c8gd.12xlarge by Amazon Web Services

c8gd.12xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 12xlarge server offered by Amazon Web Services with 48 vCPUs, 96 GiB of memory and 2.85 TB of storage. The pricing starts at 0.2966 USD per hour.
48 vCPU
96 GiB Memory
2.85 TB Storage
Spare SCore
81,874
(All-cores)
1,707
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c8gd.12xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 12xlarge
Family
c8gd
Hw Virt
Status
active
Observed At
2026-09-21T05:40:01.983458

Availability

REGION / IDSPOTONDEMAND
(MY) / ap-southeast-5
0.759767 USD/h 2.3318 USD/h
(TH) / ap-southeast-7
0.993167 USD/h 2.3318 USD/h
Ohio (US) / us-east-2
0.6147 USD/h 2.3515 USD/h
Northern Virgina (US) / us-east-1
0.74874 USD/h 2.3515 USD/h
Oregon (US) / us-west-2
0.889375 USD/h 2.3515 USD/h
Quebec (CA) / ca-central-1
0.501467 USD/h 2.5963 USD/h
Aragón (ES) / eu-south-2
0.5656 USD/h 2.6698 USD/h
Dublin (IE) / eu-west-1
1.125067 USD/h 2.6698 USD/h
Frankfurt (DE) / eu-central-1
1.083133 USD/h 2.7192 USD/h
Singapore (SG) / ap-southeast-1
0.70205 USD/h 2.7432 USD/h
London (GB) / eu-west-2
0.5812 USD/h 2.8166 USD/h
Tokyo (JP) / ap-northeast-1
0.9888 USD/h 2.9885 USD/h
Sydney (AU) / ap-southeast-2
0.494133 USD/h 3.0864 USD/h
(NZ) / ap-southeast-6
1.2146 USD/h 3.241 USD/h
Sao Paulo (BR) / sa-east-1
2.2343 USD/h 3.6494 USD/h

Processor

vCPUs
48
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
48
CPU Speed
2.8 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv9
CPU Model
Neoverse-V2
CPU L1D Cache
64 KiB
CPU L1D Cache Total
3 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
3 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
96 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 MiB
CPU Flags
fp, asimd, evtstrm, aes, pmull, sha1, sha2, crc32, atomics, fphp, asimdhp, cpuid, asimdrdm, jscvt, fcma, lrcpc, dcpop, sha3, asimddp, sha512, sve, asimdfhm, dit, uscat, ilrcpc, flagm, ssbs, sb, paca, pacg, dcpodp, sve2, sveaes, svepmull, svebitperm, svesha3, flagm2, frint, svei8mm, svebf16, i8mm, bf16, dgh, rng, bti
Ecpus
48
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
95 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    2850 GB
    Storage Type
    nvme ssd
    Storages
    • 950 GB nvme ssd
    • 950 GB nvme ssd
    • 950 GB nvme ssd
    NETWORK
    Network Speed Baseline
    22.5 Gbps
    Network Speed Max
    22.5 Gbps
    Network Storage Speed Baseline
    15 Gbps
    Network Storage Speed Max
    15 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Server Description

    An arm64 compute-optimized server combining forty-eight dedicated physical cores with high-speed local NVMe storage for demanding multi-threaded workloads.

    Compute OptimizedStorage & Database

    Amazon Web Services c8gd.12xlarge is an arm64 compute-optimized server featuring 48 dedicated physical cores of the AWS Graviton ARMv9 Neoverse-V2 processor running at 2.8 GHz. It is equipped with 96.0 GB of system memory, providing 2.0 GB per core, and 2850 GB of local NVMe SSD instance storage. Operating on the Nitro hypervisor, it delivers a baseline network bandwidth of 22 Gbps. Benchmark results indicate top-tier performance in memory bandwidth, software compilation, database operations, and static web serving, alongside strong multi-core processing. However, single-core performance and LLM inference speeds remain in the average tier. The low memory-to-core ratio represents a tradeoff for memory-heavy applications. This server is suited for multi-threaded processing, software development pipelines, database hosting, and high-throughput web serving.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    3.84Score
    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) 11,025,511 ops/sec 1,919,696 ops/sec 5.74 50.00% 50.00% +140.00%
    Redis RPS (pipeline=16, SET) 59,296,576 ops/sec 11,736,081 ops/sec 5.05 20.00% 20.00% +38.20%
    PassMark Memory Mark (composite) 3,204 2,418 1.33 10.00% 10.00% +2.89%
    Memory bandwidth (read, 16 MB ~ L3) 434,456 MB/sec 108,260 MB/sec 4.01 10.00% 10.00% +14.90%
    PassMark single-thread CPU 1,941 Mops/s 2,365 Mops/s 0.821 10.00% 10.00% -1.95%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,826

    Geekbench Multi-Core

    Score: 23,361

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 35961
    Compression
    		 319121
    Encryption
    		 9067
    Extended Instructions
    		 43769
    Floating Point Maths
    		 290967
    Integer Maths
    		 250387
    Physics
    		 11869
    Prime Numbers
    		 507
    Single Threaded
    		 1941
    String Sorting
    		 219287

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3204
    Database Operations
    		 46215
    Memory Latency
    		 51
    Memory Read Cached
    		 21127
    Memory Read Uncached
    		 19181
    Memory Write
    		 21174

    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
    c8gd.medium 12 GiB0
    c8gd.large 24 GiB0
    c8gd.xlarge 48 GiB0
    c8gd.2xlarge 816 GiB0
    c8gd.4xlarge 1632 GiB0
    c8gd.8xlarge 3264 GiB0
    c8gd.16xlarge 64128 GiB0

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    c8gd.12xlarge FAQs