ecs.t6-c1m4.2xlarge by Alibaba Cloud

ecs.t6-c1m4.2xlarge is a ecs.t6 family (8 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0263 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
9,659
(All-cores)
1,303
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t6-c1m4.2xlarge
Description
ecs.t6 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.t6
Hw Virt
Status
active
Observed At
2026-10-25T20:37:05.498038

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0368 USD/h 0.2631 USD/h
Virginia (US) / us-east-1
0.0517 USD/h 0.287 USD/h
Silicon Valley (US) / us-west-1
0.0517 USD/h 0.287 USD/h
Heyuan (CN) / cn-heyuan
0.0263 USD/h 0.292 USD/h
Beijing (CN) / cn-beijing
0.0263 USD/h 0.2924 USD/h
Guangzhou (CN) / cn-guangzhou
0.0292 USD/h 0.2924 USD/h
Shenzhen (CN) / cn-shenzhen
0.0322 USD/h 0.2924 USD/h
Hohhot (CN) / cn-huhehaote
0.0526 USD/h 0.2924 USD/h
Chengdu (CN) / cn-chengdu
- 0.2924 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2924 USD/h
Shanghai (CN) / cn-shanghai
- 0.2924 USD/h
London (GB) / eu-west-1
0.0456 USD/h 0.326 USD/h
Manila (PH) / ap-southeast-6
0.036 USD/h 0.3276 USD/h
Frankfurt (DE) / eu-central-1
- 0.331 USD/h
Bangkok (TH) / ap-southeast-7
0.0622 USD/h 0.3458 USD/h
Jakarta (ID) / ap-southeast-5
0.051 USD/h 0.364 USD/h
Seoul (KR) / ap-northeast-2
0.0655 USD/h 0.364 USD/h
Singapore (SG) / ap-southeast-1
- 0.364 USD/h
Tokyo (JP) / ap-northeast-1
0.0675 USD/h 0.375 USD/h
Hong Kong (HK) / cn-hongkong
- 0.403 USD/h
Riyadh (SA) / me-central-1
- 0.4368 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Burstable
CPU Cores
4
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
CPU L1D Cache
32 KiB
CPU L1D Cache Total
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 MiB
CPU L3 Cache
36 MiB
CPU L3 Cache Total
36 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, ssse3, fma, cx16, pcid, sse4_1, sse4_2, x2apic, movbe, popcnt, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, clflushopt, clwb, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, arat, avx512_vnni
Ecpus
7.4
Scalability
92.5

System Resources and Accelerators

MEMORY
Memory Amount
32 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
      0.32 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A burstable general-purpose instance offering balanced memory and multi-core capabilities for workloads with variable CPU utilization.

      Burstable & BudgetGeneral Purpose

      Alibaba Cloud ecs.t6-c1m4.2xlarge is a burstable, general-purpose virtual machine instance powered by an Intel Xeon 8269CY processor with an x86_64 architecture. It features 8 vCPUs (4 physical cores with hyper-threading), 32.0 GB of RAM, no local storage, and no GPU accelerators. Operating on the KVM hypervisor, this instance delivers average multi-core performance, as evidenced by a Passmark CPU score of 10087.86 and a Geekbench multi-core score of 4827.0, though single-core performance remains weak. Memory bandwidth is moderate, reaching 61.66 GB/sec for large block reads. Given its burstable CPU allocation and lack of baseline network bandwidth, this instance offers a cost-effective profile for workloads with variable resource demands. It is best suited for development environments, code compilation, static web serving, and light database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.54Score
      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) 942,302 ops/sec 1,919,289 ops/sec 0.49 50.00% 50.00% -30.00%
      Redis RPS (pipeline=16, SET) 5,203,764 ops/sec 11,728,058 ops/sec 0.43 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,072 2,416 0.88 10.00% 10.00% -1.30%
      Memory bandwidth (read, 16 MB ~ L3) 62,115 MB/sec 108,466 MB/sec 0.56 10.00% 10.00% -5.60%
      PassMark single-thread CPU 1,904 Mops/s 2,365 Mops/s 0.79 10.00% 10.00% -2.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,039

      Geekbench Multi-Core

      Score: 4,827

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      10,088
      Compression
      141,124
      Encryption
      3,633
      Extended Instructions
      8,823
      Floating Point Maths
      18,457
      Integer Maths
      28,061
      Physics
      948
      Prime Numbers
      49
      Single Threaded
      1,904
      String Sorting
      19,258

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2,072
      Database Operations
      2,641
      Memory Latency
      61
      Memory Read Cached
      21,203
      Memory Read Uncached
      8,732
      Memory Write
      8,378

