m7gd.metal by Amazon Web Services
m7gd.metal is a General purpose [AWS Graviton processors] [Instance store volumes] Gen7 metal server offered by Amazon Web Services with 64 vCPUs, 256 GiB of memory and 3.8 TB of storage. The pricing starts at 0.3443 USD per hour.
64 vCPU
256 GiB Memory
3.8 TB Storage
Spare SCore
98066
(All-cores)
(All-cores)
1535
(Single-core)
(Single-core)
Specifications
Server Metadata
Vendor ID | aws |
Name | m7gd.metal |
Description | General purpose [AWS Graviton processors] [Instance store volumes] Gen7 metal |
Family | m7gd |
Status | active |
Observed At | 2026-04-01T09:29:52.059723 |
Availability
| REGION / ID | SPOT | ONDEMAND |
|---|---|---|
Mumbai (IN) / ap-south-1 | 0.923667 USD/h | 2.272 USD/h |
Ohio (US) / us-east-2 | 0.5219 USD/h | 3.4171 USD/h |
Oregon (US) / us-west-2 | 0.7405 USD/h | 3.4171 USD/h |
Northern Virgina (US) / us-east-1 | 0.84518 USD/h | 3.4171 USD/h |
(MX) / mx-central-1 | 1.246567 USD/h | 3.5878 USD/h |
(TH) / ap-southeast-7 | 0.499567 USD/h | 3.6243 USD/h |
(MY) / ap-southeast-5 | 1.1715 USD/h | 3.6243 USD/h |
Stockholm (SE) / eu-north-1 | 0.3713 USD/h | 3.6288 USD/h |
Aragón (ES) / eu-south-2 | 0.381 USD/h | 3.8102 USD/h |
Dublin (IE) / eu-west-1 | 0.871133 USD/h | 3.8102 USD/h |
Taipei (TW) / ap-east-2 | 1.5404 USD/h | 3.9738 USD/h |
Paris (FR) / eu-west-3 | 0.5839 USD/h | 3.9917 USD/h |
California (US) / us-west-1 | 0.58865 USD/h | 4.0219 USD/h |
Frankfurt (DE) / eu-central-1 | 0.804467 USD/h | 4.1126 USD/h |
United Arab Emirates / me-central-1 | 0.4514 USD/h | 4.1914 USD/h |
Seoul (KR) / ap-northeast-2 | 0.5218 USD/h | 4.2035 USD/h |
Singapore (SG) / ap-southeast-1 | 1.332967 USD/h | 4.2638 USD/h |
Sydney (AU) / ap-southeast-2 | 0.726833 USD/h | 4.2941 USD/h |
Tokyo (JP) / ap-northeast-1 | 0.621467 USD/h | 4.415 USD/h |
(NZ) / ap-southeast-6 | 1.476667 USD/h | 4.5088 USD/h |
Sao Paulo (BR) / sa-east-1 | 0.73445 USD/h | 5.4432 USD/h |
Processor
vCPUs | 64 |
CPU Allocation | Dedicated |
CPU Cores | 64 |
CPU Speed | 2.6 GHz |
CPU Architecture | arm64 |
CPU Manufacturer | AWS |
CPU Family | ARMv8 |
CPU Model | Neoverse-V1 |
CPU L1D Cache | 64 KiB |
CPU L1D Cache Total | 4 MiB |
CPU L1I Cache | 64 KiB |
CPU L1I Cache Total | 4 MiB |
CPU L2 Cache | 1 MiB |
CPU L2 Cache Total | 64 MiB |
CPU L3 Cache | 32 MiB |
CPU L3 Cache Total | 32 MiB |
CPU Flags | fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, sm3, sm4, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, paca, pacg, dcpodp, svei8mm, svebf16, i8mm, bf16, dgh, rng |
System Resources and Accelerators
| MEMORY | |
|---|---|
Memory Amount | 256 GiB |
Memory Generation | DDR5 |
| GPU | |
|---|---|
GPU Count | 0 |
GPUs |
| STORAGE | |
|---|---|
Storage Size | 3800 GB |
Storage Type | nvme ssd |
Storages |
|
| NETWORK | |
|---|---|
Network Speed | 30 Gbps |
Inbound Traffic | 0 GB/month |
Outbound Traffic | 0 GB/month |
IPv4 | 0 |
Economics
Performance
Memory Bandwidth
Compression
OpenSSL
Geekbench Single-Core
Score: 1,538
Geekbench Multi-Core
Score: 21,018
Passmark CPU Scores
| BENCHMARK | SCORE |
|---|---|
Mark | 34688 |
Compression | 339276 |
Encryption | 8923 |
Extended Instructions | 52919 |
Floating Point Maths | 304213 |
Integer Maths | 305798 |
Physics | 8706 |
Prime Numbers | 343 |
Single Threaded | 1564 |
String Sorting | 243901 |
Passmark Memory Scores
| BENCHMARK | SCORE |
|---|---|
Memory Mark | 3185 |
Database Operations | 31676 |
Memory Latency | 49 |
Memory Read Cached | 19734 |
Memory Read Uncached | 19105 |
Memory Write | 19761 |
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 |
|---|---|---|---|
| m7gd.medium | 1 | 4 GiB | 0 |
| m7gd.large | 2 | 8 GiB | 0 |
| m7gd.xlarge | 4 | 16 GiB | 0 |
| m7gd.2xlarge | 8 | 32 GiB | 0 |
| m7gd.4xlarge | 16 | 64 GiB | 0 |
| m7gd.8xlarge | 32 | 128 GiB | 0 |
| m7gd.12xlarge | 48 | 192 GiB | 0 |
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