r6gd.large by Amazon Web Services

r6gd.large is a Memory optimized [AWS Graviton processors] [Instance store volumes] Gen6 large server offered by Amazon Web Services with 2 vCPUs, 16 GiB of memory and 118 GB of storage. The pricing starts at 0.0139 USD per hour.
2 vCPU
16 GiB Memory
118 GB Storage
Spare SCore
3,012
(All-cores)
1,519
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
r6gd.large
Description
Memory optimized [AWS Graviton processors] [Instance store volumes] Gen6 large
Family
r6gd
Hw Virt
Status
active
Observed At
2026-10-06T01:14:46.281676

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.031733 USD/h 0.0747 USD/h
Ohio (US) / us-east-2
0.023167 USD/h 0.1152 USD/h
Northern Virgina (US) / us-east-1
0.04416 USD/h 0.1152 USD/h
Oregon (US) / us-west-2
0.0432 USD/h 0.1152 USD/h
Stockholm (SE) / eu-north-1
0.0236 USD/h 0.1216 USD/h
Quebec (CA) / ca-central-1
0.045667 USD/h 0.1264 USD/h
Aragón (ES) / eu-south-2
0.0244 USD/h 0.128 USD/h
Dublin (IE) / eu-west-1
0.060233 USD/h 0.128 USD/h
California (US) / us-west-1
0.0518 USD/h 0.13 USD/h
London (GB) / eu-west-2
0.0433 USD/h 0.1352 USD/h
Paris (FR) / eu-west-3
0.044167 USD/h 0.1352 USD/h
Frankfurt (DE) / eu-central-1
0.066267 USD/h 0.138 USD/h
Seoul (KR) / ap-northeast-2
0.0308 USD/h 0.1384 USD/h
Jakarta (ID) / ap-southeast-3
0.0139 USD/h 0.139 USD/h
Singapore (SG) / ap-southeast-1
0.0562 USD/h 0.139 USD/h
Sydney (AU) / ap-southeast-2
0.053333 USD/h 0.139 USD/h
Tokyo (JP) / ap-northeast-1
0.0658 USD/h 0.139 USD/h
Osaka (JP) / ap-northeast-3
0.04005 USD/h 0.1392 USD/h
Zurich (CH) / eu-central-2
0.031067 USD/h 0.1518 USD/h
Cape Town (ZA) / af-south-1
0.040733 USD/h 0.152 USD/h
Sao Paulo (BR) / sa-east-1
0.0376 USD/h 0.1824 USD/h

Processor

vCPUs
2
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
2
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
128 KiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
2 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
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    118 GB
    Storage Type
    nvme ssd
    Storages
    • 118 GB nvme ssd
    NETWORK
    Network Speed Baseline
    0.75 Gbps
    Network Speed Max
    10 Gbps
    Network Storage Speed Baseline
    0.63 Gbps
    Network Storage Speed Max
    4.75 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An ARM-powered, memory-optimized server featuring dedicated cores and local NVMe storage for memory-intensive, low-compute workloads.

    Memory OptimizedStorage & Database

    Amazon Web Services r6gd.large is an arm64 memory-optimized server powered by a 2.5 GHz AWS Graviton Neoverse-N1 processor with 2 dedicated physical cores. It features 16.0 GB of RAM, providing an 8.0 GB per core ratio, and includes a bundled 118 GB NVMe SSD local instance store. Running on the Nitro hypervisor, its network baseline is 1 Gbps. Performance benchmarks show average single-core CPU capabilities (stress-ng score of 1519.49) but weaker multi-core and memory bandwidth results, such as a Geekbench multi-core score of 1753.0 and 36.85 GB/sec uncached read bandwidth. Qualitatively, the instance offers a cost-efficient memory-to-vCPU ratio and local storage on energy-efficient ARM architecture, though it presents compute-performance trade-offs. It is suited for memory-intensive, low-compute workloads like caching layers, lightweight database operations, and static web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    0.19Score
    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) 236,844 ops/sec 1,916,704 ops/sec 0.13 50.00% 50.00% -64.00%
    Redis RPS (pipeline=16, SET) 1,438,255 ops/sec 11,642,227 ops/sec 0.12 20.00% 20.00% -35.00%
    PassMark Memory Mark (composite) 1,453 2,417 0.62 10.00% 10.00% -4.70%
    Memory bandwidth (read, 16 MB ~ L3) 55,514 MB/sec 108,361 MB/sec 0.51 10.00% 10.00% -6.50%
    PassMark single-thread CPU 1,110 Mops/s 2,365 Mops/s 0.46 10.00% 10.00% -7.50%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 944

    Geekbench Multi-Core

    Score: 1,753

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 1349
    Compression
    		 8939
    Encryption
    		 267
    Extended Instructions
    		 1233
    Floating Point Maths
    		 5950
    Integer Maths
    		 7837
    Physics
    		 358
    Prime Numbers
    		 17
    Single Threaded
    		 1110
    String Sorting
    		 5665

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1453
    Database Operations
    		 1309
    Memory Latency
    		 71
    Memory Read Cached
    		 9459
    Memory Read Uncached
    		 9203
    Memory Write
    		 12527

    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.xlarge 432 GiB0
    r6gd.2xlarge 864 GiB0
    r6gd.4xlarge 16128 GiB0
    r6gd.8xlarge 32256 GiB0
    r6gd.12xlarge 48384 GiB0
    r6gd.16xlarge 64512 GiB0

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    r6gd.large FAQs