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ecs.hfg6.2xlarge by Alibaba Cloud

ecs.hfg6.2xlarge is a ecs.hfg6 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 0.0647 USD per hour.
8 vCPU
32 GiB Memory
Spare SCore
7647
(All-cores)
1434
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.2xlarge
Description
ecs.hfg6 family (8 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-07-25T06:56:17.826807

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.3065 USD/h
Chengdu (CN) / cn-chengdu
0.0706 USD/h 0.307 USD/h
Guangzhou (CN) / cn-guangzhou
0.0647 USD/h 0.3405 USD/h
Shenzhen (CN) / cn-shenzhen
0.0647 USD/h 0.3405 USD/h
Beijing (CN) / cn-beijing
- 0.3405 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.3405 USD/h
Shanghai (CN) / cn-shanghai
- 0.3405 USD/h
Heyuan (CN) / cn-heyuan
- 0.341 USD/h
Virginia (US) / us-east-1
0.08565 USD/h 0.408 USD/h
Silicon Valley (US) / us-west-1
0.0938 USD/h 0.408 USD/h
London (GB) / eu-west-1
0.09915 USD/h 0.472 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.1119 USD/h 0.4864 USD/h
Frankfurt (DE) / eu-central-1
0.0787 USD/h 0.492 USD/h
Singapore (SG) / ap-southeast-1
0.10755 USD/h 0.512 USD/h
Jakarta (ID) / ap-southeast-5
0.10755 USD/h 0.512 USD/h
Tokyo (JP) / ap-northeast-1
0.1214 USD/h 0.528 USD/h
Hong Kong (HK) / cn-hongkong
- 0.564 USD/h
Riyadh (SA) / me-central-1
- 0.6144 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
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, 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
5.3
Scalability
66.25

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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated eight-core Intel Xeon server with balanced memory configuration for general-purpose computing and web serving workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.2xlarge is an x86_64 general-purpose server instance powered by an Intel Xeon 8269CY processor running at 3.1 GHz. It features 8 dedicated physical cores with a single thread per core and 32.0 GB of RAM, yielding 4.0 GB of memory per core. The instance lacks local storage and dedicated GPUs, relying on a 2 Gbps baseline network bandwidth. Performance benchmarks place the server in the average tier, with a Geekbench multi-core score of 4810.0 and a Redis SET throughput of 7.45 million operations per second. However, it shows poor performance on larger workloads, such as medium-sized LLM inference. This instance is best suited for general-purpose applications, software compilation, static web serving, and moderate database operations where dedicated CPU resources are required without the need for local NVMe storage or GPU acceleration.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.491Score
      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) 778,953 ops/sec 1,896,415 ops/sec 0.411 50.00% 50.00% -35.90%
      Redis RPS (pipeline=16, SET) 4,649,658 ops/sec 11,539,523 ops/sec 0.403 20.00% 20.00% -16.60%
      PassMark Memory Mark (composite) 2,320 2,411 0.962 10.00% 10.00% -0.39%
      Memory bandwidth (read, 16 MB ~ L3) 52,808 MB/sec 107,368 MB/sec 0.492 10.00% 10.00% -6.85%
      PassMark single-thread CPU 2,147 Mops/s 2,363 Mops/s 0.908 10.00% 10.00% -0.96%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,247

      Geekbench Multi-Core

      Score: 4,810

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9000
      Compression
      		 119641
      Encryption
      		 3537
      Extended Instructions
      		 7075
      Floating Point Maths
      		 13728
      Integer Maths
      		 25570
      Physics
      		 986
      Prime Numbers
      		 58
      Single Threaded
      		 2147
      String Sorting
      		 15794

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2320
      Database Operations
      		 2977
      Memory Latency
      		 55
      Memory Read Cached
      		 24340
      Memory Read Uncached
      		 10218
      Memory Write
      		 9959

      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.large 28 GiB0
      ecs.hfg6.xlarge 416 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.hfg6.2xlarge FAQs