      Stress-ng Stressors

      CPU integerSingleMultiScaling
      atomic
      207.22 196.43 0.95×
      bitops
      114,144 653,209 5.72×
      branch
      117,739 1,025,519 8.71×
      funccall
      501.94 3,866 7.70×
      funcret
      10,666 76,085 7.13×
      hash
      121,907 885,763 7.27×
      intmath
      18,557 163,462 8.81×
      nop
      177,316 1,174,318 6.62×
      prime
      227,906 1,855,947 8.14×
      rotate
      85,667 640,487 7.48×
      str
      671,713 5,178,385 7.71×
      wcs
      328,665 2,777,948 8.45×
      CryptographySingleMultiScaling
      crypt
      2,221 16,571 7.46×
      CompressionSingleMultiScaling
      jpeg
      547.9 3,807 6.95×
      zlib
      56.06 355.21 6.34×
      HypervisorSingleMultiScaling
      clock
      12,747 78,796 6.18×
      clone
      412.31 1,571 3.81×
      context
      1,540 13,650 8.87×
      cpu-sched
      70.39 525.46 7.46×
      eventfd
      32,449 541,239 16.68×
      fault
      10,612 71,167 6.71×
      fork
      2,683 24,361 9.08×
      getrandom
      36,382 295,968 8.14×
      hrtimers
      159,012 902,637 5.68×
      mprotect
      885,632 1,487,787 1.68×
      mtx
      12,233,329 343,805,202 28.10×
      munmap
      1,927 16,626 8.63×
      null
      187,334 1,416,243 7.56×
      pipe
      774,235 2,968,399 3.83×
      priv-instr
      372,753 2,606,543 6.99×
      resched
      2,112,581 728,122 0.34×
      switch
      51,943 1,319,111 25.40×
      timermix
      329,576 2,455,516 7.45×
      tlb-shootdown
      8,696 21,767 2.50×
      tsc
      931,922 7,159,015 7.68×
      usersyscall
      281,609 1,918,552 6.81×
      vdso
      76,092,618 574,908,310 7.56×
      vfork
      15,500 89,381 5.77×
      x86syscall
      1,967,997 14,178,648 7.20×
      yield
      5,072,602 5,509,596 1.09×
      zero
      1,416,229 10,727,591 7.57×
      CPU float/SIMDSingleMultiScaling
      eigen
      14,457 110,098 7.62×
      expmath
      2,497 17,199 6.89×
      fma
      545,882 4,051,132 7.42×
      fp
      106.78 796.85 7.46×
      fractal
      4.6 34.4 7.48×
      hyperbolic
      2,625 19,734 7.52×
      logmath
      4,247 30,662 7.22×
      matrix
      2,737 21,926 8.01×
      matrix-3d
      366.46 2,206 6.02×
      monte-carlo
      96.88 662.64 6.84×
      mpfr
      1,141 7,583 6.64×
      powmath
      1,485 10,981 7.40×
      trig
      1,601 11,365 7.10×
      veccmp
      14,329 97,247 6.79×
      vecfp
      1,218 8,723 7.16×
      vecmath
      1,946 15,054 7.74×
      vecshuf
      497.68 3,683 7.40×
      vecwide
      22,745 127,267 5.60×
      AlgorithmsSingleMultiScaling
      bitonicsort
      6.6 45.8 6.94×
      bsearch
      232.42 1,620 6.97×
      bubblesort
      0.6 4.8 8.00×
      fibsearch
      261.05 1,768 6.77×
      heapsort
      7.8 50.2 6.44×
      hsearch
      4,496 33,304 7.41×
      insertionsort
      6.4 47.4 7.41×
      malloc
      1,213,964 12,667,236 10.43×
      mcontend
      123.06 2,039 16.57×
      mergesort
      23.4 164.6 7.03×
      qsort
      17.2 113 6.57×
      skiplist
      4,134 36,137 8.74×
      tree
      0.6 3 5.00×
      MemorySingleMultiScaling
      cache
      213,412 313,979 1.47×
      cachehammer
      331,431 2,509,430 7.57×
      cacheline
      25.49 205.46 8.06×
      l1cache
      191.23 1,658 8.67×
      memcpy
      335.14 2,463 7.35×
      memrate
      1.16 6.58 5.67×
      memthrash
      66.87 328.04 4.91×
      ptr-chase
      9,744,629 72,665,593 7.46×
      spinmem
      331.18 460.61 1.39×
      stream
      25.81 1,217 47.15×
      vm
      53,208 291,832 5.48×

      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

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      ecs.t6-c1m2.large 24 GiB0
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      ecs.t6-c1m4.2xlarge FAQs