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dl2q.24xlarge by Amazon Web Services

dl2q.24xlarge is a Deep Learning [Qualcomm inference accelerators] Gen2 24xlarge server offered by Amazon Web Services with 96 vCPUs, 768 GiB of memory and 0 GB of storage. The pricing starts at 1.1595 USD per hour.
96 vCPU
768 GiB Memory
Spare SCore
81311
(All-cores)
1371
(Single-core)

Specifications

Server Details

General
Vendor ID
aws
Server ID
dl2q.24xlarge
Name
dl2q.24xlarge
API Reference
dl2q.24xlarge
Display Name
dl2q.24xlarge
Description
Deep Learning [Qualcomm inference accelerators] Gen2 24xlarge
Family
dl2q
Status
active
Observed At
2024-10-30T09:18:48.876953
CPU
vCPUs
96
Hypervisor
nitro
CPU Allocation
Dedicated
CPU Cores
48
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8259CL
CPU L1 Cache
3 MiB
CPU L2 Cache
48 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, arch_perfmon, rep_good, nopl, xtopology, nonstop_tsc, cpuid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, 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, avx512_vnni
Memory
Memory Amount
768 GiB
Memory Generation
DDR4
Memory Speed
3200 Mhz
GPU
GPU Count
0
GPUs
    Storage
    Storage Size
    0 GB
    Storages
      Network
      Network Speed
      100 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      Availability

      REGION / IDSPOTONDEMAND
      Oregon (US) / us-west-2
      2.1339 USD/h 8.9194 USD/h
      Frankfurt (DE) / eu-central-1
      1.1595 USD/h 11.5952 USD/h

      Economics

      Average Price per Region

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      Performance

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