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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 0.4037 USD per hour.
12 vCPU
85 GiB Memory
1 GPU
Spare SCore
9483
(All-cores)
1199
(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
2026-08-06T12:09:15.627407

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
0.4269 USD/h 0.7395 USD/h
The Dalles (US) / us-west1
0.4269 USD/h 0.7395 USD/h
Moncks Corner (US) / us-east1
0.4269 USD/h 0.7395 USD/h
Tel Aviv (IL) / me-west1
0.488 USD/h 0.8134 USD/h
Eemshaven (NL) / europe-west4
0.4045 USD/h 0.8141 USD/h
Las Vegas (US) / us-west4
0.4037 USD/h 0.8328 USD/h
Salt Lake City (US) / us-west3
0.5329 USD/h 0.8882 USD/h
Jurong West (SG) / asia-southeast1
0.5474 USD/h 0.9122 USD/h
Seoul (KR) / asia-northeast3
0.5541 USD/h 0.948 USD/h
Tokyo (JP) / asia-northeast1
0.5688 USD/h 0.948 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 instance pairing an NVIDIA A100 GPU with dedicated Intel Xeon processors for high-throughput machine learning inference.

    GPU AcceleratedMemory Optimized

    Google Cloud Platform a2-highgpu-1g is an accelerator-optimized server designed for GPU-intensive workloads. It features a dedicated Intel Xeon CPU with 12 vCPUs, 6 physical cores, and a 2.2 GHz clock speed, paired with 85 GB of system memory. The primary hardware highlight is a bundled NVIDIA Ampere A100 GPU with 40 GB of VRAM. While single-core CPU benchmarks place this instance in the bottom 25% and multi-core performance sits in the middle 50%, its GPU capabilities deliver top-tier performance for large language model inference, particularly with 135M and 7B parameter models. Local storage is not included. This instance is highly cost-effective for machine learning, deep learning, and data science tasks that offload processing to the GPU, though it is less suited for CPU-bound or storage-heavy workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.56Score
    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 1,910,660 ops/sec 0.483 50.00% 50.00% -30.50%
    Redis RPS (pipeline=16, SET) 5,646,966 ops/sec 11,608,287 ops/sec 0.486 20.00% 20.00% -13.40%
    PassMark Memory Mark (composite) 2,333 2,416 0.966 10.00% 10.00% -0.34%
    Memory bandwidth (read, 16 MB ~ L3) 75,589 MB/sec 107,896 MB/sec 0.701 10.00% 10.00% -3.49%
    PassMark single-thread CPU 1,698 Mops/s 2,364 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