i2.4xlarge by Amazon Web Services

i2.4xlarge is a Storage optimized Gen2 4xlarge server offered by Amazon Web Services with 16 vCPUs, 122 GiB of memory and 3.2 TB of storage. The pricing starts at 0.341 USD per hour.
16 vCPU
122 GiB Memory
3.2 TB Storage
Spare SCore
14,126
(All-cores)
1,623
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
i2.4xlarge
Description
Storage optimized Gen2 4xlarge
Family
i2
Hw Virt
Status
active
Observed At
2026-11-07T02:04:07.568670

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.341 USD/h 3.41 USD/h
Oregon (US) / us-west-2
0.699667 USD/h 3.41 USD/h
Northern Virgina (US) / us-east-1
0.71386 USD/h 3.41 USD/h
California (US) / us-west-1
0.4311 USD/h 3.751 USD/h
Dublin (IE) / eu-west-1
0.9091 USD/h 3.751 USD/h
Mumbai (IN) / ap-south-1
0.46605 USD/h 3.867 USD/h
Seoul (KR) / ap-northeast-2
0.4002 USD/h 4.002 USD/h
Tokyo (JP) / ap-northeast-1
0.7118 USD/h 4.002 USD/h
Frankfurt (DE) / eu-central-1
0.66565 USD/h 4.051 USD/h
Singapore (SG) / ap-southeast-1
0.6609 USD/h 4.07 USD/h
Sydney (AU) / ap-southeast-2
1.098467 USD/h 4.07 USD/h

Processor

vCPUs
16
Hypervisor
xen
CPU Allocation
Dedicated
CPU Cores
8
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
E5-2670 v2
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
256 KiB
CPU L2 Cache Total
2 MiB
CPU L3 Cache
25 MiB
CPU L3 Cache Total
25 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, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, cpuid, tsc_known_freq, pni, pclmulqdq, ssse3, cx16, pcid, sse4_1, sse4_2, x2apic, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cpuid_fault, pti, fsgsbase, smep, erms, xsaveopt
Ecpus
8.7
Scalability
54.37

System Resources and Accelerators

MEMORY
Memory Amount
122 GiB
Memory Amount Actual
122 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    3200 GB
    Storage Type
    nvme ssd
    Storages
    • 800 GB nvme ssd
    • 800 GB nvme ssd
    • 800 GB nvme ssd
    • 800 GB nvme ssd
    NETWORK
    Network Speed Baseline
    2 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    2 Gbps
    Network Storage Speed Max
    2 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    A storage-optimized instance combining 3200 GB local NVMe storage with 122 GB memory for database operations and read-heavy workloads.

    Storage & DatabaseMemory Optimized

    Amazon Web Services i2.4xlarge is a storage-optimized instance built on x86_64 architecture with an Intel Xeon E5-2670 v2 processor running at 2.5 GHz. It includes 8 physical cores, 16 vCPUs, 122.0 GB of memory, and a bundled 3200 GB local NVMe SSD array. Operating on the Xen hypervisor, it features 2 Gbps baseline network bandwidth and no GPU acceleration. Benchmark evaluations show average multi-core CPU capacity, PassMark database operation performance, and Redis SET throughput, while single-core execution and uncached memory write bandwidth fall into lower performance tiers. The high ratio of local NVMe storage and RAM to compute resources provides solid resource density for storage-bound tasks. This instance is suitable for relational databases, key-value stores, static web serving, and local file processing workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.59Score
    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) 1,213,366 ops/sec 1,936,298 ops/sec 0.63 50.00% 50.00% -21.00%
    Redis RPS (pipeline=16, SET) 4,858,638 ops/sec 11,797,257 ops/sec 0.41 20.00% 20.00% -16.00%
    PassMark Memory Mark (composite) 2,116 2,406 0.88 10.00% 10.00% -1.30%
    Memory bandwidth (read, 16 MB ~ L3) 43,160 MB/sec 108,490 MB/sec 0.39 10.00% 10.00% -9.00%
    PassMark single-thread CPU 1,991 Mops/s 2,365 Mops/s 0.83 10.00% 10.00% -1.80%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 532

    Geekbench Multi-Core

    Score: 3,448

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 16,684
    Compression
    		 232,065
    Encryption
    		 7,439
    Extended Instructions
    		 9,237
    Floating Point Maths
    		 31,157
    Integer Maths
    		 58,276
    Physics
    		 2,040
    Prime Numbers
    		 118
    Single Threaded
    		 1,991
    String Sorting
    		 32,310

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 2,116
    Database Operations
    		 6,516
    Memory Latency
    		 72
    Memory Read Cached
    		 20,203
    Memory Read Uncached
    		 9,645
    Memory Write
    		 8,731

    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
    i2.xlarge 431 GiB0
    i2.2xlarge 861 GiB0
    i2.8xlarge 32244 GiB0

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    i2.4xlarge FAQs