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ecs.hfc6.4xlarge by Alibaba Cloud

ecs.hfc6.4xlarge is a ecs.hfc6 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.0948 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
15316
(All-cores)
1435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.4xlarge
Description
ecs.hfc6 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-26T00:47:34.412272

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0948 USD/h 0.4992 USD/h
Chengdu (CN) / cn-chengdu
- 0.5004 USD/h
Shanghai (CN) / cn-shanghai
0.1054 USD/h 0.5546 USD/h
Beijing (CN) / cn-beijing
- 0.5546 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.5546 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.5546 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.5546 USD/h
Heyuan (CN) / cn-heyuan
- 0.555 USD/h
Virginia (US) / us-east-1
0.0974 USD/h 0.696 USD/h
Silicon Valley (US) / us-west-1
0.0974 USD/h 0.696 USD/h
Frankfurt (DE) / eu-central-1
- 0.792 USD/h
Jakarta (ID) / ap-southeast-5
0.152 USD/h 0.8 USD/h
Singapore (SG) / ap-southeast-1
0.184 USD/h 0.8 USD/h
London (GB) / eu-west-1
0.1566 USD/h 0.824 USD/h
Tokyo (JP) / ap-northeast-1
0.1672 USD/h 0.88 USD/h
Hong Kong (HK) / cn-hongkong
0.18645 USD/h 0.888 USD/h
Riyadh (SA) / me-central-1
- 0.96 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
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
      5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 16-core Intel Xeon compute-optimized instance with balanced memory bandwidth for web serving and database operations.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.4xlarge is a compute-optimized instance featuring 16 dedicated physical cores powered by an Intel Xeon 8269CY processor clocked at 3.1 GHz. Built on the x86_64 architecture and managed via KVM, it provides 32.0 GB of RAM (2.0 GB per core) and a baseline network bandwidth of 5 Gbps, with no local storage or GPU hardware. Benchmark results indicate average performance across standard compute and memory tasks, with a stress-ng multi-core score of 15316.01 and a Redis SET throughput of 15.25 million operations per second. The CPU supports AVX-512 and AVX-512 VNNI instructions, enhancing vector and cryptographic operations. This instance is qualitatively cost-efficient for compute-intensive workloads that require dedicated CPU allocation without high memory overhead, making it well-suited for web serving, database operations, and moderate data processing tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.861Score
      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) 1,588,111 ops/sec 1,896,415 ops/sec 0.837 50.00% 50.00% -8.51%
      Redis RPS (pipeline=16, SET) 9,409,945 ops/sec 11,539,523 ops/sec 0.815 20.00% 20.00% -4.01%
      PassMark Memory Mark (composite) 2,488 2,411 1.03 10.00% 10.00% +0.30%
      Memory bandwidth (read, 16 MB ~ L3) 92,780 MB/sec 107,368 MB/sec 0.864 10.00% 10.00% -1.45%
      PassMark single-thread CPU 2,154 Mops/s 2,363 Mops/s 0.911 10.00% 10.00% -0.93%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16739
      Compression
      		 235603
      Encryption
      		 7091
      Extended Instructions
      		 14241
      Floating Point Maths
      		 27472
      Integer Maths
      		 51202
      Physics
      		 1579
      Prime Numbers
      		 97
      Single Threaded
      		 2154
      String Sorting
      		 31060

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2488
      Database Operations
      		 5849
      Memory Latency
      		 52
      Memory Read Cached
      		 24531
      Memory Read Uncached
      		 10285
      Memory Write
      		 9901

      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.hfc6.large 24 GiB0
      ecs.hfc6.xlarge 48 GiB0
      ecs.hfc6.2xlarge 816 GiB0
      ecs.hfc6.3xlarge 1224 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.4xlarge FAQs