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m8azn.6xlarge by Amazon Web Services

m8azn.6xlarge is a General purpose [AMD processors] [Network and EBS optimized] [High performance] Gen8 6xlarge server offered by Amazon Web Services with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.6966 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
100664
(All-cores)
4189
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
m8azn.6xlarge
Description
General purpose [AMD processors] [Network and EBS optimized] [High performance] Gen8 6xlarge
Family
m8azn
Hw Virt
Status
active
Observed At
2026-07-19T03:08:40.337323

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.826467 USD/h 2.4775 USD/h
Northern Virgina (US) / us-east-1
1.19285 USD/h 2.4775 USD/h
Oregon (US) / us-west-2
0.961267 USD/h 2.4775 USD/h
Dublin (IE) / eu-west-1
1.374867 USD/h 2.7616 USD/h
Frankfurt (DE) / eu-central-1
1.002767 USD/h 2.968 USD/h
Tokyo (JP) / ap-northeast-1
0.7773 USD/h 3.2003 USD/h

Processor

vCPUs
24
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
24
CPU Speed
5 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9R05
CPU L1D Cache
48 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
768 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
24 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
128 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, extd_apicid, aperfmperf, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, topoext, perfctr_core, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx_vnni, avx512_bf16, clzero, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, movdiri, movdir64b, fsrm, avx512_vp2intersect, flush_l1d
Ecpus
24
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 GiB
Memory Generation
DDR5
Memory Speed
6400 Mhz
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
      50 Gbps
      Network Speed Max
      50 Gbps
      Network Storage Speed Baseline
      15 Gbps
      Network Storage Speed Max
      15 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Server Description

      A high-frequency general-purpose instance featuring dedicated AMD EPYC processing, rapid DDR5 memory, and high-speed baseline network connectivity.

      General PurposeCompute Optimized

      Amazon Web Services m8azn.6xlarge is a general-purpose, network and EBS-optimized server powered by a dedicated 24-core AMD EPYC 9R05 processor running at 5.0 GHz. Built on the x86_64 architecture and managed by the Nitro hypervisor, it features 96.0 GB of DDR5 memory running at 6 GHz, yielding a balanced 4.0 GB of RAM per core. The instance lacks local storage and GPUs, relying on network-attached storage and a 50 Gbps baseline network bandwidth. Benchmarks highlight top-tier single-core CPU performance, high large-block memory bandwidth, and excellent database operation speeds. It is optimized for workloads such as database management, software compilation, static web serving, and CPU-based LLM inference.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      4.14Score
      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) 9,954,567 ops/sec 1,895,838 ops/sec 5.25 50.00% 50.00% +129.00%
      Redis RPS (pipeline=16, SET) 65,227,780 ops/sec 11,497,234 ops/sec 5.67 20.00% 20.00% +41.50%
      PassMark Memory Mark (composite) 2,962 2,410 1.23 10.00% 10.00% +2.09%
      Memory bandwidth (read, 16 MB ~ L3) 552,788 MB/sec 107,331 MB/sec 5.15 10.00% 10.00% +17.80%
      PassMark single-thread CPU 4,256 Mops/s 2,363 Mops/s 1.8 10.00% 10.00% +6.05%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 3,108

      Geekbench Multi-Core

      Score: 28,537

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      72662
      Compression
      894669
      Encryption
      42472
      Extended Instructions
      83222
      Floating Point Maths
      204428
      Integer Maths
      203867
      Physics
      10730
      Prime Numbers
      758
      Single Threaded
      4256
      String Sorting
      120169

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2962
      Database Operations
      34142
      Memory Latency
      83
      Memory Read Cached
      37835
      Memory Read Uncached
      35858
      Memory Write
      35748

      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
      m8azn.medium 14 GiB0
      m8azn.large 28 GiB0
      m8azn.xlarge 416 GiB0
      m8azn.3xlarge 1248 GiB0
      m8azn.12xlarge 48192 GiB0
      m8azn.metal-12xl 48192 GiB0
      m8azn.24xlarge 96384 GiB0

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      m8azn.6xlarge FAQs