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ecs.hfc6.3xlarge by Alibaba Cloud

ecs.hfc6.3xlarge is a ecs.hfc6 family (12 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 12 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0563 USD per hour.
12 vCPU
24 GiB Memory
Spare SCore
11492
(All-cores)
1437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.3xlarge
Description
ecs.hfc6 family (12 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-26T06:07:00.346638

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0711 USD/h 0.3744 USD/h
Chengdu (CN) / cn-chengdu
0.0563 USD/h 0.3753 USD/h
Guangzhou (CN) / cn-guangzhou
0.0582 USD/h 0.416 USD/h
Heyuan (CN) / cn-heyuan
0.0728 USD/h 0.416 USD/h
Shanghai (CN) / cn-shanghai
0.0666 USD/h 0.416 USD/h
Shenzhen (CN) / cn-shenzhen
0.0666 USD/h 0.416 USD/h
Beijing (CN) / cn-beijing
- 0.416 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.416 USD/h
Silicon Valley (US) / us-west-1
0.08875 USD/h 0.522 USD/h
Virginia (US) / us-east-1
0.0992 USD/h 0.522 USD/h
Frankfurt (DE) / eu-central-1
- 0.594 USD/h
Singapore (SG) / ap-southeast-1
0.138 USD/h 0.6 USD/h
Jakarta (ID) / ap-southeast-5
- 0.6 USD/h
London (GB) / eu-west-1
0.0927 USD/h 0.618 USD/h
Tokyo (JP) / ap-northeast-1
0.099 USD/h 0.66 USD/h
Hong Kong (HK) / cn-hongkong
- 0.666 USD/h
Riyadh (SA) / me-central-1
- 0.72 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
24 GiB
Memory Amount Actual
24 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 compute-optimized instance featuring twelve dedicated Intel Xeon cores and a balanced resource profile for web serving and compilation.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.3xlarge is an x86_64 compute-optimized instance featuring 12 dedicated Intel Xeon 8269CY physical cores running at 3.1 GHz, paired with 24.0 GB of RAM. Operating on the KVM hypervisor, this server does not include local storage or GPU accelerators, and delivers a baseline network bandwidth of 4 Gbps. Benchmark data places the instance in the average tier, with a Geekbench multi-core score of 6420.0 and a static web serving throughput of 10.1 GB/sec. It processes 11.24 million Redis SET operations per second but exhibits weak performance during medium-model LLM prompt processing. This hardware profile is suited for compute-intensive tasks such as software compilation, web serving, and database operations where a 1:2 vCPU-to-RAM ratio is sufficient.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.688Score
      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) 1,189,586 ops/sec 1,896,415 ops/sec 0.627 50.00% 50.00% -20.80%
      Redis RPS (pipeline=16, SET) 7,210,365 ops/sec 11,539,523 ops/sec 0.625 20.00% 20.00% -8.97%
      PassMark Memory Mark (composite) 2,369 2,411 0.983 10.00% 10.00% -0.17%
      Memory bandwidth (read, 16 MB ~ L3) 75,080 MB/sec 107,368 MB/sec 0.699 10.00% 10.00% -3.52%
      PassMark single-thread CPU 2,153 Mops/s 2,363 Mops/s 0.911 10.00% 10.00% -0.93%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,281

      Geekbench Multi-Core

      Score: 6,420

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 13054
      Compression
      		 177394
      Encryption
      		 5320
      Extended Instructions
      		 10662
      Floating Point Maths
      		 20623
      Integer Maths
      		 38457
      Physics
      		 1328
      Prime Numbers
      		 82
      Single Threaded
      		 2153
      String Sorting
      		 23781

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2369
      Database Operations
      		 4431
      Memory Latency
      		 52
      Memory Read Cached
      		 24597
      Memory Read Uncached
      		 10283
      Memory Write
      		 9966

      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.hfc6.4xlarge 1632 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.3xlarge FAQs