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ecs.hfc6.large by Alibaba Cloud

ecs.hfc6.large is a ecs.hfc6 family (2 vCPUs, 4 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 4 GiB of memory and 0 GB of storage. The pricing starts at 0.0104 USD per hour.
2 vCPU
4 GiB Memory
Spare SCore
1904
(All-cores)
1430
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.large
Description
ecs.hfc6 family (2 vCPUs, 4 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-21T01:27:01.604133

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.0624 USD/h
Chengdu (CN) / cn-chengdu
0.0125 USD/h 0.0626 USD/h
Heyuan (CN) / cn-heyuan
- 0.069 USD/h
Guangzhou (CN) / cn-guangzhou
0.0104 USD/h 0.0693 USD/h
Beijing (CN) / cn-beijing
- 0.0693 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.0693 USD/h
Shanghai (CN) / cn-shanghai
- 0.0693 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.0693 USD/h
Virginia (US) / us-east-1
0.0174 USD/h 0.087 USD/h
Silicon Valley (US) / us-west-1
0.0174 USD/h 0.087 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.0228 USD/h 0.095 USD/h
Frankfurt (DE) / eu-central-1
- 0.099 USD/h
Jakarta (ID) / ap-southeast-5
0.02 USD/h 0.1 USD/h
Singapore (SG) / ap-southeast-1
0.024 USD/h 0.1 USD/h
London (GB) / eu-west-1
0.0206 USD/h 0.103 USD/h
Tokyo (JP) / ap-northeast-1
0.0165 USD/h 0.11 USD/h
Hong Kong (HK) / cn-hongkong
0.0222 USD/h 0.111 USD/h
Riyadh (SA) / me-central-1
0.0468 USD/h 0.12 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
CPU Speed
3.1 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, 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, 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, ida, arat, avx512_vnni
Ecpus
1.3
Scalability
65

System Resources and Accelerators

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

      CPU and System Topology

      Server Description

      A dedicated dual-core Intel Xeon instance optimized for lightweight, single-threaded compute tasks without local storage.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.large is an x86_64 compute-optimized instance featuring 2 dedicated vCPUs on an Intel Xeon 8269CY processor running at 3.1 GHz, paired with 4.0 GB of RAM and no local storage. Operating on the KVM hypervisor, it delivers average single-core performance in benchmarks like Geekbench and stress-ng, but falls into the bottom 10% for multi-core and memory bandwidth tests. With a baseline network bandwidth of 1 Gbps and no bundled GPU, this instance represents a low-cost entry point for dedicated CPU compute. It is best suited for lightweight, single-threaded applications, basic web serving, and small-scale development tasks where memory and multi-core scaling are not critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.163Score
      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) 194,795 ops/sec 1,896,415 ops/sec 0.103 50.00% 50.00% -67.90%
      Redis RPS (pipeline=16, SET) 1,208,932 ops/sec 11,539,523 ops/sec 0.105 20.00% 20.00% -36.30%
      PassMark Memory Mark (composite) 1,207 2,411 0.501 10.00% 10.00% -6.68%
      Memory bandwidth (read, 16 MB ~ L3) 25,620 MB/sec 107,368 MB/sec 0.239 10.00% 10.00% -13.30%
      PassMark single-thread CPU 2,085 Mops/s 2,363 Mops/s 0.882 10.00% 10.00% -1.25%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,263

      Geekbench Multi-Core

      Score: 1,507

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		2342
      Compression
      		29295
      Encryption
      		880
      Extended Instructions
      		1655
      Floating Point Maths
      		3378
      Integer Maths
      		6357
      Physics
      		305
      Prime Numbers
      		16
      Single Threaded
      		2085
      String Sorting
      		4016

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		1207
      Database Operations
      		767
      Memory Latency
      		54
      Memory Read Cached
      		24469
      Memory Read Uncached
      		10204
      Memory Write
      		9748

      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.hfc6.xlarge 48 GiB0
      ecs.hfc6.2xlarge 816 GiB0
      ecs.hfc6.3xlarge 1224 GiB0
      ecs.hfc6.4xlarge 1632 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.large FAQs