d3en.4xlarge by Amazon Web Services

d3en.4xlarge is a Dense storage [Network and EBS optimized] [Extra storage or memory] Gen3 4xlarge server offered by Amazon Web Services with 16 vCPUs, 64 GiB of memory and 112 TB of storage. The pricing starts at 0.2636 USD per hour.
16 vCPU
64 GiB Memory
112 TB Storage
Spare SCore
13,545
(All-cores)
1,285
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
d3en.4xlarge
Description
Dense storage [Network and EBS optimized] [Extra storage or memory] Gen3 4xlarge
Family
d3en
Hw Virt
Status
active
Observed At
2026-11-06T01:25:00.318318

Availability

REGION / IDSPOTONDEMAND
Northern Virgina (US) / us-east-1
0.57695 USD/h 2.103 USD/h
Oregon (US) / us-west-2
0.846925 USD/h 2.103 USD/h
Dublin (IE) / eu-west-1
0.654433 USD/h 2.566 USD/h
Jakarta (ID) / ap-southeast-3
0.2636 USD/h 2.636 USD/h
Sydney (AU) / ap-southeast-2
0.640767 USD/h 2.636 USD/h
Singapore (SG) / ap-southeast-1
0.5027 USD/h 2.636 USD/h
Frankfurt (DE) / eu-central-1
0.545567 USD/h 2.771 USD/h
Tokyo (JP) / ap-northeast-1
0.5391 USD/h 3.049 USD/h

Processor

vCPUs
16
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
3.1 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8259CL
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, pku, ospke
Ecpus
10.5
Scalability
65.62

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
    111840 GB
    Storage Type
    hdd
    Storages
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    • 13980 GB hdd
    NETWORK
    Network Speed Baseline
    25 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    2.8 Gbps
    Network Storage Speed Max
    2.8 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A dense storage instance offering massive local HDD capacity and balanced multi-core performance for data-intensive workloads.

    Storage & DatabaseGeneral Purpose

    Amazon Web Services d3en.4xlarge is a dense storage instance designed for capacity-heavy workloads. Powered by the AWS Nitro hypervisor, it features an Intel Xeon 8259CL x86_64 processor with 16 vCPUs, 8 physical cores, and 64.0 GB of DDR4 memory. The instance is equipped with 111,840 GB of local HDD storage and a baseline network bandwidth of 25 Gbps. Performance benchmarks reveal a distinct tradeoff: single-core CPU performance is weak, falling in the bottom 25%, while multi-core processing, memory bandwidth, and database operations perform at average levels. Given its massive storage capacity and moderate parallel processing capabilities, the d3en.4xlarge is highly suited for distributed file systems, data lakes, and large-scale data warehousing where storage density is prioritized over high-speed single-threaded compute.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.77Score
    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) 1,408,196 ops/sec 1,936,298 ops/sec 0.74 50.00% 50.00% -14.00%
    Redis RPS (pipeline=16, SET) 8,713,140 ops/sec 11,797,257 ops/sec 0.72 20.00% 20.00% -6.40%
    PassMark Memory Mark (composite) 2,539 2,407 1 10.00% 10.00% 0.00%
    Memory bandwidth (read, 16 MB ~ L3) 94,399 MB/sec 108,490 MB/sec 0.85 10.00% 10.00% -1.60%
    PassMark single-thread CPU 1,874 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,035

    Geekbench Multi-Core

    Score: 6,567

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 15,093
    Compression
    		 204,279
    Encryption
    		 6,451
    Extended Instructions
    		 15,025
    Floating Point Maths
    		 25,118
    Integer Maths
    		 46,898
    Physics
    		 1,618
    Prime Numbers
    		 84
    Single Threaded
    		 1,874
    String Sorting
    		 24,082

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,539
    Database Operations
    		 5,431
    Memory Latency
    		 52
    Memory Read Cached
    		 22,570
    Memory Read Uncached
    		 10,538
    Memory Write
    		 10,065

    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
    d3en.xlarge 416 GiB0
    d3en.2xlarge 832 GiB0
    d3en.6xlarge 2496 GiB0
    d3en.8xlarge 32128 GiB0
    d3en.12xlarge 48192 GiB0

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    d3en.4xlarge FAQs