c6gd.16xlarge by Amazon Web Services

c6gd.16xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 16xlarge server offered by Amazon Web Services with 64 vCPUs, 128 GiB of memory and 3.8 TB of storage. The pricing starts at 0.2662 USD per hour.
64 vCPU
128 GiB Memory
3.8 TB Storage
Spare SCore
97,024
(All-cores)
1,519
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c6gd.16xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen6 16xlarge
Family
c6gd
Hw Virt
Status
active
Observed At
2026-09-04T01:58:28.011067

Availability

REGION / IDSPOTONDEMAND
Mumbai (IN) / ap-south-1
0.5248 USD/h 1.568 USD/h
Ohio (US) / us-east-2
0.612667 USD/h 2.4576 USD/h
Northern Virgina (US) / us-east-1
0.6591 USD/h 2.4576 USD/h
Oregon (US) / us-west-2
0.826825 USD/h 2.4576 USD/h
Stockholm (SE) / eu-north-1
0.330633 USD/h 2.6624 USD/h
Quebec (CA) / ca-central-1
0.491967 USD/h 2.7136 USD/h
Aragón (ES) / eu-south-2
0.279 USD/h 2.7904 USD/h
Dublin (IE) / eu-west-1
1.058433 USD/h 2.7904 USD/h
Seoul (KR) / ap-northeast-2
0.615067 USD/h 2.816 USD/h
Frankfurt (DE) / eu-central-1
1.127233 USD/h 2.848 USD/h
Jakarta (ID) / ap-southeast-3
0.4383 USD/h 2.88 USD/h
Singapore (SG) / ap-southeast-1
0.972267 USD/h 2.88 USD/h
London (GB) / eu-west-2
0.491967 USD/h 2.944 USD/h
Paris (FR) / eu-west-3
0.984733 USD/h 2.944 USD/h
California (US) / us-west-1
0.56635 USD/h 3.072 USD/h
Zurich (CH) / eu-central-2
0.572133 USD/h 3.1328 USD/h
Tokyo (JP) / ap-northeast-1
0.931433 USD/h 3.136 USD/h
Osaka (JP) / ap-northeast-3
0.920567 USD/h 3.136 USD/h
Sydney (AU) / ap-southeast-2
0.997067 USD/h 3.232 USD/h
Cape Town (ZA) / af-south-1
0.614 USD/h 3.328 USD/h
Sao Paulo (BR) / sa-east-1
0.8813 USD/h 3.808 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
128 GiB
Memory Amount Actual
126 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 compute-optimized server featuring dedicated physical cores and high-speed local NVMe storage for parallelized, high-throughput workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c6gd.16xlarge is a compute-optimized server powered by a 64-core AWS Graviton2 processor using the ARMv8 Neoverse-N1 architecture. Operating on the Nitro hypervisor, it features 64 dedicated physical cores at 2.5 GHz, 128.0 GB of RAM, a 3800 GB local NVMe SSD, and 25 Gbps baseline network bandwidth. Benchmarks show strong multi-core CPU performance, high cached memory bandwidth, and excellent throughput for Redis operations and static web serving. However, single-core execution and single-threaded decompression represent performance tradeoffs. This server offers a resource-dense, cost-efficient profile for parallel workloads, making it highly suitable for multi-threaded software compilation, caching layers, and high-throughput web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    2.41Score
    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) 7,461,794 ops/sec 1,917,397 ops/sec 3.89 50.00% 50.00% +97.20%
    Redis RPS (pipeline=16, SET) 41,945,819 ops/sec 11,681,410 ops/sec 3.59 20.00% 20.00% +29.10%
    PassMark Memory Mark (composite) 1,845 2,418 0.763 10.00% 10.00% -2.67%
    Memory bandwidth (read, 16 MB ~ L3) 171,440 MB/sec 108,140 MB/sec 1.59 10.00% 10.00% +4.75%
    PassMark single-thread CPU 1,111 Mops/s 2,365 Mops/s 0.47 10.00% 10.00% -7.27%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 973

    Geekbench Multi-Core

    Score: 13,830

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 28043
    Compression
    		 304710
    Encryption
    		 8742
    Extended Instructions
    		 39866
    Floating Point Maths
    		 191541
    Integer Maths
    		 252643
    Physics
    		 3876
    Prime Numbers
    		 243
    Single Threaded
    		 1111
    String Sorting
    		 175002

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 1845
    Database Operations
    		 20471
    Memory Latency
    		 70
    Memory Read Cached
    		 9486
    Memory Read Uncached
    		 9216
    Memory Write
    		 12547

    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
    c6gd.medium 12 GiB0
    c6gd.large 24 GiB0
    c6gd.xlarge 48 GiB0
    c6gd.2xlarge 816 GiB0
    c6gd.4xlarge 1632 GiB0
    c6gd.8xlarge 3264 GiB0
    c6gd.12xlarge 4896 GiB0

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    c6gd.16xlarge FAQs