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a2-highgpu-2g by Google Cloud Platform

a2-highgpu-2g is a Accelerator Optimized: 2 NVIDIA Tesla A100 GPUs, 24 vCPUs, 170GB RAM server offered by Google Cloud Platform with 24 vCPUs, 170 GiB of memory and 0 GB of storage. The pricing starts at 0.8075 USD per hour.
24 vCPU
170 GiB Memory
2 GPU
Spare SCore
18976
(All-cores)
1202
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1000024
Name
a2-highgpu-2g
Description
Accelerator Optimized: 2 NVIDIA Tesla A100 GPUs, 24 vCPUs, 170GB RAM
Family
a2
Hw Virt
Average Time To Start
57
Status
active
Observed At
2026-08-06T12:09:15.627504

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.8538 USD/h 1.479 USD/h
The Dalles (US) / us-west1
0.8538 USD/h 1.479 USD/h
Moncks Corner (US) / us-east1
0.8538 USD/h 1.479 USD/h
Tel Aviv (IL) / me-west1
0.976 USD/h 1.6268 USD/h
Eemshaven (NL) / europe-west4
0.809 USD/h 1.6281 USD/h
Las Vegas (US) / us-west4
0.8075 USD/h 1.6656 USD/h
Salt Lake City (US) / us-west3
1.0657 USD/h 1.7764 USD/h
Jurong West (SG) / asia-southeast1
1.0947 USD/h 1.8244 USD/h
Seoul (KR) / asia-northeast3
1.1082 USD/h 1.8961 USD/h
Tokyo (JP) / asia-northeast1
1.1376 USD/h 1.8961 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
170 GiB
Memory Amount Actual
170 GiB
GPU
GPU Count
2
GPU Memory Min
40 GiB
GPU Memory Total
80 GiB
GPU Manufacturer
NVIDIA
GPU Family
Ampere
GPU Model
A100
GPUs
  • NVIDIA Ampere NVIDIA A100-SXM4-40GB (Memory amount: 40960, Firmware version: 590.48.01, BIOS version: 92.00.45.00.03, Clock rate: 1410)
  • NVIDIA Ampere NVIDIA A100-SXM4-40GB (Memory amount: 40960, Firmware version: 590.48.01, BIOS version: 92.00.45.00.03, Clock rate: 1410)
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 platform featuring dual GPUs and high-capacity memory, engineered for top-tier large language model inference and parallel computing workloads.

    GPU AcceleratedMemory Optimized

    Google Cloud Platform a2-highgpu-2g is an accelerator-optimized server designed for GPU-intensive workloads. It features two NVIDIA Ampere A100 GPUs with 80 GB of total VRAM, paired with an Intel Xeon x86_64 processor offering 24 dedicated vCPUs (12 physical cores) running at 2.2 GHz. The system includes 170.0 GB of RAM but lacks local storage. Benchmark data shows that while single-core CPU performance is in the bottom 25%, multi-core and memory bandwidth metrics are average. Crucially, the server delivers top-tier performance in the top 10% for large language model (LLM) prompt processing and text generation across medium and large models. This profile aligns with machine learning inference, deep learning, and parallel GPU computing, whereas it is less optimal for sequential CPU-bound tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.955Score
    Precomputed compound score for Cache Intensive workloads. A weighted average (geometric mean) of benchmark scores compared to their medians: score = ∏ (x_i / m_i)^(w_i / Σw). The score of 1.0 represents a synthetic baseline server with the median performance of each component benchmark; 0.5 means roughly half the performance; and 2.0 means twice the performance of that reference profile. Component weights: 50% Redis RPS (pipeline=1, SET), 20% Redis RPS (pipeline=16, SET), 10% PassMark Memory Mark (composite), 10% Memory bandwidth (read, 16 MB ~ L3), 10% PassMark single-thread CPU. Rationale for component selection: In-memory key-value store workload, mixing direct Redis performance metrics with memory speed and latency benchmarks, and single-core CPU performance profiles.
    Component Score Weight Impact
    Raw Reference Normalized Target Actual
    Redis RPS (pipeline=1, SET) 1,844,266 ops/sec 1,910,660 ops/sec 0.965 50.00% 50.00% -1.77%
    Redis RPS (pipeline=16, SET) 11,433,281 ops/sec 11,608,287 ops/sec 0.985 20.00% 20.00% -0.30%
    PassMark Memory Mark (composite) 2,483 2,416 1.03 10.00% 10.00% +0.30%
    Memory bandwidth (read, 16 MB ~ L3) 114,321 MB/sec 107,896 MB/sec 1.06 10.00% 10.00% +0.58%
    PassMark single-thread CPU 1,693 Mops/s 2,364 Mops/s 0.716 10.00% 10.00% -3.29%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,066

    Geekbench Multi-Core

    Score: 8,247

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 19022
    Compression
    		 278622
    Encryption
    		 8685
    Extended Instructions
    		 18027
    Floating Point Maths
    		 34100
    Integer Maths
    		 63469
    Physics
    		 1952
    Prime Numbers
    		 102
    Single Threaded
    		 1693
    String Sorting
    		 32865

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2483
    Database Operations
    		 7693
    Memory Latency
    		 56
    Memory Read Cached
    		 20838
    Memory Read Uncached
    		 10561
    Memory Write
    		 9923

    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

    INSTANCEvCPUsMEMORYGPUs
    a2-highgpu-1g 1285 GiB1
    a2-ultragpu-1g 12170 GiB1
    a2-ultragpu-2g 24340 GiB2
    a2-highgpu-4g 48340 GiB4
    a2-ultragpu-4g 48680 GiB4
    a2-highgpu-8g 96680 GiB8
    a2-ultragpu-8g 961360 GiB8

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    a2-highgpu-2g FAQs