c8gd.48xlarge by Amazon Web Services

c8gd.48xlarge is a Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 48xlarge server offered by Amazon Web Services with 192 vCPUs, 384 GiB of memory and 11.4 TB of storage. The pricing starts at 1.2477 USD per hour.
192 vCPU
384 GiB Memory
11.4 TB Storage
Spare SCore
311,373
(All-cores)
1,644
(Single-core)

Specifications

Server Metadata

Vendor ID
aws
Name
c8gd.48xlarge
Description
Compute optimized [AWS Graviton processors] [Instance store volumes] Gen8 48xlarge
Family
c8gd
Hw Virt
Status
active
Observed At
2026-09-13T16:38:11.701333

Availability

REGION / IDSPOTONDEMAND
(MY) / ap-southeast-5
3.0233 USD/h 9.3274 USD/h
(TH) / ap-southeast-7
3.937867 USD/h 9.3274 USD/h
Ohio (US) / us-east-2
1.521333 USD/h 9.4061 USD/h
Oregon (US) / us-west-2
2.743525 USD/h 9.4061 USD/h
Northern Virgina (US) / us-east-1
4.0858 USD/h 9.4061 USD/h
Quebec (CA) / ca-central-1
2.072333 USD/h 10.3853 USD/h
Aragón (ES) / eu-south-2
2.800033 USD/h 10.679 USD/h
Dublin (IE) / eu-west-1
5.382633 USD/h 10.679 USD/h
Frankfurt (DE) / eu-central-1
3.369433 USD/h 10.8768 USD/h
Singapore (SG) / ap-southeast-1
4.72135 USD/h 10.9728 USD/h
London (GB) / eu-west-2
2.256733 USD/h 11.2666 USD/h
Tokyo (JP) / ap-northeast-1
2.164 USD/h 11.9539 USD/h
Sydney (AU) / ap-southeast-2
2.2489 USD/h 12.3456 USD/h
(NZ) / ap-southeast-6
1.4724 USD/h 12.9638 USD/h
Sao Paulo (BR) / sa-east-1
3.769267 USD/h 14.5978 USD/h

Processor

vCPUs
192
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
192
CPU Speed
2.7 GHz
CPU Architecture
arm64
CPU Manufacturer
AWS
CPU Family
ARMv9
CPU Model
Neoverse-V2
CPU L1D Cache
64 KiB
CPU L1D Cache Total
12 MiB
CPU L1I Cache
64 KiB
CPU L1I Cache Total
12 MiB
CPU L2 Cache
2 MiB
CPU L2 Cache Total
384 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
72 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
189.4
Scalability
98.65

System Resources and Accelerators

MEMORY
Memory Amount
384 GiB
Memory Amount Actual
378 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    11400 GB
    Storage Type
    nvme ssd
    Storages
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    • 1900 GB nvme ssd
    NETWORK
    Network Speed Baseline
    50 Gbps
    Network Speed Max
    50 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

    A high-density ARM64 compute instance featuring 192 physical cores, massive local NVMe SSD storage, and exceptional multi-threaded performance.

    Compute OptimizedStorage & DatabaseGeneral Purpose

    Amazon Web Services c8gd.48xlarge is an ARM64 compute-optimized instance powered by 192 dedicated physical cores of the AWS Graviton ARMv9 Neoverse-V2 processor running at 2.7 GHz. It features 384 GB of RAM and 11,400 GB of local NVMe SSD storage, running on the AWS Nitro hypervisor with 50 Gbps baseline network bandwidth. Benchmarks show top-tier multi-core CPU performance, memory bandwidth, and database operations, alongside strong software compilation and static web serving capabilities. Single-core performance and small-model LLM inference are average to weak, highlighting a design optimized for highly parallelized workloads. This instance is highly efficient for high-throughput databases, parallel data processing, and large-scale web serving where local high-speed storage is critical.

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Workload Profiles

    10.2Score
    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) 39,115,954 ops/sec 1,917,397 ops/sec 20.4 50.00% 50.00% +352.00%
    Redis RPS (pipeline=16, SET) 221,002,499 ops/sec 11,681,410 ops/sec 18.9 20.00% 20.00% +80.00%
    PassMark Memory Mark (composite) 3,192 2,418 1.32 10.00% 10.00% +2.82%
    Memory bandwidth (read, 16 MB ~ L3) 1,034,712 MB/sec 108,140 MB/sec 9.57 10.00% 10.00% +25.30%
    PassMark single-thread CPU 1,866 Mops/s 2,365 Mops/s 0.789 10.00% 10.00% -2.34%

    Memory Bandwidth

    Compression

    OpenSSL

    Geekbench Single-Core

    Score: 1,656

    Geekbench Multi-Core

    Score: 20,654

    Passmark CPU Scores

    BENCHMARKSCORE
    Mark
    		 77340
    Compression
    		 1224974
    Encryption
    		 34739
    Extended Instructions
    		 140031
    Floating Point Maths
    		 1119867
    Integer Maths
    		 963437
    Physics
    		 34575
    Prime Numbers
    		 1524
    Single Threaded
    		 1866
    String Sorting
    		 812246

    Passmark Memory Scores

    BENCHMARKSCORE
    Memory Mark
    		 3192
    Database Operations
    		 46609
    Memory Latency
    		 47
    Memory Read Cached
    		 18070
    Memory Read Uncached
    		 18706
    Memory Write
    		 20517

    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.12xlarge 4896 GiB0

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    c8gd.48xlarge FAQs