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ecs.hfg6.3xlarge by Alibaba Cloud

ecs.hfg6.3xlarge is a ecs.hfg6 family (12 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.0737 USD per hour.
12 vCPU
48 GiB Memory
Spare SCore
11512
(All-cores)
1439
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.3xlarge
Description
ecs.hfg6 family (12 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.242519

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.4597 USD/h
Chengdu (CN) / cn-chengdu
0.0806 USD/h 0.4605 USD/h
Guangzhou (CN) / cn-guangzhou
0.097 USD/h 0.5108 USD/h
Beijing (CN) / cn-beijing
- 0.5108 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5108 USD/h
Shanghai (CN) / cn-shanghai
- 0.5108 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5108 USD/h
Heyuan (CN) / cn-heyuan
0.08945 USD/h 0.511 USD/h
Virginia (US) / us-east-1
0.10405 USD/h 0.612 USD/h
Silicon Valley (US) / us-west-1
0.1163 USD/h 0.612 USD/h
London (GB) / eu-west-1
0.1345 USD/h 0.708 USD/h
Frankfurt (DE) / eu-central-1
- 0.738 USD/h
Singapore (SG) / ap-southeast-1
0.1459 USD/h 0.768 USD/h
Jakarta (ID) / ap-southeast-5
0.1766 USD/h 0.768 USD/h
Tokyo (JP) / ap-northeast-1
0.1822 USD/h 0.792 USD/h
Hong Kong (HK) / cn-hongkong
0.1607 USD/h 0.846 USD/h
Riyadh (SA) / me-central-1
- 0.9216 USD/h

Processor

vCPUs
12
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
12
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
192 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
192 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
6 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
8
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
48 GiB
Memory Amount Actual
48 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
      4 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated twelve-core Intel Xeon server with balanced memory and baseline network performance for stable general-purpose and database workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.3xlarge is an x86_64 server instance featuring 12 dedicated Intel Xeon 8269CY physical cores running at 3.1 GHz, paired with 48.0 GB of RAM. Operating on a KVM hypervisor, this instance provides a baseline network bandwidth of 4 Gbps and does not include local storage or GPU hardware. Benchmark data indicates average multi-core CPU performance with a stress-ng score of 11511.8 and a Passmark database score of 4512.85. The instance demonstrates solid capabilities in standard tasks, achieving 11.25 million operations per second in Redis SET tests and 10.16 GB/sec in static web serving. However, it exhibits limited performance on larger AI workloads, processing medium 7B LLM prompts at 17.47 tokens per second. This server is best suited for general-purpose workloads, software compilation, web serving, and database operations requiring dedicated CPU resources.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.697Score
      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) 1,202,107 ops/sec 1,896,415 ops/sec 0.634 50.00% 50.00% -20.40%
      Redis RPS (pipeline=16, SET) 7,232,460 ops/sec 11,539,523 ops/sec 0.627 20.00% 20.00% -8.91%
      PassMark Memory Mark (composite) 2,535 2,411 1.05 10.00% 10.00% +0.49%
      Memory bandwidth (read, 16 MB ~ L3) 75,524 MB/sec 107,368 MB/sec 0.703 10.00% 10.00% -3.46%
      PassMark single-thread CPU 2,166 Mops/s 2,363 Mops/s 0.916 10.00% 10.00% -0.87%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,290

      Geekbench Multi-Core

      Score: 6,470

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      13063
      Compression
      177515
      Encryption
      5329
      Extended Instructions
      10618
      Floating Point Maths
      20650
      Integer Maths
      38506
      Physics
      1355
      Prime Numbers
      83
      Single Threaded
      2166
      String Sorting
      23519

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      2535
      Database Operations
      4513
      Memory Latency
      52
      Memory Read Cached
      24930
      Memory Read Uncached
      10377
      Memory Write
      10119

      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.hfg6.2xlarge 832 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.hfg6.3xlarge FAQs