m1-ultramem-160 by Google Cloud Platform
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | gcp |
Server ID | 11160 |
Name | m1-ultramem-160 |
Description | 160 vCPUs, 3844 GB RAM |
Family | m1 |
Hw Virt | |
Average Time To Start | 25 |
Status | active |
Observed At | 2026-09-12T09:38:50.014733 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Council Bluffs (US) / us-central1 | 4.1474 USD/h | 25.1724 USD/h |
The Dalles (US) / us-west1 | 4.1474 USD/h | 25.1724 USD/h |
Moncks Corner (US) / us-east1 | 4.1474 USD/h | 25.1724 USD/h |
Montréal (CA) / northamerica-northeast1 | 2.3946 USD/h | 26.4644 USD/h |
Eemshaven (NL) / europe-west4 | 4.2101 USD/h | 26.4659 USD/h |
Toronto (CA) / northamerica-northeast2 | 3.2423 USD/h | 27.6896 USD/h |
Tel Aviv (IL) / me-west1 | 5.029 USD/h | 27.6896 USD/h |
St. Ghislain (BE) / europe-west1 | 4.1093 USD/h | 27.7557 USD/h |
Las Vegas (US) / us-west4 | 2.556 USD/h | 28.4155 USD/h |
Ashburn (US) / us-east4 | 4.639 USD/h | 28.4155 USD/h |
Delhi (IN) / asia-south2 | 2.5963 USD/h | 28.865 USD/h |
Mumbai (IN) / asia-south1 | 2.6002 USD/h | 28.8696 USD/h |
Los Angeles (US) / us-west2 | 3.6711 USD/h | 28.8741 USD/h |
Milan (IT) / europe-west8 | 2.6258 USD/h | 29.2 USD/h |
Paris (FR) / europe-west9 | 2.6297 USD/h | 29.2 USD/h |
Changhua County (TW) / asia-east1 | 3.0841 USD/h | 29.219 USD/h |
Jurong West (SG) / asia-southeast1 | 3.7641 USD/h | 29.6461 USD/h |
Madrid (ES) / europe-southwest1 | 2.6947 USD/h | 29.7034 USD/h |
Osaka (JP) / asia-northeast2 | 2.7709 USD/h | 30.7746 USD/h |
Seoul (KR) / asia-northeast3 | 2.7709 USD/h | 30.7746 USD/h |
Tokyo (JP) / asia-northeast1 | 4.6281 USD/h | 30.7746 USD/h |
London (GB) / europe-west2 | 2.7824 USD/h | 30.9418 USD/h |
Warsaw (PL) / europe-central2 | 2.7824 USD/h | 30.9418 USD/h |
Frankfurt (DE) / europe-west3 | 2.7888 USD/h | 30.9418 USD/h |
Jakarta (ID) / asia-southeast2 | 2.9112 USD/h | 32.3222 USD/h |
Zurich (CH) / europe-west6 | 2.9662 USD/h | 32.9723 USD/h |
Sydney (AU) / australia-southeast1 | 3.0694 USD/h | 34.1076 USD/h |
Melbourne (AU) / australia-southeast2 | 3.2337 USD/h | 35.7448 USD/h |
Santiago (CL) / southamerica-west1 | 3.2577 USD/h | 35.9965 USD/h |
Osasco (BR) / southamerica-east1 | 3.4239 USD/h | 38.0308 USD/h |
Processor
vCPUs | 160 |
CPU Allocation | Dedicated |
CPU Cores | 80 |
CPU Speed | 2.2 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 | 256 KiB |
CPU L2 Cache Total | 20 MiB |
CPU L3 Cache | 55 MiB |
CPU L3 Cache Total | 220 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, rdseed, adx, smap, xsaveopt, arat, md_clear, arch_capabilities |
Ecpus | 95 |
Scalability | 118.75 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 4 TB |
Memory Amount Actual | 4 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 160 dedicated vCPUs and 3.8 TB of RAM for massive in-memory database workloads.
Google Cloud Platform m1-ultramem-160 is an x86_64 memory-optimized server designed for massive memory-bound workloads. It features 160 dedicated vCPUs across 80 physical Intel Xeon cores running at 2.2 GHz, paired with an extensive 3844 GB of RAM. The instance does not include local storage or GPUs. Benchmarks show a clear trade-off: single-core CPU performance is in the bottom 10%, but multi-core and memory bandwidth capabilities rank in the top 25%. This high memory throughput is reflected in strong Redis SET performance and static web serving throughput. Qualitatively, the server trades single-thread speed for extreme memory density. It is best suited for large-scale in-memory databases, enterprise caching layers, and memory-intensive data warehousing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 59126 |
Compression | 1618917 |
Encryption | 36069 |
Extended Instructions | 84617 |
Floating Point Maths | 235553 |
Integer Maths | 373453 |
Physics | 5616 |
Prime Numbers | 400 |
Single Threaded | 1661 |
String Sorting | 220173 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 1625 |
Database Operations | 16014 |
Memory Latency | 82 |
Memory Read Cached | 18426 |
Memory Read Uncached | 5112 |
Memory Write | 4932 |
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
| INSTANCE | vCPUs | MEMORY | GPUs |
|---|---|---|---|
| m1-ultramem-40 | 40 | 961 GiB | 0 |
| m1-ultramem-80 | 80 | 1922 GiB | 0 |
| m1-megamem-96 | 96 | 1434 GiB | 0 |
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