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m1-megamem-96 by Google Cloud Platform

m1-megamem-96 is a 96 vCPUs, 1.4 TB RAM server offered by Google Cloud Platform with 96 vCPUs, 1434 GiB of memory and 0 GB of storage. The pricing starts at 1.0126 USD per hour.
96 vCPU
1434 GiB Memory
Spare SCore
70553
(All-cores)
1273
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
9196
Name
m1-megamem-96
Description
96 vCPUs, 1.4 TB RAM
Family
m1
Hw Virt
Average Time To Start
21
Status
active
Observed At
2026-08-04T19:13:27.257542

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
2.051 USD/h 10.6522 USD/h
The Dalles (US) / us-west1
2.051 USD/h 10.6522 USD/h
Moncks Corner (US) / us-east1
2.051 USD/h 10.6522 USD/h
Montréal (CA) / northamerica-northeast1
1.0126 USD/h 11.1973 USD/h
Eemshaven (NL) / europe-west4
1.3409 USD/h 11.1979 USD/h
St. Ghislain (BE) / europe-west1
2.0338 USD/h 11.7432 USD/h
Las Vegas (US) / us-west4
1.0815 USD/h 12.0227 USD/h
Ashburn (US) / us-east4
1.9542 USD/h 12.0227 USD/h
Mumbai (IN) / asia-south1
1.1322 USD/h 12.2148 USD/h
Los Angeles (US) / us-west2
1.4949 USD/h 12.2168 USD/h
Changhua County (TW) / asia-east1
1.6873 USD/h 12.3622 USD/h
Jurong West (SG) / asia-southeast1
1.6793 USD/h 12.5422 USD/h
Tokyo (JP) / asia-northeast1
1.9538 USD/h 13.0266 USD/h
London (GB) / europe-west2
1.1772 USD/h 13.0918 USD/h
Frankfurt (DE) / europe-west3
1.3921 USD/h 13.0918 USD/h
Jakarta (ID) / asia-southeast2
1.2317 USD/h 13.6758 USD/h
Zurich (CH) / europe-west6
1.2552 USD/h 13.9531 USD/h
Osasco (BR) / southamerica-east1
1.6505 USD/h 16.0979 USD/h

Processor

vCPUs
96
CPU Allocation
Dedicated
CPU Cores
48
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, pti, ssbd, ibrs, ibpb, stibp, 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, md_clear, arch_capabilities
Ecpus
55.4
Scalability
115.42

System Resources and Accelerators

MEMORY
Memory Amount
1 TB
Memory Amount Actual
1 TB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    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

      A high-capacity memory-optimized platform featuring ninety-six dedicated vCPUs and over one terabyte of RAM for memory-intensive enterprise workloads.

      Memory Optimized

      Google Cloud Platform m1-megamem-96 is a memory-optimized instance featuring 96 dedicated vCPUs and 1434.0 GB of RAM, running on an Intel Xeon x86_64 architecture with 48 physical cores. The instance lacks bundled local storage and GPU accelerators. Performance benchmarks reveal a distinct tradeoff: single-core CPU performance is weak, ranking in the bottom 25%, whereas multi-core CPU performance and memory read bandwidth are strong, placing in the top 25%. Specifically, cached read bandwidth reaches 3918.5 GB/sec. This hardware profile is qualitatively optimized for high-density memory configurations rather than raw single-threaded speed. It is best suited for memory-intensive workloads, such as large in-memory databases, enterprise applications, and multi-threaded data processing tasks that require substantial memory capacity and high memory bandwidth.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.04Score
      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) 5,180,667 ops/sec 1,910,660 ops/sec 2.71 50.00% 50.00% +64.60%
      Redis RPS (pipeline=16, SET) 35,160,840 ops/sec 11,608,287 ops/sec 3.03 20.00% 20.00% +24.80%
      PassMark Memory Mark (composite) 2,125 2,416 0.88 10.00% 10.00% -1.27%
      Memory bandwidth (read, 16 MB ~ L3) 150,881 MB/sec 107,896 MB/sec 1.4 10.00% 10.00% +3.42%
      PassMark single-thread CPU 1,813 Mops/s 2,364 Mops/s 0.767 10.00% 10.00% -2.62%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,026

      Geekbench Multi-Core

      Score: 10,625

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 49281
      Compression
      		 1011448
      Encryption
      		 30963
      Extended Instructions
      		 63076
      Floating Point Maths
      		 126703
      Integer Maths
      		 235875
      Physics
      		 4776
      Prime Numbers
      		 297
      Single Threaded
      		 1813
      String Sorting
      		 114080

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2125
      Database Operations
      		 18852
      Memory Latency
      		 67
      Memory Read Cached
      		 21994
      Memory Read Uncached
      		 7432
      Memory Write
      		 7430

      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
      m1-ultramem-40 40961 GiB0
      m1-ultramem-80 801922 GiB0
      m1-ultramem-160 1603844 GiB0

      Similar Servers

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      m1-megamem-96 FAQs