107,576 | 2,452,997 | 22.80× |
intmath | 18,992 | 453,794 | 23.89× |
nop | 163,214 | 2,253,565 | 13.81× |
prime | 271,728 | 4,795,556 | 17.65× |
rotate | 82,431 | 1,807,779 | 21.93× |
str | 643,579 | 10,670,745 | 16.58× |
wcs | 410,437 | 6,561,144 | 15.99× |
| Cryptography | Single | Multi | Scaling |
|---|---|---|---|
crypt | 2,080 | 32,227 | 15.49× |
| Compression | Single | Multi | Scaling |
|---|---|---|---|
jpeg | 514.43 | 9,125 | 17.74× |
zlib | 32.4 | 1,113 | 34.35× |
| Hypervisor | Single | Multi | Scaling |
|---|---|---|---|
clock | 25,028 | 294,574 | 11.77× |
clone | 291.96 | 3,518 | 12.05× |
context | 2,212 | 40,593 | 18.35× |
cpu-sched | 57.65 | 2,030 | 35.20× |
eventfd | 46,309 | 701,712 | 15.15× |
fault | 9,473 | 170,651 | 18.01× |
fork | 3,492 | 53,506 | 15.32× |
getrandom | 38,230 | 741,569 | 19.40× |
hrtimers | 152,162 | 3,320,785 | 21.82× |
mprotect | 1,010,669 | 4,317,379 | 4.27× |
mtx | 8,788,544 | 709,377,485 | 80.72× |
munmap | 2,274 | 38,037 | 16.73× |
null | 254,029 | 4,063,988 | 16.00× |
pipe | 827,340 | 8,958,296 | 10.83× |
priv-instr | 481,585 | 8,273,887 | 17.18× |
resched | 4,504,539 | 1,712,704 | 0.38× |
switch | 74,798 | 4,616,317 | 61.72× |
timermix | 168,669 | 3,779,631 | 22.41× |
tlb-shootdown | 10,354 | 44,484 | 4.30× |
tsc | 849,983 | 18,912,201 | 22.25× |
usersyscall | 330,035 | 5,744,516 | 17.41× |
vdso | 70,617,399 | 1,541,429,883 | 21.83× |
vfork | 23,811 | 210,791 | 8.85× |
x86syscall | 2,845,933 | 46,422,231 | 16.31× |
yield | 14,022,714 | 16,334,969 | 1.16× |
zero | 1,722,433 | 29,043,946 | 16.86× |
| CPU float/SIMD | Single | Multi | Scaling |
|---|---|---|---|
eigen | 13,795 | 265,067 | 19.21× |
expmath | 2,286 | 55,406 | 24.23× |
fma | 510,773 | 13,263,259 | 25.97× |
fp | 105.6 | 2,098 | 19.87× |
fractal | 4.2 | 98.02 | 23.34× |
hyperbolic | 2,380 | 59,155 | 24.85× |
logmath | 3,865 | 90,659 | 23.46× |
matrix | 2,595 | 65,631 | 25.30× |
matrix-3d | 604.18 | 3,236 | 5.36× |
monte-carlo | 118.04 | 2,079 | 17.61× |
mpfr | 1,034 | 17,285 | 16.72× |
powmath | 1,351 | 32,794 | 24.28× |
trig | 1,457 | 29,516 | 20.26× |
veccmp | 13,299 | 214,598 | 16.14× |
vecfp | 1,151 | 22,700 | 19.72× |
vecmath | 1,863 | 46,396 | 24.91× |
vecshuf | 481.66 | 8,242 | 17.11× |
vecwide | 22,000 | 381,715 | 17.35× |
| Algorithms | Single | Multi | Scaling |
|---|---|---|---|
bitonicsort | 6.2 | 111.8 | 18.03× |
bsearch | 206.18 | 3,685 | 17.87× |
bubblesort | 0.6 | 6.4 | 10.67× |
fibsearch | 208.52 | 3,823 | 18.33× |
heapsort | 7.4 | 140.8 | 19.03× |
hsearch | 4,164 | 81,799 | 19.64× |
insertionsort | 7 | 108.8 | 15.54× |
malloc | 1,984,649 | 33,046,178 | 16.65× |
mcontend | 106.33 | 6,299 | 59.24× |
mergesort | 19.8 | 397.19 | 20.06× |
qsort | 12.6 | 225.19 | 17.87× |
skiplist | 4,162 | 93,585 | 22.48× |
tree | 1.2 | 18.98 | 15.82× |
| Memory | Single | Multi | Scaling |
|---|---|---|---|
cache | 321,861 | 632,243 | 1.96× |
cachehammer | 366,979 | 9,312,358 | 25.38× |
cacheline | 33.97 | 2,204 | 64.89× |
l1cache | 193.94 | 3,327 | 17.16× |
memcpy | 296.71 | 4,938 | 16.64× |
memrate | 1.17 | 11.62 | 9.93× |
memthrash | 146.84 | 785.88 | 5.35× |
ptr-chase | 26,868,442 | 302,396,749 | 11.25× |
spinmem | 195.19 | 1,155 | 5.92× |
stream | 26.96 | 8,018 | 297.39× |
vm | 52,608 | 297,094 | 5.65× |
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-16 | 16 | 64 GiB | 1 |
| g2-standard-24 | 24 | 96 GiB | 2 |
| g2-standard-48 | 48 | 192 GiB | 4 |
| g2-standard-96 | 96 | 384 GiB | 8 |
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