ecs.t6-c1m1.large by Alibaba Cloud

ecs.t6-c1m1.large is a ecs.t6 family (2 vCPUs, 2 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 2 GiB of memory and 0 GB of storage. The pricing starts at 0.0016 USD per hour.
2 vCPU
2 GiB Memory
Spare SCore
2,508
(All-cores)
1,256
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.t6-c1m1.large
Description
ecs.t6 family (2 vCPUs, 2 GiB RAM, 0 GB storage)
Family
ecs.t6
Hw Virt
Average Time To Start
30
Status
active
Observed At
2026-09-16T05:49:49.759955

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.0164 USD/h
Heyuan (CN) / cn-heyuan
0.0016 USD/h 0.018 USD/h
Virginia (US) / us-east-1
0.00305 USD/h 0.018 USD/h
Silicon Valley (US) / us-west-1
0.0041 USD/h 0.018 USD/h
Nanjing (CN) / cn-nanjing
0.0018 USD/h 0.0183 USD/h
Hohhot (CN) / cn-huhehaote
0.0026 USD/h 0.0183 USD/h
Shenzhen (CN) / cn-shenzhen
0.0026 USD/h 0.0183 USD/h
Beijing (CN) / cn-beijing
- 0.0183 USD/h
Chengdu (CN) / cn-chengdu
- 0.0183 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.0183 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.0183 USD/h
Shanghai (CN) / cn-shanghai
- 0.0183 USD/h
London (GB) / eu-west-1
0.0024 USD/h 0.02 USD/h
Manila (PH) / ap-southeast-6
0.0023 USD/h 0.0207 USD/h
Frankfurt (DE) / eu-central-1
0.0032 USD/h 0.021 USD/h
Bangkok (TH) / ap-southeast-7
0.0048 USD/h 0.0219 USD/h
Singapore (SG) / ap-southeast-1
0.00295 USD/h 0.023 USD/h
Jakarta (ID) / ap-southeast-5
0.0032 USD/h 0.023 USD/h
Seoul (KR) / ap-northeast-2
0.0041 USD/h 0.023 USD/h
Tokyo (JP) / ap-northeast-1
0.0044 USD/h 0.023 USD/h
Hong Kong (HK) / cn-hongkong
- 0.025 USD/h
Riyadh (SA) / me-central-1
0.0055 USD/h 0.0276 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Burstable
CPU Cores
2
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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
2
Scalability
100

System Resources and Accelerators

MEMORY
Memory Amount
2 GiB
Memory Amount Actual
2 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
      0.08 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A burstable, budget-friendly virtual machine featuring dual Intel Xeon cores and two gigabytes of memory for lightweight workloads.

      Burstable & BudgetGeneral Purpose

      Alibaba Cloud ecs.t6-c1m1.large is a burstable, entry-level virtual machine instance powered by an Intel Xeon 8269CY x86_64 processor. It features 2 vCPUs, 2.0 GB of RAM, and no local storage, operating on the KVM hypervisor. Designed for budget-conscious deployments, its performance benchmarks place it in the lower tiers, with a stress-ng single-core score of 1255.78 and uncached memory read bandwidth of 20.37 GB/sec. The instance is qualitatively cost-efficient for workloads that require minimal baseline CPU usage but need the ability to burst during peak periods. It is best suited for lightweight applications such as low-traffic web servers, microservices, and development environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.18Score
      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) 244,649 ops/sec 1,917,397 ops/sec 0.128 50.00% 50.00% -64.20%
      Redis RPS (pipeline=16, SET) 1,552,561 ops/sec 11,681,410 ops/sec 0.133 20.00% 20.00% -33.20%
      PassMark Memory Mark (composite) 881 2,418 0.364 10.00% 10.00% -9.61%
      Memory bandwidth (read, 16 MB ~ L3) 24,849 MB/sec 108,140 MB/sec 0.23 10.00% 10.00% -13.70%
      PassMark single-thread CPU 1,669 Mops/s 2,365 Mops/s 0.706 10.00% 10.00% -3.42%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 2939
      Compression
      		 38936
      Encryption
      		 935
      Extended Instructions
      		 2619
      Floating Point Maths
      		 5434
      Integer Maths
      		 7442
      Physics
      		 309
      Prime Numbers
      		 17
      Single Threaded
      		 1669
      String Sorting
      		 4917

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 881
      Database Operations
      		 617
      Memory Latency
      		 59
      Memory Read Cached
      		 21852
      Memory Read Uncached
      		 8953
      Memory Write
      		 8372

      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.t6-c4m1.large 20.5 GiB0
      ecs.t6-c2m1.large 21 GiB0
      ecs.t6-c1m2.large 24 GiB0
      ecs.t6-c1m4.large 28 GiB0
      ecs.t6-c1m4.xlarge 416 GiB0
      ecs.t6-c1m4.2xlarge 832 GiB0

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      ecs.t6-c1m1.large FAQs