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r5d.16xlarge by Amazon Web Services

r5d.16xlarge is a Memory optimized [Instance store volumes] Gen5 16xlarge server offered by Amazon Web Services with 64 vCPUs, 512 GiB of memory and 2.4 TB of storage. The pricing starts at 0.5568 USD per hour.
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64 vCPU
512 GiB Memory
2.4 TB Storage
Spare SCore
54168
(All-cores)
1285
(Single-core)

Specifications

Server Details

General
Vendor ID
aws
Server ID
r5d.16xlarge
Name
r5d.16xlarge
API Reference
r5d.16xlarge
Display Name
r5d.16xlarge
Description
Memory optimized [Instance store volumes] Gen5 16xlarge
Family
r5d
Status
active
Observed At
2024-12-22T15:26:10.374171
CPU
vCPUs
64
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8259CL
CPU L1 Cache
2 MiB
CPU L2 Cache
32 MiB
CPU L3 Cache
72 MiB
CPU Flags
fpu, vme, de, pse, tsc, msr, pae, mce, cx8, apic, sep, mtrr, pge, mca, cmov, pat, pse36, clflush, mmx, fxsr, sse, sse2, ss, ht, syscall, nx, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, mpx, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, ida, arat, pku, ospke
Memory
Memory Amount
512 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
0
GPUs
    Storage
    Storage Size
    2400 GB
    Storage Type
    nvme ssd
    Storages
    • 600 GB nvme ssd
    • 600 GB nvme ssd
    • 600 GB nvme ssd
    • 600 GB nvme ssd
    Network
    Network Speed
    20 Gbps
    Inbound Traffic
    0 GB/month
    Outbound Traffic
    0 GB/month
    IPv4
    0

    Availability

    REGION / IDSPOTONDEMAND
    Northern Virgina (US) / us-east-1
    		1.75132 USD/h 4.608 USD/h
    Ohio (US) / us-east-2
    		1.815867 USD/h 4.608 USD/h
    Oregon (US) / us-west-2
    		1.90165 USD/h 4.608 USD/h
    Mumbai (IN) / ap-south-1
    		1.101867 USD/h 4.832 USD/h
    Hyderabad (IN) / ap-south-2
    		1.0494 USD/h 4.832 USD/h
    Stockholm (SE) / eu-north-1
    		1.440233 USD/h 4.864 USD/h
    Quebec (CA) / ca-central-1
    		1.872667 USD/h 5.056 USD/h
    Aragón (ES) / eu-south-2
    		1.603067 USD/h 5.12 USD/h
    Dublin (IE) / eu-west-1
    		2.300333 USD/h 5.12 USD/h
    California (US) / us-west-1
    		1.8108 USD/h 5.184 USD/h
    Milan (IT) / eu-south-1
    		1.313367 USD/h 5.376 USD/h
    Tel Aviv (IL) / il-central-1
    		2.468433 USD/h 5.376 USD/h
    Paris (FR) / eu-west-3
    		1.872267 USD/h 5.408 USD/h
    London (GB) / eu-west-2
    		1.987967 USD/h 5.408 USD/h
    Seoul (KR) / ap-northeast-2
    		1.551725 USD/h 5.536 USD/h
    Frankfurt (DE) / eu-central-1
    		1.381633 USD/h 5.536 USD/h
    Jakarta (ID) / ap-southeast-3
    		0.5568 USD/h 5.568 USD/h
    Melbourne (AU) / ap-southeast-4
    		0.605833 USD/h 5.568 USD/h
    Singapore (SG) / ap-southeast-1
    		1.708267 USD/h 5.568 USD/h
    Sydney (AU) / ap-southeast-2
    		1.8536 USD/h 5.568 USD/h
    Tokyo (JP) / ap-northeast-1
    		1.9517 USD/h 5.568 USD/h
    Osaka (JP) / ap-northeast-3
    		2.146633 USD/h 5.568 USD/h
    Hong Kong (HK) / ap-east-1
    		1.0116 USD/h 5.6 USD/h
    United Arab Emirates / me-central-1
    		1.685 USD/h 5.632 USD/h
    Bahrain / me-south-1
    		1.679833 USD/h 5.632 USD/h
    Cape Town (ZA) / af-south-1
    		1.865667 USD/h 6.08 USD/h
    Zurich (CH) / eu-central-2
    		1.925167 USD/h 6.09 USD/h
    Sao Paulo (BR) / sa-east-1
    		3.5271 USD/h 7.296 USD/h

    Economics

    Average Price per Region

    Prices per Zone

    Lowest Prices

    Performance

    Alternatives

    Servers of the Same Family

    INSTANCEvCPUsMEMORYGPUs
    r5d.large 2 16 GiB 0
    r5d.xlarge 4 32 GiB 0
    r5d.2xlarge 8 64 GiB 0
    r5d.4xlarge 16 128 GiB 0
    r5d.8xlarge 32 256 GiB 0
    r5d.12xlarge 48 384 GiB 0
    r5d.24xlarge 96 768 GiB 0

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    r5d.16xlarge FAQs

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