m8gn.12xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | m8gn.12xlarge |
Description | General purpose [AWS Graviton processors] [Network and EBS optimized] Gen8 12xlarge |
Family | m8gn |
Hw Virt | |
Status | active |
Observed At | 2026-09-10T00:38:20.033496 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 1.162333 USD/h | 3.492 USD/h |
Northern Virgina (US) / us-east-1 | 1.037075 USD/h | 3.492 USD/h |
Dublin (IE) / eu-west-1 | 1.245667 USD/h | 3.9029 USD/h |
Processor
vCPUs | 48 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 48 |
CPU Speed | 2.8 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
CPU Family | ARMv9 |
CPU Model | Neoverse-V2 |
CPU L1D Cache | 64 KiB |
CPU L1D Cache Total | 3 MiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 3 MiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 96 MiB |
CPU L3 Cache | 36 MiB |
CPU L3 Cache Total | 36 MiB |
CPU Flags | fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, sb, paca, pacg, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, rng, bti |
Ecpus | 48 |
Scalability | 100 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 192 GiB |
Memory Amount Actual | 189 GiB |
| GPU | |
|---|---|
GPU Count | 0 |
GPU Memory Min | 0 MiB |
GPU Memory Total | 0 MiB |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 0 GB |
Storages |
| NETWORK | |
|---|---|
Network Speed Baseline | 150 Gbps |
Network Speed Max | 150 Gbps |
Network Storage Speed Baseline | 30 Gbps |
Network Storage Speed Max | 30 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An ARM64 general-purpose instance delivering high-bandwidth networking, exceptional memory throughput, and strong multi-core performance for database and compilation workloads.
Amazon Web Services m8gn.12xlarge is a general-purpose, network-optimized server instance powered by the Nitro hypervisor and 48 dedicated ARM64 AWS Graviton Neoverse-V2 physical cores running at 2.8 GHz. Featuring 192.0 GB of system memory (4.0 GB per core) and a baseline network bandwidth of 150 Gbps, this instance lacks local storage and GPU accelerators. In benchmark testing, the m8gn.12xlarge demonstrates top-tier multi-core performance, particularly in software compilation, database operations, and uncached memory bandwidth. Single-core performance is average, but multi-threaded capabilities are highly efficient. The instance is qualitatively cost-effective for resource-dense, network-heavy applications. It is best suited for multi-threaded workloads such as database management, static web serving, software compilation, and medium-to-large scale LLM text generation.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 36146 |
Compression | 319069 |
Encryption | 9076 |
Extended Instructions | 44245 |
Floating Point Maths | 290907 |
Integer Maths | 250411 |
Physics | 13492 |
Prime Numbers | 585 |
Single Threaded | 1944 |
String Sorting | 221102 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 3383 |
Database Operations | 47761 |
Memory Latency | 45 |
Memory Read Cached | 20060 |
Memory Read Uncached | 20325 |
Memory Write | 21288 |
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 |
|---|---|---|---|
| m8gn.medium | 1 | 4 GiB | 0 |
| m8gn.large | 2 | 8 GiB | 0 |
| m8gn.xlarge | 4 | 16 GiB | 0 |
| m8gn.2xlarge | 8 | 32 GiB | 0 |
| m8gn.4xlarge | 16 | 64 GiB | 0 |
| m8gn.8xlarge | 32 | 128 GiB | 0 |
| m8gn.16xlarge | 64 | 256 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|