m8gn.xlarge by Amazon Web Services
(All-cores)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | m8gn.xlarge |
Description | General purpose [AWS Graviton processors] [Network and EBS optimized] Gen8 xlarge |
Family | m8gn |
Hw Virt | |
Status | active |
Observed At | 2026-08-09T23:29:59.798363 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Oregon (US) / us-west-2 | 0.093633 USD/h | 0.291 USD/h |
Northern Virgina (US) / us-east-1 | 0.123 USD/h | 0.291 USD/h |
Dublin (IE) / eu-west-1 | 0.1434 USD/h | 0.3252 USD/h |
Processor
vCPUs | 4 |
Hypervisor | nitro |
CPU Allocation | Dedicated |
CPU Cores | 4 |
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 | 256 KiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 256 KiB |
CPU L2 Cache | 2 MiB |
CPU L2 Cache Total | 8 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 | 4 |
Scalability | 100 |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 16 GiB |
Memory Amount Actual | 16 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 | 12.5 Gbps |
Network Speed Max | 40 Gbps |
Network Storage Speed Baseline | 2.5 Gbps |
Network Storage Speed Max | 10 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Server Description
An arm64 general-purpose instance with dedicated Graviton cores and balanced memory, optimized for network-reliant workloads without local storage.
Amazon Web Services m8gn.xlarge is a general-purpose, network and EBS-optimized instance powered by an arm64 AWS Graviton Neoverse-V2 processor. It features 4 dedicated physical cores running at 2.8 GHz, 16.0 GB of system memory, and a 12 Gbps baseline network bandwidth, with no local storage or GPU hardware. Performance benchmarks place the instance in the average tier for most general compute, memory bandwidth, and web serving tasks, though it demonstrates strong single-threaded bzip3 decompression. Conversely, it exhibits weak performance in cryptographic encryption and extended CPU instructions, as well as limited capabilities for local large language model inference. The instance is best suited for general-purpose workloads, static web serving, and database operations that require dedicated CPU allocation but do not demand high-performance local storage or intensive cryptographic processing.
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Geekbench Multi-Core
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 3952 |
Compression | 26476 |
Encryption | 754 |
Extended Instructions | 3679 |
Floating Point Maths | 24223 |
Integer Maths | 20852 |
Physics | 1366 |
Prime Numbers | 70 |
Single Threaded | 1944 |
String Sorting | 18525 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 2545 |
Database Operations | 6085 |
Memory Latency | 45 |
Memory Read Cached | 21198 |
Memory Read Uncached | 20325 |
Memory Write | 21210 |
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.2xlarge | 8 | 32 GiB | 0 |
| m8gn.4xlarge | 16 | 64 GiB | 0 |
| m8gn.8xlarge | 32 | 128 GiB | 0 |
| m8gn.12xlarge | 48 | 192 GiB | 0 |
| m8gn.16xlarge | 64 | 256 GiB | 0 |
Similar Servers
| INSTANCE | VENDOR | vCPUs | MEMORY | GPUs |
|---|