ecs.r8a.8xlarge by Alibaba Cloud

ecs.r8a.8xlarge is a ecs.r8a family (32 vCPUs, 256 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 256 GiB of memory and 0 GB of storage. The pricing starts at 1.6835 USD per hour.
32 vCPU
256 GiB Memory
Spare SCore
49,143
(All-cores)
3,073
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r8a.8xlarge
Description
ecs.r8a family (32 vCPUs, 256 GiB RAM, 0 GB storage)
Family
ecs.r8a
Hw Virt
Average Time To Start
13
Status
active
Observed At
2026-10-26T06:56:37.671368

Availability

REGION / IDSPOTONDEMAND
Shenzhen (CN) / cn-shenzhen
- 1.6835 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
9T24
CPU L1D Cache
32 KiB
CPU L1D Cache Total
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
64 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, amd_lbr_v2, nopl, nonstop_tsc, cpuid, extd_apicid, aperfmperf, tsc_known_freq, pni, pclmulqdq, monitor, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, cmp_legacy, extapic, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, ibs, topoext, perfctr_core, perfctr_llc, mwaitx, ssbd, perfmon_v2, ibrs, ibpb, stibp, ibrs_enhanced, vmmcall, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, avx512_bf16, clzero, irperf, xsaveerptr, rdpru, wbnoinvd, arat, avx512vbmi, umip, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm
Ecpus
16
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
256 GiB
Memory Amount Actual
256 GiB
ACCELERATORS
Accelerator Count
0
Accelerator Memory Min
0 MiB
Accelerator Memory Total
0 MiB
Accelerators
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      10 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated AMD EPYC processors and high RAM density for memory-bound enterprise workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r8a.8xlarge is a memory-optimized instance featuring 32 dedicated vCPUs and 256.0 GB of RAM, powered by an AMD EPYC 9T24 processor running at 2.7 GHz. Built on the KVM hypervisor, this x86_64 server provides 8.0 GB of memory per core but lacks local storage and GPU accelerators. It delivers strong single-core CPU performance alongside average multi-core and memory bandwidth capabilities. The processor supports advanced instruction sets such as AVX-512 and AVX512_VNNI for vector and neural network calculations. With a baseline network bandwidth of 10 Gbps, this instance is designed for memory-intensive workloads, including in-memory databases, caching layers, and enterprise applications that require a high memory-to-vCPU ratio without the added cost of local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.76Score
      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.Partial coverage: missing component benchmark(s): Redis RPS (pipeline=1, SET), Redis RPS (pipeline=16, SET), PassMark Memory Mark (composite), PassMark single-thread CPU.
      Component Score Weight Impact
      Raw Reference Normalized Target Actual
      Redis RPS (pipeline=1, SET) — 1,919,289 ops/sec — 50.00% 0.00% —
      Redis RPS (pipeline=16, SET) — 11,728,058 ops/sec — 20.00% 0.00% —
      PassMark Memory Mark (composite) — 2,416 — 10.00% 0.00% —
      Memory bandwidth (read, 16 MB ~ L3) 84,211 MB/sec 108,466 MB/sec 0.76 10.00% 100.00% -24.00%
      PassMark single-thread CPU — 2,365 Mops/s — 10.00% 0.00% —

