m2-ultramem-416 by Google Cloud Platform

m2-ultramem-416 is a 416 vCPUs, 11.50 TB RAM server offered by Google Cloud Platform with 416 vCPUs, 11776 GiB of memory and 0 GB of storage. The pricing starts at 84.2239 USD per hour.
416 vCPU
11776 GiB Memory
Spare SCore
353,161
(All-cores)
1,326
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
804416
Name
m2-ultramem-416
Description
416 vCPUs, 11.50 TB RAM
Family
m2
Hw Virt
Average Time To Start
23
Status
active
Observed At
2026-09-10T23:04:46.039274

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
- 84.2239 USD/h
Montréal (CA) / northamerica-northeast1
- 88.5505 USD/h
Eemshaven (NL) / europe-west4
- 88.5558 USD/h
Toronto (CA) / northamerica-northeast2
- 92.6463 USD/h
St. Ghislain (BE) / europe-west1
- 92.8722 USD/h
Ashburn (US) / us-east4
- 95.0775 USD/h
Las Vegas (US) / us-west4
- 95.0793 USD/h
Delhi (IN) / asia-south2
- 96.585 USD/h
Mumbai (IN) / asia-south1
- 96.5986 USD/h
Milan (IT) / europe-west8
- 97.6997 USD/h
Jurong West (SG) / asia-southeast1
- 99.2018 USD/h
Madrid (ES) / europe-southwest1
- 99.3842 USD/h
Tokyo (JP) / asia-northeast1
- 102.9569 USD/h
Osaka (JP) / asia-northeast2
- 102.9596 USD/h
Seoul (KR) / asia-northeast3
- 102.9596 USD/h
London (GB) / europe-west2
- 103.5317 USD/h
Frankfurt (DE) / europe-west3
- 103.5317 USD/h
Sydney (AU) / australia-southeast1
- 114.1226 USD/h
Santiago (CL) / southamerica-west1
- 120.4401 USD/h
Osasco (BR) / southamerica-east1
- 127.2362 USD/h
Dammam (SA) / me-central2
- 134.7582 USD/h

Processor

vCPUs
416
CPU Allocation
Dedicated
CPU Cores
208
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
7 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
7 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
208 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
308 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, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, invpcid_single, 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
266.3
Scalability
128.03

System Resources and Accelerators

MEMORY
Memory Amount
12 TB
Memory Amount Actual
12 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

      An ultra-high-capacity memory-optimized server featuring hundreds of dedicated cores and terabytes of RAM for massive in-memory enterprise workloads.

      Memory Optimized

      Google Cloud Platform m2-ultramem-416 is an x86_64 memory-optimized server featuring 416 dedicated Intel Xeon vCPUs and 11.50 TB of RAM. This configuration provides 28.31 GB of memory per core, with no local storage or GPUs included. While single-core performance is weak, multi-core benchmarks and memory bandwidth are in the top tier, with cached read speeds of 20,571.16 GB/sec and Redis SET operations reaching 324.46 million operations per second. The server's high-density memory architecture is qualitatively cost-efficient for massive in-memory workloads rather than general-purpose tasks. It is best suited for large-scale in-memory databases, enterprise ERP systems, and heavy memory-bound data processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      6.45Score
      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) 22,656,308 ops/sec 1,917,397 ops/sec 11.8 50.00% 50.00% +244.00%
      Redis RPS (pipeline=16, SET) 166,356,523 ops/sec 11,681,410 ops/sec 14.2 20.00% 20.00% +70.00%
      PassMark Memory Mark (composite) 1,310 2,418 0.542 10.00% 10.00% -5.94%
      Memory bandwidth (read, 16 MB ~ L3) 665,873 MB/sec 108,140 MB/sec 6.16 10.00% 10.00% +19.90%
      PassMark single-thread CPU 1,905 Mops/s 2,365 Mops/s 0.806 10.00% 10.00% -2.13%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,004

      Geekbench Multi-Core

      Score: 8,585

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      101659
      Compression
      5069745
      Encryption
      153569
      Extended Instructions
      331946
      Floating Point Maths
      662845
      Integer Maths
      1232800
      Physics
      15894
      Prime Numbers
      1136
      Single Threaded
      1905
      String Sorting
      553505

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1310
      Database Operations
      15230
      Memory Latency
      72
      Memory Read Cached
      22198
      Memory Read Uncached
      2824
      Memory Write
      2997

      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
      m2-ultramem-208 2085888 GiB0
      m2-megamem-416 4165888 GiB0
      m2-hypermem-416 4168832 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      m2-ultramem-416 FAQs