a2-megagpu-16g by Google Cloud Platform

a2-megagpu-16g is a Accelerator Optimized: 16 NVIDIA Tesla A100 GPUs, 96 vCPUs, 1360GB RAM server offered by Google Cloud Platform with 96 vCPUs, 1360 GiB of memory and 0 GB of storage. The pricing starts at 33.443 USD per hour.
96 vCPU
1360 GiB Memory
16 GPU
Spare SCore
75,766
(All-cores)
1,201
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
1001096
Name
a2-megagpu-16g
Description
Accelerator Optimized: 16 NVIDIA Tesla A100 GPUs, 96 vCPUs, 1360GB RAM
Family
a2
Hw Virt
Average Time To Start
88
Status
active
Observed At
2026-09-21T19:01:52.443662

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
33.443 USD/h 55.7395 USD/h
Eemshaven (NL) / europe-west4
33.9682 USD/h 56.6266 USD/h
Jurong West (SG) / asia-southeast1
36.1955 USD/h 60.4762 USD/h

Processor

vCPUs
96
CPU Allocation
Dedicated
CPU Cores
48
CPU Speed
2.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
2 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
48 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
77 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
63.1
Scalability
131.46

System Resources and Accelerators

MEMORY
Memory Amount
1 TB
Memory Amount Actual
1 TB
GPU
GPU Count
16
GPU Memory Min
40 GiB
GPU Memory Total
640 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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)
  • 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 combining sixteen Ampere GPUs and substantial memory capacity for highly parallelized, multi-threaded computing workloads.

    GPU AcceleratedMemory OptimizedCompute Optimized

    Google Cloud Platform a2-megagpu-16g is an accelerator-optimized server featuring 16 NVIDIA Ampere A100 GPUs with 640 GB of total VRAM, 96 vCPUs on an Intel Xeon architecture, and 1360.0 GB of system memory. It contains no local storage. Benchmarks show a significant performance divergence: single-core CPU tasks and single-threaded compression rank in the bottom 25%, whereas multi-core CPU performance and cached/uncached memory read bandwidth rank in the top 25%. Other metrics, such as database operations and static web serving, perform in the average range. Qualitatively, this server offers high resource density for GPU-heavy tasks, though its single-core performance and lack of local storage present clear architectural tradeoffs. It is designed for highly parallelized workloads, including deep learning, large-scale simulations, and GPU-accelerated data science.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.32Score
    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) 6,462,670 ops/sec 1,919,696 ops/sec 3.37 50.00% 50.00% +83.60%
    Redis RPS (pipeline=16, SET) 38,061,426 ops/sec 11,736,081 ops/sec 3.24 20.00% 20.00% +26.50%
    PassMark Memory Mark (composite) 2,214 2,418 0.916 10.00% 10.00% -0.87%
    Memory bandwidth (read, 16 MB ~ L3) 167,479 MB/sec 108,260 MB/sec 1.55 10.00% 10.00% +4.48%
    PassMark single-thread CPU 1,685 Mops/s 2,365 Mops/s 0.712 10.00% 10.00% -3.34%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,046

    Geekbench Multi-Core

    Score: 11,593

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 48596
    Compression
    		 1023301
    Encryption
    		 30720
    Extended Instructions
    		 64981
    Floating Point Maths
    		 136109
    Integer Maths
    		 253182
    Physics
    		 4744
    Prime Numbers
    		 288
    Single Threaded
    		 1685
    String Sorting
    		 115178

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2214
    Database Operations
    		 19695
    Memory Latency
    		 61
    Memory Read Cached
    		 20871
    Memory Read Uncached
    		 7770
    Memory Write
    		 7671

    Stress-ng Raw Scores

    Stress-ng Relative Multicore Performance

    Static Web Server

    Redis

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    a2-highgpu-1g 1285 GiB1
    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

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    a2-megagpu-16g FAQs