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m2-ultramem-208 by Google Cloud Platform

m2-ultramem-208 is a 208 vCPUs, 5.75 TB RAM server offered by Google Cloud Platform with 208 vCPUs, 5888 GiB of memory and 0 GB of storage. The pricing starts at 42.1119 USD per hour.
208 vCPU
5888 GiB Memory
Spare SCore
183860
(All-cores)
1344
(Single-core)

Specifications

Server Metadata

Vendor ID
gcp
Server ID
804208
Name
m2-ultramem-208
Description
208 vCPUs, 5.75 TB RAM
Family
m2
Hw Virt
Average Time To Start
26
Status
active
Observed At
2026-07-29T01:14:38.081069

Availability

REGION / IDSPOTONDEMAND
Council Bluffs (US) / us-central1
- 42.1119 USD/h
Montréal (CA) / northamerica-northeast1
- 44.2752 USD/h
Eemshaven (NL) / europe-west4
- 44.2779 USD/h
Toronto (CA) / northamerica-northeast2
- 46.3231 USD/h
St. Ghislain (BE) / europe-west1
- 46.4361 USD/h
Ashburn (US) / us-east4
- 47.5388 USD/h
Las Vegas (US) / us-west4
- 47.5396 USD/h
Delhi (IN) / asia-south2
- 48.2925 USD/h
Mumbai (IN) / asia-south1
- 48.2993 USD/h
Milan (IT) / europe-west8
- 48.8498 USD/h
Jurong West (SG) / asia-southeast1
- 49.6009 USD/h
Madrid (ES) / europe-southwest1
- 49.6921 USD/h
Tokyo (JP) / asia-northeast1
- 51.4785 USD/h
Osaka (JP) / asia-northeast2
- 51.4798 USD/h
Seoul (KR) / asia-northeast3
- 51.4798 USD/h
London (GB) / europe-west2
- 51.7658 USD/h
Frankfurt (DE) / europe-west3
- 51.7658 USD/h
Sydney (AU) / australia-southeast1
- 57.0613 USD/h
Santiago (CL) / southamerica-west1
- 60.2201 USD/h
Osasco (BR) / southamerica-east1
- 63.6181 USD/h
Dammam (SA) / me-central2
- 67.3791 USD/h

Processor

vCPUs
208
CPU Allocation
Dedicated
CPU Cores
104
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU L1D Cache
32 KiB
CPU L1D Cache Total
3 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
3 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
104 MiB
CPU L3 Cache
39 MiB
CPU L3 Cache Total
154 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, 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
136.8
Scalability
131.54

System Resources and Accelerators

MEMORY
Memory Amount
6 TB
Memory Amount Actual
6 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-density memory-optimized instance featuring massive RAM capacity and strong multi-core performance for enterprise in-memory databases and caching.

      Memory Optimized

      Google Cloud Platform m2-ultramem-208 is an x86_64 memory-optimized server instance configured with 208 dedicated Intel Xeon vCPUs operating at 2.7 GHz and an extensive 5888.0 GB of RAM. This instance does not include bundled local storage or GPUs. Benchmark data highlights a significant contrast in performance: while single-core metrics are weak, multi-core CPU performance and cached memory bandwidth rank in the top 10%. Large-block memory read and write speeds and PassMark CPU scores are also strong. The primary tradeoff is lower single-threaded efficiency, making it less suitable for sequential processing. Qualitatively, the m2-ultramem-208 offers high resource density for memory-bound architectures. It is best suited for large-scale in-memory databases, massive Redis caching layers, and enterprise-grade data processing workloads requiring substantial memory capacity.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      4.51Score
      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) 16,245,235 ops/sec 1,896,415 ops/sec 8.57 50.00% 50.00% +193.00%
      Redis RPS (pipeline=16, SET) 86,887,990 ops/sec 11,539,523 ops/sec 7.53 20.00% 20.00% +49.70%
      PassMark Memory Mark (composite) 1,293 2,411 0.536 10.00% 10.00% -6.05%
      Memory bandwidth (read, 16 MB ~ L3) 333,965 MB/sec 107,368 MB/sec 3.11 10.00% 10.00% +12.00%
      PassMark single-thread CPU 1,894 Mops/s 2,363 Mops/s 0.802 10.00% 10.00% -2.18%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 961

      Geekbench Multi-Core

      Score: 8,695

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 79943
      Compression
      		 2547461
      Encryption
      		 78641
      Extended Instructions
      		 164000
      Floating Point Maths
      		 326956
      Integer Maths
      		 609568
      Physics
      		 8284
      Prime Numbers
      		 543
      Single Threaded
      		 1894
      String Sorting
      		 278021

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1293
      Database Operations
      		 15082
      Memory Latency
      		 74
      Memory Read Cached
      		 22249
      Memory Read Uncached
      		 2836
      Memory Write
      		 2962

      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-megamem-416 4165888 GiB0
      m2-hypermem-416 4168832 GiB0
      m2-ultramem-416 41611776 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      m2-ultramem-208 FAQs