ecs.r7t.2xlarge by Alibaba Cloud

ecs.r7t.2xlarge is a ecs.r7t family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.4867 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7,769
(All-cores)
1,891
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.r7t.2xlarge
Description
ecs.r7t family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.r7t
Hw Virt
Status
active
Observed At
2026-10-25T23:55:50.590150

Availability

REGION / IDSPOTONDEMAND
Beijing (CN) / cn-beijing
- 0.4867 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.4867 USD/h
Shanghai (CN) / cn-shanghai
- 0.4867 USD/h
Seoul (KR) / ap-northeast-2
- 0.6048 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
4
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
5 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, 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, abm, 3dnowprefetch, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, sgx, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, sgx_lc, fsrm, arch_capabilities
Ecpus
4.1
Scalability
51.25

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
32 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized x86_64 server with 8 GB of RAM per core, designed for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.r7t.2xlarge is a memory-optimized instance featuring 8 vCPUs and 64.0 GB of RAM, powered by a dedicated 2.7 GHz Intel Xeon 8369B processor. Operating on the x86_64 architecture, this KVM-based server provides 8.0 GB of memory per core and a baseline network bandwidth of 5 Gbps, though it lacks local storage and GPU accelerators. Performance benchmarks generally fall in the average range, including stress-ng, Geekbench, and Redis operations. However, a key tradeoff is its uncached memory read bandwidth, which registers in the bottom 25% at 33.45 GB/sec. Additionally, LLM inference performance for 7B models is weak. The instance is best suited for memory-intensive workloads such as database operations, caching layers, and general-purpose enterprise applications that do not require high local disk I/O.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.58Score
      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) 1,051,591 ops/sec 1,919,289 ops/sec 0.58 50.00% 50.00% -24.00%
      Redis RPS (pipeline=16, SET) 5,610,731 ops/sec 11,728,058 ops/sec 0.47 20.00% 20.00% -14.00%
      PassMark Memory Mark (composite) 2,075 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 35,905 MB/sec 108,466 MB/sec 0.33 10.00% 10.00% -10.00%
      PassMark single-thread CPU 2,370 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,546

      Geekbench Multi-Core

      Score: 5,655

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 11,393
      Compression
      		 125,940
      Encryption
      		 7,302
      Extended Instructions
      		 6,973
      Floating Point Maths
      		 17,235
      Integer Maths
      		 33,703
      Physics
      		 1,380
      Prime Numbers
      		 75
      Single Threaded
      		 2,370
      String Sorting
      		 17,429

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2,075
      Database Operations
      		 3,876
      Memory Latency
      		 62
      Memory Read Cached
      		 24,284
      Memory Read Uncached
      		 8,662
      Memory Write
      		 8,665

