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im4gn.16xlarge by Amazon Web Services

im4gn.16xlarge is a Storage optimized with a one to four ratio of vCPU to memory [AWS Graviton processors] [Network and EBS optimized] Gen4 16xlarge server offered by Amazon Web Services with 64 vCPUs, 256 GiB of memory and 30 TB of storage. The pricing starts at 0.5821 USD per hour.
64 vCPU
256 GiB Memory
30 TB Storage
Spare SCore
97045
(All-cores)
1519
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
im4gn.16xlarge
Description
Storage optimized with a one to four ratio of vCPU to memory [AWS Graviton processors] [Network and EBS optimized] Gen4 16xlarge
Family
im4gn
Hw Virt
Status
active
Observed At
2026-07-21T22:13:14.062783

Availability

REGION / IDSPOTONDEMAND
Ohio (US) / us-east-2
0.763567 USD/h 5.8207 USD/h
Northern Virgina (US) / us-east-1
1.564725 USD/h 5.8207 USD/h
Oregon (US) / us-west-2
1.707867 USD/h 5.8207 USD/h
Aragón (ES) / eu-south-2
1.3516 USD/h 6.4176 USD/h
Quebec (CA) / ca-central-1
1.3117 USD/h 6.4177 USD/h
Dublin (IE) / eu-west-1
1.6093 USD/h 6.4177 USD/h
Mumbai (IN) / ap-south-1
0.9019 USD/h 6.608 USD/h
Milan (IT) / eu-south-1
1.778167 USD/h 6.752 USD/h
Paris (FR) / eu-west-3
0.8608 USD/h 6.7535 USD/h
London (GB) / eu-west-2
2.999267 USD/h 6.7535 USD/h
Tokyo (JP) / ap-northeast-1
1.017833 USD/h 6.8281 USD/h
Frankfurt (DE) / eu-central-1
1.852933 USD/h 6.94 USD/h
Sydney (AU) / ap-southeast-2
0.942333 USD/h 6.9773 USD/h
Singapore (SG) / ap-southeast-1
2.883533 USD/h 6.9773 USD/h

Processor

vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
64
CPU Speed
2.5 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv8
CPU Model
Neoverse-N1
CPU L1D Cache
64 KiB
CPU L1D Cache Total
4 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
4 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
64 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
32 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, lrcpc, dcpop, asimddp, ssbs
Ecpus
63.9
Scalability
99.84

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
252 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    30000 GB
    Storage Type
    nvme ssd
    Storages
    • 7500 GB nvme ssd
    • 7500 GB nvme ssd
    • 7500 GB nvme ssd
    • 7500 GB nvme ssd
    NETWORK
    Network Speed Baseline
    100 Gbps
    Network Speed Max
    100 Gbps
    Network Storage Speed Baseline
    40 Gbps
    Network Storage Speed Max
    40 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An arm64 storage-optimized instance featuring thirty terabytes of local NVMe SSD storage and high-bandwidth networking for data-intensive workloads.

    Storage & DatabaseGeneral Purpose

    Amazon Web Services im4gn.16xlarge is a storage-optimized server featuring 64 dedicated AWS Graviton Neoverse-N1 cores on the arm64 architecture, running at 2.5 GHz. It is equipped with 256.0 GB of memory, 30,000 GB of local NVMe SSD storage, and a baseline network bandwidth of 100 Gbps under the Nitro hypervisor. Benchmarks show strong multi-core capabilities, particularly in Redis operations, static web serving, and software compilation, though single-threaded performance and LLM inference speeds represent clear tradeoffs. The custom ARM architecture delivers high resource density and qualitative cost efficiency for data-intensive deployments. This server is optimized for high-throughput databases, caching layers, and distributed storage workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.39Score
    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) 7,237,428 ops/sec 1,896,415 ops/sec 3.82 50.00% 50.00% +95.40%
    Redis RPS (pipeline=16, SET) 41,440,172 ops/sec 11,539,523 ops/sec 3.59 20.00% 20.00% +29.10%
    PassMark Memory Mark (composite) 1,852 2,411 0.768 10.00% 10.00% -2.61%
    Memory bandwidth (read, 16 MB ~ L3) 176,195 MB/sec 107,368 MB/sec 1.64 10.00% 10.00% +5.07%
    PassMark single-thread CPU 1,111 Mops/s 2,363 Mops/s 0.47 10.00% 10.00% -7.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 971

    Geekbench Multi-Core

    Score: 13,963

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    28068
    Compression
    304890
    Encryption
    8683
    Extended Instructions
    39758
    Floating Point Maths
    191936
    Integer Maths
    252349
    Physics
    4114
    Prime Numbers
    251
    Single Threaded
    1111
    String Sorting
    175957

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    1852
    Database Operations
    20438
    Memory Latency
    70
    Memory Read Cached
    9484
    Memory Read Uncached
    9204
    Memory Write
    12566

    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
    im4gn.large 28 GiB0
    im4gn.xlarge 416 GiB0
    im4gn.2xlarge 832 GiB0
    im4gn.4xlarge 1664 GiB0
    im4gn.8xlarge 32128 GiB0

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    im4gn.16xlarge FAQs