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ecs.hfg6.4xlarge by Alibaba Cloud

ecs.hfg6.4xlarge is a ecs.hfg6 family (16 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0979 USD per hour.
16 vCPU
64 GiB Memory
Spare SCore
15351
(All-cores)
1439
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.4xlarge
Description
ecs.hfg6 family (16 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-07-25T14:37:56.242492

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.6129 USD/h
Chengdu (CN) / cn-chengdu
0.1166 USD/h 0.6139 USD/h
Beijing (CN) / cn-beijing
0.1566 USD/h 0.681 USD/h
Heyuan (CN) / cn-heyuan
0.1566 USD/h 0.681 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.681 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.681 USD/h
Shanghai (CN) / cn-shanghai
- 0.681 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.681 USD/h
Virginia (US) / us-east-1
0.0979 USD/h 0.816 USD/h
Silicon Valley (US) / us-west-1
0.0979 USD/h 0.816 USD/h
London (GB) / eu-west-1
0.2171 USD/h 0.944 USD/h
Frankfurt (DE) / eu-central-1
- 0.984 USD/h
Singapore (SG) / ap-southeast-1
0.2355 USD/h 1.024 USD/h
Jakarta (ID) / ap-southeast-5
0.2355 USD/h 1.024 USD/h
Tokyo (JP) / ap-northeast-1
0.2006 USD/h 1.056 USD/h
Hong Kong (HK) / cn-hongkong
- 1.128 USD/h
Riyadh (SA) / me-central-1
- 1.2288 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
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
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 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
10.7
Scalability
66.88

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated Intel-powered instance offering balanced compute and memory resources for general-purpose workloads, software compilation, and database operations.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.4xlarge is a general-purpose, KVM-hypervised server instance based on the x86_64 architecture. It is equipped with a dedicated Intel Xeon 8269CY processor offering 16 physical cores and 16 vCPUs at a clock speed of 3.1 GHz, alongside 64.0 GB of system memory. The instance lacks local storage and dedicated GPU accelerators, relying on a baseline network bandwidth of 5 Gbps. Benchmark results position the server in the average tier across most metrics, including a Geekbench multi-core score of 7869.0 and a PassMark CPU score of 16805.51. While it handles Redis SET operations at 15.39 million operations per second and static web serving at 12.4 GB/sec, it exhibits weak performance in medium-sized LLM inference tasks. This hardware configuration is best suited for software compilation, database workloads, and general-purpose web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.868Score
      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) 1,591,539 ops/sec 1,896,415 ops/sec 0.839 50.00% 50.00% -8.40%
      Redis RPS (pipeline=16, SET) 9,501,203 ops/sec 11,539,523 ops/sec 0.823 20.00% 20.00% -3.82%
      PassMark Memory Mark (composite) 2,580 2,411 1.07 10.00% 10.00% +0.68%
      Memory bandwidth (read, 16 MB ~ L3) 94,981 MB/sec 107,368 MB/sec 0.885 10.00% 10.00% -1.21%
      PassMark single-thread CPU 2,157 Mops/s 2,363 Mops/s 0.913 10.00% 10.00% -0.91%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,284

      Geekbench Multi-Core

      Score: 7,869

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16806
      Compression
      		 236427
      Encryption
      		 7104
      Extended Instructions
      		 14388
      Floating Point Maths
      		 27531
      Integer Maths
      		 51333
      Physics
      		 1659
      Prime Numbers
      		 95
      Single Threaded
      		 2157
      String Sorting
      		 31099

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2580
      Database Operations
      		 5932
      Memory Latency
      		 52
      Memory Read Cached
      		 24762
      Memory Read Uncached
      		 10281
      Memory Write
      		 10021

      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.hfg6.3xlarge 1248 GiB0
      ecs.hfg6.6xlarge 2496 GiB0
      ecs.hfg6.8xlarge 32128 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

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      ecs.hfg6.4xlarge FAQs