      Memory Bandwidth

      Compression

      OpenSSL

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 411.43 225.44 0.55×
      bitops
      		 160,344 3,095,554 19.31×
      branch
      		 212,334 6,064,165 28.56×
      funccall
      		 617.36 13,778 22.32×
      funcret
      		 20,804 487,893 23.45×
      hash
      		 162,962 3,916,835 24.04×
      intmath
      		 67,221 1,443,372 21.47×
      nop
      		 626,071 10,176,894 16.26×
      prime
      		 475,954 10,204,471 21.44×
      rotate
      		 88,084 1,410,487 16.01×
      str
      		 1,059,694 21,560,850 20.35×
      wcs
      		 698,262 13,011,853 18.63×
      CryptographySingleMultiScaling
      crypt
      		 3,736 64,681 17.31×
      CompressionSingleMultiScaling
      jpeg
      		 828.24 19,392 23.41×
      zlib
      		 55.13 1,778 32.24×
      HypervisorSingleMultiScaling
      clock
      		 18,261 263,082 14.41×
      clone
      		 298.59 5,394 18.06×
      context
      		 1,776 42,656 24.02×
      cpu-sched
      		 64.93 2,069 31.87×
      eventfd
      		 72,921 1,698,813 23.30×
      fault
      		 10,839 223,688 20.64×
      fork
      		 3,877 68,617 17.70×
      getrandom
      		 49,827 1,065,403 21.38×
      hrtimers
      		 129,009 3,407,496 26.41×
      mprotect
      		 727,702 4,543,091 6.24×
      mtx
      		 34,741,507 1,950,247,313 56.14×
      munmap
      		 2,784 50,379 18.10×
      null
      		 192,842 4,457,998 23.12×
      pipe
      		 929,257 9,982,247 10.74×
      priv-instr
      		 328,379 7,812,991 23.79×
      resched
      		 5,738,600 3,539,988 0.62×
      switch
      		 180,823 3,778,250 20.89×
      timermix
      		 183,004 4,887,852 26.71×
      tlb-shootdown
      		 15,316 115,297 7.53×
      tsc
      		 783,120 24,526,595 31.32×
      usersyscall
      		 238,047 5,708,953 23.98×
      vdso
      		 92,377,135 2,394,691,988 25.92×
      vfork
      		 27,736 167,550 6.04×
      x86syscall
      		 2,200,786 50,337,393 22.87×
      yield
      		 18,565,748 17,100,391 0.92×
      zero
      		 1,677,448 39,792,090 23.72×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 16,443 273,972 16.66×
      expmath
      		 2,868 72,376 25.23×
      fma
      		 918,269 24,100,177 26.25×
      fp
      		 251.47 6,199 24.65×
      fractal
      		 7.4 202.24 27.33×
      hyperbolic
      		 3,815 91,550 24.00×
      logmath
      		 4,551 104,373 22.94×
      matrix
      		 4,924 91,959 18.67×
      matrix-3d
      		 953.39 3,989 4.18×
      monte-carlo
      		 106.94 2,414 22.57×
      mpfr
      		 1,691 34,361 20.32×
      powmath
      		 1,319 34,577 26.22×
      trig
      		 1,870 45,335 24.25×
      veccmp
      		 18,959 397,506 20.97×
      vecfp
      		 1,805 43,223 23.95×
      vecmath
      		 4,025 102,545 25.48×
      vecshuf
      		 637.4 12,528 19.66×
      vecwide
      		 28,586 611,303 21.39×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 10.4 188.8 18.15×
      bsearch
      		 305.28 6,602 21.62×
      bubblesort
      		 0.8 19.6 24.50×
      fibsearch
      		 378.49 7,368 19.47×
      heapsort
      		 11 242.99 22.09×
      hsearch
      		 11,231 196,363 17.48×
      insertionsort
      		 13 211.2 16.25×
      malloc
      		 3,870,653 58,387,472 15.08×
      mcontend
      		 136.28 5,826 42.75×
      mergesort
      		 34.2 809.97 23.68×
      qsort
      		 22 504.39 22.93×
      skiplist
      		 7,030 182,161 25.91×
      tree
      		 2 25.58 12.79×
      MemorySingleMultiScaling
      cache
      		 876,824 1,691,063 1.93×
      cachehammer
      		 287,429 7,737,585 26.92×
      cacheline
      		 42.38 2,543 59.99×
      l1cache
      		 255.94 4,653 18.18×
      memcpy
      		 447.2 7,322 16.37×
      memrate
      		 3.9 12.11 3.11×
      memthrash
      		 171.1 1,115 6.52×
      ptr-chase
      		 44,915,299 262,800,329 5.85×
      spinmem
      		 272.19 1,878 6.90×
      stream
      		 136.23 13,495 99.06×
      vm
      		 57,768 295,900 5.12×

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYAccelerators
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      ecs.r8a.4xlarge 16128 GiB0
      ecs.r8a.12xlarge 48384 GiB0
      ecs.r8a.16xlarge 64512 GiB0
      ecs.r8a.24xlarge 96768 GiB0

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      ecs.r8a.8xlarge FAQs