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m2-hypermem-416 by Google Cloud Platform

m2-hypermem-416 is a 416 vCPUs, 8.625 TB RAM server offered by Google Cloud Platform with 416 vCPUs, 8832 GiB of memory and 0 GB of storage. The pricing starts at 67.2576 USD per hour.
416 vCPU
8832 GiB Memory
Spare SCore
370889
(All-cores)
1353
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
804417
Name
m2-hypermem-416
Description
416 vCPUs, 8.625 TB RAM
Family
m2
Hw Virt
Average Time To Start
36.4
Status
active
Observed At
2026-08-01T15:25:29.527384

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
- 67.2576 USD/h
Montréal (CA) / northamerica-northeast1
- 70.7073 USD/h
Eemshaven (NL) / europe-west4
- 70.7112 USD/h
Toronto (CA) / northamerica-northeast2
- 73.9834 USD/h
St. Ghislain (BE) / europe-west1
- 74.1568 USD/h
Ashburn (US) / us-east4
- 75.9183 USD/h
Las Vegas (US) / us-west4
- 75.92 USD/h
Delhi (IN) / asia-south2
- 77.1231 USD/h
Mumbai (IN) / asia-south1
- 77.1333 USD/h
Milan (IT) / europe-west8
- 78.0188 USD/h
Jurong West (SG) / asia-southeast1
- 79.2085 USD/h
Madrid (ES) / europe-southwest1
- 79.364 USD/h
Tokyo (JP) / asia-northeast1
- 82.2291 USD/h
Osaka (JP) / asia-northeast2
- 82.2318 USD/h
Seoul (KR) / asia-northeast3
- 82.2318 USD/h
London (GB) / europe-west2
- 82.67 USD/h
Frankfurt (DE) / europe-west3
- 82.67 USD/h
Sydney (AU) / australia-southeast1
- 91.1299 USD/h
Santiago (CL) / southamerica-west1
- 96.1784 USD/h
Osasco (BR) / southamerica-east1
- 101.6204 USD/h
Dammam (SA) / me-central2
- 107.6122 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, vmx, 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, tpr_shadow, vnmi, flexpriority, ept, vpid, ept_ad, 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
274.1
Scalability
131.78

System Resources and Accelerators

MEMORY
Memory Amount
9 TB
Memory Amount Actual
9 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 massive memory-optimized instance featuring 8.625 TB of RAM and 416 vCPUs for large-scale in-memory database workloads.

      Memory OptimizedGeneral Purpose

      Google Cloud Platform m2-hypermem-416 is a memory-optimized server featuring 416 vCPUs and 8.625 TB of RAM. It lacks local storage and GPUs. While single-core benchmarks like stress-ng and Geekbench single-core fall in the bottom 25%, its multi-core capabilities are in the top 10%, as demonstrated by stress-ng multi-core and Passmark CPU scores. Memory bandwidth is exceptionally strong, with both cached and uncached read/write operations ranking in the top 10%. This instance is designed for massive in-memory databases and heavy multi-threaded data processing, though it exhibits weak single-threaded efficiency and poor LLM text generation speeds.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      6.46Score
      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) 22,960,420 ops/sec 1,896,415 ops/sec 12.1 50.00% 50.00% +248.00%
      Redis RPS (pipeline=16, SET) 155,099,563 ops/sec 11,539,523 ops/sec 13.4 20.00% 20.00% +68.00%
      PassMark Memory Mark (composite) 1,298 2,411 0.538 10.00% 10.00% -6.01%
      Memory bandwidth (read, 16 MB ~ L3) 653,362 MB/sec 107,368 MB/sec 6.09 10.00% 10.00% +19.80%
      PassMark single-thread CPU 1,936 Mops/s 2,363 Mops/s 0.819 10.00% 10.00% -1.98%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,014

      Geekbench Multi-Core

      Score: 8,540

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 101523
      Compression
      		 4836695
      Encryption
      		 132486
      Extended Instructions
      		 335026
      Floating Point Maths
      		 624726
      Integer Maths
      		 1176653
      Physics
      		 16399
      Prime Numbers
      		 1157
      Single Threaded
      		 1936
      String Sorting
      		 548059

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1298
      Database Operations
      		 14851
      Memory Latency
      		 73
      Memory Read Cached
      		 22599
      Memory Read Uncached
      		 2805
      Memory Write
      		 2954

      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-ultramem-416 41611776 GiB0

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      m2-hypermem-416 FAQs