d2.2xlarge by Amazon Web Services

d2.2xlarge is a Dense storage Gen2 2xlarge server offered by Amazon Web Services with 8 vCPUs, 61 GiB of memory and 12.3 TB of storage. The pricing starts at 0.138 USD per hour.
8 vCPU
61 GiB Memory
12.3 TB Storage
Spare SCore
4,142
(All-cores)
741
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
d2.2xlarge
Description
Dense storage Gen2 2xlarge
Family
d2
Hw Virt
Status
active
Observed At
2026-10-25T20:43:55.012359

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.146267 USD/h 1.38 USD/h
Oregon (US) / us-west-2
0.22335 USD/h 1.38 USD/h
Northern Virgina (US) / us-east-1
0.337 USD/h 1.38 USD/h
Stockholm (SE) / eu-north-1
0.1396 USD/h 1.396 USD/h
Dublin (IE) / eu-west-1
0.3508 USD/h 1.47 USD/h
Quebec (CA) / ca-central-1
0.2678 USD/h 1.518 USD/h
London (GB) / eu-west-2
0.286233 USD/h 1.544 USD/h
Paris (FR) / eu-west-3
0.2456 USD/h 1.544 USD/h
Milan (IT) / eu-south-1
0.377133 USD/h 1.544 USD/h
California (US) / us-west-1
0.23765 USD/h 1.563 USD/h
Frankfurt (DE) / eu-central-1
0.275367 USD/h 1.588 USD/h
Mumbai (IN) / ap-south-1
0.251133 USD/h 1.653 USD/h
Seoul (KR) / ap-northeast-2
0.1688 USD/h 1.688 USD/h
Tokyo (JP) / ap-northeast-1
0.304833 USD/h 1.688 USD/h
Osaka (JP) / ap-northeast-3
- 1.688 USD/h
Singapore (SG) / ap-southeast-1
0.292967 USD/h 1.74 USD/h
Sydney (AU) / ap-southeast-2
0.302367 USD/h 1.74 USD/h
Cape Town (ZA) / af-south-1
0.312133 USD/h 1.75 USD/h
Hong Kong (HK) / ap-east-1
0.2193 USD/h 1.914 USD/h

Processor

vCPUs
8
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.4 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2676 v3
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
256 KiB
CPU L2 Cache Total
1 MiB
CPU L3 Cache
30 MiB
CPU L3 Cache Total
30 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, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, 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, cpuid_fault, pti, fsgsbase, bmi1, avx2, smep, bmi2, erms, invpcid, xsaveopt
Ecpus
5.6
Scalability
70

System Resources and Accelerators

MEMORY
Memory Amount
61 GiB
Memory Amount Actual
61 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    12288 GB
    Storage Type
    hdd
    Storages
    • 2048 GB hdd
    • 2048 GB hdd
    • 2048 GB hdd
    • 2048 GB hdd
    • 2048 GB hdd
    • 2048 GB hdd
    NETWORK
    Network Speed Baseline
    2.5 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    1 Gbps
    Network Storage Speed Max
    1 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A dense storage instance featuring massive local HDD capacity and balanced memory for large-scale data processing and warehousing.

    Storage & DatabaseGeneral Purpose

    Amazon Web Services d2.2xlarge is a dense storage instance designed for workloads requiring high local storage capacity. Powered by an Intel Xeon E5-2676 v3 processor on the x86_64 architecture, it features 8 vCPUs, 4 physical cores, and 61.0 GB of RAM. The defining feature of this instance is its 12,288 GB of local HDD storage, supported by a 2 Gbps baseline network bandwidth. Benchmark data indicates modest CPU and memory performance, with single-core and multi-core metrics falling into the lower percentiles. Consequently, the d2.2xlarge is highly cost-efficient for storage-dense applications but less suited for compute-heavy tasks. It is ideal for data warehousing, MapReduce, Hadoop clusters, and large-scale log processing.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.29Score
    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) 427,496 ops/sec 1,919,289 ops/sec 0.23 50.00% 50.00% -52.00%
    Redis RPS (pipeline=16, SET) 1,997,231 ops/sec 11,728,058 ops/sec 0.17 20.00% 20.00% -30.00%
    PassMark Memory Mark (composite) 2,169 2,416 0.92 10.00% 10.00% -0.83%
    Memory bandwidth (read, 16 MB ~ L3) 40,125 MB/sec 108,466 MB/sec 0.36 10.00% 10.00% -9.70%
    PassMark single-thread CPU 1,598 Mops/s 2,365 Mops/s 0.67 10.00% 10.00% -3.90%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 874

    Geekbench Multi-Core

    Score: 3,265

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    5,937
    Compression
    84,126
    Encryption
    1,854
    Extended Instructions
    4,233
    Floating Point Maths
    8,922
    Integer Maths
    19,139
    Physics
    712
    Prime Numbers
    50
    Single Threaded
    1,598
    String Sorting
    12,888

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    2,169
    Database Operations
    2,482
    Memory Latency
    54
    Memory Read Cached
    19,596
    Memory Read Uncached
    9,091
    Memory Write
    8,564

    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
    d2.xlarge 431 GiB0
    d2.4xlarge 16122 GiB0
    d2.8xlarge 36244 GiB0

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    d2.2xlarge FAQs