c5ad.2xlarge by Amazon Web Services

c5ad.2xlarge is a Compute optimized [AMD processors] [Instance store volumes] Gen5 2xlarge server offered by Amazon Web Services with 8 vCPUs, 16 GiB of memory and 300 GB of storage. The pricing starts at 0.1192 USD per hour.
8 vCPU
16 GiB Memory
300 GB Storage
Spare SCore
3,041
(All-cores)
767
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c5ad.2xlarge
Description
Compute optimized [AMD processors] [Instance store volumes] Gen5 2xlarge
Family
c5ad
Hw Virt
Status
active
Observed At
2026-11-01T13:05:52.360368

Availability

REGION / IDSPOTONDEMAND
Northern Virgina (US) / us-east-1
0.17374 USD/h 0.344 USD/h
Oregon (US) / us-west-2
0.1624 USD/h 0.344 USD/h
Ohio (US) / us-east-2
0.1634 USD/h 0.344 USD/h
Dublin (IE) / eu-west-1
0.211467 USD/h 0.392 USD/h
Frankfurt (DE) / eu-central-1
0.1991 USD/h 0.4 USD/h
Singapore (SG) / ap-southeast-1
0.19265 USD/h 0.404 USD/h
Milan (IT) / eu-south-1
0.1451 USD/h 0.412 USD/h
Sydney (AU) / ap-southeast-2
0.219967 USD/h 0.452 USD/h
Cape Town (ZA) / af-south-1
0.182633 USD/h 0.468 USD/h
Sao Paulo (BR) / sa-east-1
0.1194 USD/h 0.536 USD/h

Processor

vCPUs
8
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
3.3 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7R32
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
16 MiB
CPU L3 Cache Total
16 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, nonstop_tsc, cpuid, extd_apicid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, sse4_1, sse4_2, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, fsgsbase, bmi1, avx2, smep, bmi2, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, clzero, xsaveerptr, rdpru, wbnoinvd, arat, npt, nrip_save, rdpid
Ecpus
4
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
Memory Generation
DDR4
Memory Speed
2933 Mhz
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    300 GB
    Storage Type
    nvme ssd
    Storages
    • 300 GB nvme ssd
    NETWORK
    Network Speed Baseline
    2.5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    0.8 Gbps
    Network Storage Speed Max
    3.17 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An AMD-powered compute-optimized instance featuring dedicated vCPUs and high-speed local NVMe storage for balanced web serving and database workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c5ad.2xlarge is an x86_64 compute-optimized instance powered by an AMD EPYC 7R32 processor running at 3.3 GHz. It features 8 dedicated vCPUs, 16.0 GB of DDR4 RAM, and a bundled 300 GB NVMe SSD local instance store. Operating on the Nitro hypervisor, it provides a baseline network bandwidth of 2 Gbps. Benchmark data shows average performance in Geekbench single-core and multi-core tests, alongside average Passmark CPU and database scores. However, stress-ng CPU tests and uncached large-block memory bandwidth benchmarks fall into the lower percentiles. This instance is qualitatively cost-effective for compute-focused workloads requiring fast local storage, such as static web serving, software compilation, and Redis database operations, while showing performance limitations on larger language model inference tasks.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.42Score
    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) 659,705 ops/sec 1,918,343 ops/sec 0.35 50.00% 50.00% -41.00%
    Redis RPS (pipeline=16, SET) 4,345,184 ops/sec 11,704,734 ops/sec 0.36 20.00% 20.00% -18.00%
    PassMark Memory Mark (composite) 2,342 2,416 0.96 10.00% 10.00% -0.41%
    Memory bandwidth (read, 16 MB ~ L3) 35,002 MB/sec 108,466 MB/sec 0.32 10.00% 10.00% -11.00%
    PassMark single-thread CPU 2,132 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,335

    Geekbench Multi-Core

    Score: 5,016

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 10,536
    Compression
    		 121,201
    Encryption
    		 8,549
    Extended Instructions
    		 7,336
    Floating Point Maths
    		 16,103
    Integer Maths
    		 26,993
    Physics
    		 975
    Prime Numbers
    		 43
    Single Threaded
    		 2,132
    String Sorting
    		 16,889

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,342
    Database Operations
    		 2,858
    Memory Latency
    		 48
    Memory Read Cached
    		 24,471
    Memory Read Uncached
    		 13,031
    Memory Write
    		 13,262

    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

    INSTANCEvCPUsMEMORYAccelerators
    c5ad.large 24 GiB0
    c5ad.xlarge 48 GiB0
    c5ad.4xlarge 1632 GiB0
    c5ad.8xlarge 3264 GiB0
    c5ad.12xlarge 4896 GiB0
    c5ad.16xlarge 64128 GiB0
    c5ad.24xlarge 96192 GiB0

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    c5ad.2xlarge FAQs