ecs.hfg6.large by Alibaba Cloud

ecs.hfg6.large is a ecs.hfg6 family (2 vCPUs, 8 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 8 GiB of memory and 0 GB of storage. The pricing starts at 0.0163 USD per hour.
2 vCPU
8 GiB Memory
Spare SCore
1,905
(All-cores)
1,431
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.large
Description
ecs.hfg6 family (2 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-10-06T04:34:40.169418

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.0766 USD/h
Chengdu (CN) / cn-chengdu
- 0.0767 USD/h
Heyuan (CN) / cn-heyuan
- 0.085 USD/h
Beijing (CN) / cn-beijing
- 0.0851 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.0851 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.0851 USD/h
Shanghai (CN) / cn-shanghai
- 0.0851 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.0851 USD/h
Virginia (US) / us-east-1
0.0163 USD/h 0.102 USD/h
Silicon Valley (US) / us-west-1
0.0204 USD/h 0.102 USD/h
London (GB) / eu-west-1
0.02595 USD/h 0.118 USD/h
Frankfurt (DE) / eu-central-1
- 0.123 USD/h
Jakarta (ID) / ap-southeast-5
0.0205 USD/h 0.128 USD/h
Singapore (SG) / ap-southeast-1
- 0.128 USD/h
Tokyo (JP) / ap-northeast-1
0.0211 USD/h 0.132 USD/h
Hong Kong (HK) / cn-hongkong
0.0226 USD/h 0.141 USD/h
Riyadh (SA) / me-central-1
0.07065 USD/h 0.1536 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
1
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
8 GiB
Memory Amount Actual
8 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-vCPU virtual server offering balanced memory and stable single-threaded performance for entry-level workloads without local storage.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.large is a KVM-based virtual machine featuring 2 vCPUs and 8.0 GB of RAM, powered by a dedicated Intel Xeon 8269CY processor running at 3.1 GHz. Built on the x86_64 architecture, it provides a balanced 1:4 vCPU-to-RAM ratio with no local storage or GPU capabilities. Performance benchmarks show average single-core execution speeds, aided by AVX-512 support, but poor multi-core and memory bandwidth results due to the dual-vCPU limitation. With a baseline network bandwidth of 1 Gbps, this instance offers a stable, dedicated hardware profile for entry-level workloads. It is qualitatively cost-efficient for applications requiring dedicated CPU cycles without high resource density. The ecs.hfg6.large is best suited for lightweight web serving, single-threaded processing tasks, and small-scale development or testing environments.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.17Score
      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) 197,376 ops/sec 1,916,704 ops/sec 0.11 50.00% 50.00% -67.00%
      Redis RPS (pipeline=16, SET) 1,219,672 ops/sec 11,642,227 ops/sec 0.1 20.00% 20.00% -37.00%
      PassMark Memory Mark (composite) 1,243 2,417 0.5 10.00% 10.00% -6.70%
      Memory bandwidth (read, 16 MB ~ L3) 25,341 MB/sec 108,361 MB/sec 0.23 10.00% 10.00% -14.00%
      PassMark single-thread CPU 2,087 Mops/s 2,365 Mops/s 0.88 10.00% 10.00% -1.30%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,263

      Geekbench Multi-Core

      Score: 1,512

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 2354
      Compression
      		 29433
      Encryption
      		 882
      Extended Instructions
      		 1677
      Floating Point Maths
      		 3425
      Integer Maths
      		 6380
      Physics
      		 306
      Prime Numbers
      		 16
      Single Threaded
      		 2087
      String Sorting
      		 3973

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1243
      Database Operations
      		 771
      Memory Latency
      		 54
      Memory Read Cached
      		 24552
      Memory Read Uncached
      		 10039
      Memory Write
      		 9854

      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.hfg6.xlarge 416 GiB0
      ecs.hfg6.2xlarge 832 GiB0
      ecs.hfg6.3xlarge 1248 GiB0
      ecs.hfg6.4xlarge 1664 GiB0
      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.8xlarge 32128 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

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      ecs.hfg6.large FAQs