ecs.hfg5.large by Alibaba Cloud

ecs.hfg5.large is a ecs.hfg5 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 0.0259 USD per hour.
2 vCPU
8 GiB Memory
Spare SCore
1,789
(All-cores)
1,347
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg5.large
Description
ecs.hfg5 family (2 vCPUs, 8 GiB RAM, 0 GB storage)
Family
ecs.hfg5
Hw Virt
Status
active
Observed At
2026-09-12T12:11:11.309368

Availability

REGION / IDSPOTONDEMAND
Dubai (AE) / me-east-1
0.0259 USD/h 0.144 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
6149
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
22 MiB
CPU L3 Cache Total
22 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, tsc_deadline_timer, aes, xsave, avx, f16c, rdrand, hypervisor, lahf_lm, abm, 3dnowprefetch, pti, ibrs, ibpb, stibp, fsgsbase, tsc_adjust, bmi1, hle, avx2, smep, bmi2, erms, invpcid, rtm, mpx, avx512f, avx512dq, rdseed, adx, smap, avx512cd, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, arat
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-core virtual machine with balanced memory allocation for entry-level workloads requiring consistent CPU access.

      General Purpose

      Alibaba Cloud ecs.hfg5.large is a general-purpose instance featuring 2 dedicated vCPUs on an Intel Xeon 6149 processor running at 3.1 GHz, paired with 8.0 GB of RAM. Operating on the KVM hypervisor with an x86_64 architecture, this instance does not include local storage or integrated GPUs, and provides a baseline network bandwidth of 1 Gbps. Benchmark results place the instance's performance in the lower tiers, with stress-ng and Geekbench multi-core scores in the bottom 10%, and memory bandwidth for large blocks under 10 GB/sec. Given these performance characteristics, the ecs.hfg5.large represents a low-tier dedicated resource option. It is best suited for lightweight workloads such as basic web serving, simple text processing, and low-intensity database operations where dedicated CPU allocation is required but high computational throughput is not critical.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.124Score
      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) 143,144 ops/sec 1,917,397 ops/sec 0.0747 50.00% 50.00% -72.70%
      Redis RPS (pipeline=16, SET) 1,004,578 ops/sec 11,681,410 ops/sec 0.086 20.00% 20.00% -38.80%
      PassMark Memory Mark (composite) 1,037 2,418 0.429 10.00% 10.00% -8.11%
      Memory bandwidth (read, 16 MB ~ L3) 15,506 MB/sec 108,140 MB/sec 0.143 10.00% 10.00% -17.70%
      PassMark single-thread CPU 1,976 Mops/s 2,365 Mops/s 0.836 10.00% 10.00% -1.78%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,076

      Geekbench Multi-Core

      Score: 1,279

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 2188
      Compression
      		 27683
      Encryption
      		 827
      Extended Instructions
      		 1520
      Floating Point Maths
      		 3212
      Integer Maths
      		 5967
      Physics
      		 262
      Prime Numbers
      		 15
      Single Threaded
      		 1976
      String Sorting
      		 3688

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1037
      Database Operations
      		 609
      Memory Latency
      		 78
      Memory Read Cached
      		 23249
      Memory Read Uncached
      		 6712
      Memory Write
      		 7243

      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.hfg5.xlarge 416 GiB0
      ecs.hfg5.2xlarge 832 GiB0
      ecs.hfg5.3xlarge 1248 GiB0

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      ecs.hfg5.large FAQs