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r6gd.16xlarge by Amazon Web Services

r6gd.16xlarge is a Memory optimized [AWS Graviton processors] [Instance store volumes] Gen6 16xlarge server offered by Amazon Web Services with 64 vCPUs, 512 GiB of memory and 3.8 TB of storage. The pricing starts at 0.5143 USD per hour.
64 vCPU
512 GiB Memory
3.8 TB Storage
Spare SCore
97056
(All-cores)
1519
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
r6gd.16xlarge
Description
Memory optimized [AWS Graviton processors] [Instance store volumes] Gen6 16xlarge
Family
r6gd
Hw Virt
Status
active
Observed At
2026-08-03T12:50:34.699942

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.883167 USD/h 2.3917 USD/h
Ohio (US) / us-east-2
1.020867 USD/h 3.6864 USD/h
Oregon (US) / us-west-2
1.21235 USD/h 3.6864 USD/h
Northern Virgina (US) / us-east-1
1.57978 USD/h 3.6864 USD/h
Stockholm (SE) / eu-north-1
0.69365 USD/h 3.8912 USD/h
Quebec (CA) / ca-central-1
0.694 USD/h 4.0448 USD/h
Aragón (ES) / eu-south-2
0.9073 USD/h 4.096 USD/h
Dublin (IE) / eu-west-1
2.308867 USD/h 4.096 USD/h
California (US) / us-west-1
2.1828 USD/h 4.16 USD/h
London (GB) / eu-west-2
1.2639 USD/h 4.3264 USD/h
Paris (FR) / eu-west-3
1.4592 USD/h 4.3264 USD/h
Frankfurt (DE) / eu-central-1
1.244633 USD/h 4.416 USD/h
Seoul (KR) / ap-northeast-2
1.18665 USD/h 4.4288 USD/h
Jakarta (ID) / ap-southeast-3
0.923 USD/h 4.448 USD/h
Sydney (AU) / ap-southeast-2
1.586367 USD/h 4.448 USD/h
Tokyo (JP) / ap-northeast-1
1.7874 USD/h 4.448 USD/h
Singapore (SG) / ap-southeast-1
2.3116 USD/h 4.448 USD/h
Osaka (JP) / ap-northeast-3
1.49805 USD/h 4.4544 USD/h
Zurich (CH) / eu-central-2
1.3371 USD/h 4.8576 USD/h
Cape Town (ZA) / af-south-1
1.0357 USD/h 4.864 USD/h
Sao Paulo (BR) / sa-east-1
2.175933 USD/h 5.8368 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
512 GiB
Memory Amount Actual
507 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    3800 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    25 Gbps
    Network Speed Max
    25 Gbps
    Network Storage Speed Baseline
    19 Gbps
    Network Storage Speed Max
    19 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM64 memory-optimized platform featuring dedicated physical cores, high-capacity local NVMe storage, and strong multi-threaded database performance.

    Memory OptimizedStorage & Database

    Amazon Web Services r6gd.16xlarge is an ARM64 memory-optimized instance featuring 64 dedicated physical cores powered by AWS Graviton Neoverse-N1 processors running at 2.5 GHz. It is equipped with 512.0 GB of RAM, 3800 GB of local NVMe SSD storage, and a 25 Gbps baseline network bandwidth. Operating on the Nitro hypervisor, the instance delivers strong multi-core CPU performance and high cached memory bandwidth, alongside strong results in Redis SET operations and static web serving. However, single-core benchmarks and single-threaded compression tasks are relatively weak, and the architecture lacks AVX or AMX instruction sets. This hardware profile supports memory-intensive databases, multi-threaded software compilation, and caching layers that leverage local NVMe storage, offering high resource density for ARM-native workloads.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.3Score
    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) 6,861,294 ops/sec 1,910,660 ops/sec 3.59 50.00% 50.00% +89.50%
    Redis RPS (pipeline=16, SET) 40,583,020 ops/sec 11,608,287 ops/sec 3.5 20.00% 20.00% +28.50%
    PassMark Memory Mark (composite) 1,848 2,416 0.765 10.00% 10.00% -2.64%
    Memory bandwidth (read, 16 MB ~ L3) 172,486 MB/sec 107,896 MB/sec 1.6 10.00% 10.00% +4.81%
    PassMark single-thread CPU 1,111 Mops/s 2,364 Mops/s 0.47 10.00% 10.00% -7.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 978

    Geekbench Multi-Core

    Score: 13,943

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 28079
    Compression
    		 305028
    Encryption
    		 8704
    Extended Instructions
    		 39776
    Floating Point Maths
    		 191618
    Integer Maths
    		 252652
    Physics
    		 4096
    Prime Numbers
    		 249
    Single Threaded
    		 1111
    String Sorting
    		 175434

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1848
    Database Operations
    		 20485
    Memory Latency
    		 70
    Memory Read Cached
    		 9481
    Memory Read Uncached
    		 9205
    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
    r6gd.medium 18 GiB0
    r6gd.large 216 GiB0
    r6gd.xlarge 432 GiB0
    r6gd.2xlarge 864 GiB0
    r6gd.4xlarge 16128 GiB0
    r6gd.8xlarge 32256 GiB0
    r6gd.12xlarge 48384 GiB0

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    r6gd.16xlarge FAQs