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      		 273.8 303.21 1.11×
      bitops
      		 130,659 533,322 4.08×
      branch
      		 137,510 873,343 6.35×
      funccall
      		 635.28 2,608 4.10×
      funcret
      		 12,107 70,126 5.79×
      hash
      		 151,340 879,812 5.81×
      intmath
      		 61,360 302,057 4.92×
      nop
      		 189,478 665,267 3.51×
      prime
      		 394,720 1,708,721 4.33×
      rotate
      		 97,989 416,439 4.25×
      str
      		 813,579 3,810,716 4.68×
      wcs
      		 621,391 2,133,761 3.43×
      CryptographySingleMultiScaling
      crypt
      		 2,840 10,545 3.71×
      CompressionSingleMultiScaling
      jpeg
      		 722.21 3,752 5.20×
      zlib
      		 47.01 337.91 7.19×
      HypervisorSingleMultiScaling
      clock
      		 25,965 149,758 5.77×
      clone
      		 616.24 1,881 3.05×
      context
      		 4,842 29,145 6.02×
      cpu-sched
      		 57.12 489.3 8.57×
      eventfd
      		 92,986 696,519 7.49×
      fault
      		 18,612 89,013 4.78×
      fork
      		 5,973 32,875 5.50×
      getrandom
      		 51,133 236,681 4.63×
      hrtimers
      		 158,386 1,221,813 7.71×
      mprotect
      		 1,080,507 2,151,647 1.99×
      mtx
      		 14,111,223 279,599,642 19.81×
      munmap
      		 4,390 21,464 4.89×
      null
      		 797,801 3,922,409 4.92×
      pipe
      		 1,030,401 4,586,098 4.45×
      priv-instr
      		 827,585 4,125,388 4.98×
      resched
      		 3,377,138 1,169,388 0.35×
      switch
      		 216,430 1,387,957 6.41×
      timermix
      		 346,857 2,397,619 6.91×
      tlb-shootdown
      		 11,736 22,609 1.93×
      tsc
      		 770,042 4,555,661 5.92×
      usersyscall
      		 645,347 3,204,735 4.97×
      vdso
      		 112,500,637 509,459,339 4.53×
      vfork
      		 48,049 164,519 3.42×
      x86syscall
      		 9,119,006 49,753,650 5.46×
      yield
      		 6,646,553 6,466,308 0.97×
      zero
      		 4,637,896 22,004,546 4.74×
      CPU float/SIMDSingleMultiScaling
      eigen
      		 14,828 76,969 5.19×
      expmath
      		 2,888 16,989 5.88×
      fma
      		 661,490 4,609,236 6.97×
      fp
      		 201.6 825.75 4.10×
      fractal
      		 5 29.6 5.92×
      hyperbolic
      		 3,031 18,279 6.03×
      logmath
      		 4,860 28,156 5.79×
      matrix
      		 3,504 22,203 6.34×
      matrix-3d
      		 781.07 2,207 2.83×
      monte-carlo
      		 258.81 1,410 5.45×
      mpfr
      		 1,412 6,052 4.29×
      powmath
      		 1,690 10,096 5.98×
      trig
      		 1,965 10,039 5.11×
      veccmp
      		 20,308 78,734 3.88×
      vecfp
      		 1,530 7,489 4.89×
      vecmath
      		 3,236 18,777 5.80×
      vecshuf
      		 666.29 2,901 4.35×
      vecwide
      		 31,943 148,297 4.64×
      AlgorithmsSingleMultiScaling
      bitonicsort
      		 8 32 4.00×
      bsearch
      		 249.74 1,351 5.41×
      bubblesort
      		 1 3.2 3.20×
      fibsearch
      		 288.86 1,430 4.95×
      heapsort
      		 9.4 43.2 4.60×
      hsearch
      		 7,340 32,407 4.42×
      insertionsort
      		 10.6 25.4 2.40×
      malloc
      		 2,665,447 17,925,103 6.72×
      mcontend
      		 168.47 1,644 9.76×
      mergesort
      		 26.8 150.8 5.63×
      qsort
      		 20.6 87.2 4.23×
      skiplist
      		 5,460 32,486 5.95×
      tree
      		 1.6 8 5.00×
      MemorySingleMultiScaling
      cache
      		 438,771 688,220 1.57×
      cachehammer
      		 357,535 2,580,884 7.22×
      cacheline
      		 59.64 477.28 8.00×
      l1cache
      		 918.37 1,520 1.65×
      memcpy
      		 407.32 1,609 3.95×
      memrate
      		 1.58 6.24 3.95×
      memthrash
      		 194.47 343.79 1.77×
      ptr-chase
      		 34,978,553 96,573,592 2.76×
      spinmem
      		 349.99 367.98 1.05×
      stream
      		 23.02 783.46 34.03×
      vm
      		 85,531 292,013 3.41×

      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

      INSTANCEvCPUsMEMORYAccelerators
      ecs.r7t.large 216 GiB0
      ecs.r7t.xlarge 432 GiB0
      ecs.r7t.3xlarge 1296 GiB0
      ecs.r7t.4xlarge 16128 GiB0
      ecs.r7t.6xlarge 24192 GiB0
      ecs.r7t.8xlarge 32256 GiB0
      ecs.r7t.16xlarge 64512 GiB0

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      ecs.r7t.2xlarge FAQs