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ecs.t5-c1m2.4xlarge by Alibaba Cloud

ecs.t5-c1m2.4xlarge is a ecs.t5 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.036 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
16363
(All-cores)
1080
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t5-c1m2.4xlarge
Description
ecs.t5 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.t5
Hw Virt
Status
active
Observed At
2026-07-30T17:48:20.699484

Availability

REGION / IDSPOTONDEMAND
London (GB) / eu-west-1
0.05505 USD/h 0.344 USD/h
Hong Kong (HK) / cn-hongkong
- 0.358 USD/h
Silicon Valley (US) / us-west-1
0.036 USD/h 0.36 USD/h
Singapore (SG) / ap-southeast-1
0.0526 USD/h 0.376 USD/h
Jakarta (ID) / ap-southeast-5
0.0677 USD/h 0.376 USD/h
Tokyo (JP) / ap-northeast-1
0.0549 USD/h 0.392 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Burstable
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
15.2
Scalability
95

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 GiB
GPU
GPU Count
0
GPU Memory Min
0 MiB
GPU Memory Total
0 MiB
GPUs
    STORAGE
    Storage Size
    0 GB
    Storages
      NETWORK
      Network Speed Baseline
      1.2 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A burstable multi-core instance with balanced memory and baseline networking for variable, non-sustained compute workloads.

      Burstable & BudgetGeneral Purpose

      Alibaba Cloud ecs.t5-c1m2.4xlarge is a burstable x86_64 instance featuring 16 vCPUs and 32.0 GB of RAM, powered by an Intel Xeon 8269CY processor running at 2.5 GHz. Built on the KVM hypervisor, this server does not include local storage or GPU accelerators, and it operates with a baseline network bandwidth of 1 Gbps. Benchmark data shows weak single-core performance, with single-threaded compression and text processing scoring in the bottom decile. Conversely, multi-core operations, including software compilation, ray tracing, and static web serving, achieve average performance tiers. The burstable CPU allocation makes this instance a qualitatively cost-effective option for workloads with variable resource demands. It is best suited for development environments, multi-threaded build jobs, and general-purpose web serving that do not require sustained peak CPU performance.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.816Score
      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) 1,621,984 ops/sec 1,896,415 ops/sec 0.855 50.00% 50.00% -7.53%
      Redis RPS (pipeline=16, SET) 8,420,506 ops/sec 11,539,523 ops/sec 0.73 20.00% 20.00% -6.10%
      PassMark Memory Mark (composite) 1,648 2,411 0.683 10.00% 10.00% -3.74%
      Memory bandwidth (read, 16 MB ~ L3) 120,835 MB/sec 107,368 MB/sec 1.13 10.00% 10.00% +1.23%
      PassMark single-thread CPU 1,651 Mops/s 2,363 Mops/s 0.699 10.00% 10.00% -3.52%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 872

      Geekbench Multi-Core

      Score: 6,459

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      16269
      Compression
      251162
      Encryption
      6240
      Extended Instructions
      17422
      Floating Point Maths
      30934
      Integer Maths
      45985
      Physics
      1706
      Prime Numbers
      86
      Single Threaded
      1651
      String Sorting
      31917

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1648
      Database Operations
      3747
      Memory Latency
      86
      Memory Read Cached
      18902
      Memory Read Uncached
      6285
      Memory Write
      6558

      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

      INSTANCEvCPUsMEMORYGPUs
      ecs.t5-lc2m1.nano 10.5 GiB0
      ecs.t5-lc1m1.small 11 GiB0
      ecs.t5-lc1m2.small 12 GiB0
      ecs.t5-c1m1.large 22 GiB0
      ecs.t5-c1m2.large 24 GiB0
      ecs.t5-lc1m2.large 24 GiB0
      ecs.t5-c1m4.large 28 GiB0

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      ecs.t5-c1m2.4xlarge FAQs