a2-highgpu-1g by Google Cloud Platform

a2-highgpu-1g is a Accelerator Optimized: 1 NVIDIA Tesla A100 GPU, 12 vCPUs, 85GB RAM server offered by Google Cloud Platform with 12 vCPUs, 85 GiB of memory and 0 GB of storage. The pricing starts at 2.0927 USD per hour.
12 vCPU
85 GiB Memory
1 GPU
Spare SCore
9,483
(All-cores)
1,199
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1000012
Name
a2-highgpu-1g
Description
Accelerator Optimized: 1 NVIDIA Tesla A100 GPU, 12 vCPUs, 85GB RAM
Family
a2
Hw Virt
Average Time To Start
26
Status
active
Observed At
2026-09-20T19:58:00.201055

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
2.204 USD/h 3.6734 USD/h
The Dalles (US) / us-west1
2.204 USD/h 3.6734 USD/h
Moncks Corner (US) / us-east1
2.204 USD/h 3.6734 USD/h
Eemshaven (NL) / europe-west4
2.2483 USD/h 3.748 USD/h
Las Vegas (US) / us-west4
2.0927 USD/h 3.9344 USD/h
Jurong West (SG) / asia-southeast1
2.4023 USD/h 4.0138 USD/h
Tel Aviv (IL) / me-west1
2.4244 USD/h 4.0407 USD/h
Tokyo (JP) / asia-northeast1
2.4236 USD/h 4.0496 USD/h
Seoul (KR) / asia-northeast3
2.4236 USD/h 4.0496 USD/h
Salt Lake City (US) / us-west3
2.5885 USD/h 4.3251 USD/h

Processor

vCPUs
12
CPU Allocation
Dedicated
CPU Cores
6
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
7.9
Scalability
131.67

System Resources and Accelerators

MEMORY
Memory Amount
85 GiB
Memory Amount Actual
85 GiB
GPU
GPU Count
1
GPU Memory Min
40 GiB
GPU Memory Total
40 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)
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 featuring an NVIDIA A100 GPU and 85GB RAM, designed for high-efficiency machine learning and parallel computing workloads.

    GPU AcceleratedMemory Optimized

    Google Cloud Platform a2-highgpu-1g is an accelerator-optimized server designed for GPU-intensive workloads. It features an Intel Xeon x86_64 processor with 12 dedicated vCPUs, 6 physical cores, and 85.0 GB of system memory. The primary hardware highlight is a single NVIDIA Ampere A100 GPU with 40 GB of VRAM. No local storage is bundled. While single-core CPU benchmarks and general text processing show weak performance, the server delivers top-tier results in LLM inference for small and medium models. Multi-core performance, memory bandwidth, and database operations remain in the average tier. This server is qualitatively cost-effective for workloads that heavily leverage GPU acceleration, such as machine learning inference, data science, and parallel computing, whereas standard CPU-bound tasks will underutilize its specialized hardware.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.557Score
    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) 921,933 ops/sec 1,919,696 ops/sec 0.48 50.00% 50.00% -30.70%
    Redis RPS (pipeline=16, SET) 5,646,966 ops/sec 11,736,081 ops/sec 0.481 20.00% 20.00% -13.60%
    PassMark Memory Mark (composite) 2,333 2,418 0.965 10.00% 10.00% -0.36%
    Memory bandwidth (read, 16 MB ~ L3) 75,589 MB/sec 108,260 MB/sec 0.698 10.00% 10.00% -3.53%
    PassMark single-thread CPU 1,698 Mops/s 2,365 Mops/s 0.718 10.00% 10.00% -3.26%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,060

    Geekbench Multi-Core

    Score: 5,399

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 10529
    Compression
    		 141009
    Encryption
    		 4354
    Extended Instructions
    		 8926
    Floating Point Maths
    		 17048
    Integer Maths
    		 31697
    Physics
    		 1217
    Prime Numbers
    		 64
    Single Threaded
    		 1698
    String Sorting
    		 16898

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2333
    Database Operations
    		 3886
    Memory Latency
    		 55
    Memory Read Cached
    		 20650
    Memory Read Uncached
    		 9599
    Memory Write
    		 9200

    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-ultragpu-1g 12170 GiB1
    a2-highgpu-2g 24170 GiB2
    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-1g FAQs