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ecs.hfc6.2xlarge by Alibaba Cloud

ecs.hfc6.2xlarge is a ecs.hfc6 family (8 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0444 USD per hour.
8 vCPU
16 GiB Memory
Spare SCore
7646
(All-cores)
1435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.2xlarge
Description
ecs.hfc6 family (8 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-26T00:47:34.412339

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.0474 USD/h 0.2496 USD/h
Chengdu (CN) / cn-chengdu
0.0475 USD/h 0.2502 USD/h
Heyuan (CN) / cn-heyuan
- 0.277 USD/h
Guangzhou (CN) / cn-guangzhou
0.0444 USD/h 0.2773 USD/h
Shanghai (CN) / cn-shanghai
0.0527 USD/h 0.2773 USD/h
Beijing (CN) / cn-beijing
- 0.2773 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.2773 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.2773 USD/h
Silicon Valley (US) / us-west-1
0.07305 USD/h 0.348 USD/h
Virginia (US) / us-east-1
0.0748 USD/h 0.348 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.0722 USD/h 0.38 USD/h
Frankfurt (DE) / eu-central-1
- 0.396 USD/h
Jakarta (ID) / ap-southeast-5
0.07 USD/h 0.4 USD/h
Singapore (SG) / ap-southeast-1
- 0.4 USD/h
London (GB) / eu-west-1
0.0783 USD/h 0.412 USD/h
Tokyo (JP) / ap-northeast-1
0.0836 USD/h 0.44 USD/h
Hong Kong (HK) / cn-hongkong
0.0844 USD/h 0.444 USD/h
Riyadh (SA) / me-central-1
- 0.48 USD/h

Processor

vCPUs
8
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
8
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
128 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
128 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
4 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
5.3
Scalability
66.25

System Resources and Accelerators

MEMORY
Memory Amount
16 GiB
Memory Amount Actual
16 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
      2.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated eight-core compute-optimized instance delivering balanced processing power and moderate memory for standard web serving and compilation workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.2xlarge is a compute-optimized virtual server featuring 8 dedicated physical cores on an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the x86_64 architecture and KVM hypervisor, it delivers 16.0 GB of RAM, resulting in a 2.0 GB per core memory allocation. The instance lacks local storage and GPU accelerators, relying on a 2 Gbps baseline network bandwidth. Benchmark data places its performance in the average tier, with a Geekbench multi-core score of 4795.0 and a Redis SET throughput of 7.45 million operations per second. However, it exhibits weak performance on medium-sized LLM inference tasks. This instance is qualitatively cost-effective for compute-heavy applications with moderate memory requirements, making it suitable for software compilation, static web serving, and lightweight database workloads.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.484Score
      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) 777,832 ops/sec 1,896,415 ops/sec 0.41 50.00% 50.00% -36.00%
      Redis RPS (pipeline=16, SET) 4,547,784 ops/sec 11,539,523 ops/sec 0.394 20.00% 20.00% -17.00%
      PassMark Memory Mark (composite) 1,982 2,411 0.822 10.00% 10.00% -1.94%
      Memory bandwidth (read, 16 MB ~ L3) 56,314 MB/sec 107,368 MB/sec 0.525 10.00% 10.00% -6.24%
      PassMark single-thread CPU 2,146 Mops/s 2,363 Mops/s 0.908 10.00% 10.00% -0.96%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,244

      Geekbench Multi-Core

      Score: 4,795

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 8939
      Compression
      		 118475
      Encryption
      		 3538
      Extended Instructions
      		 7074
      Floating Point Maths
      		 13713
      Integer Maths
      		 25537
      Physics
      		 951
      Prime Numbers
      		 53
      Single Threaded
      		 2146
      String Sorting
      		 15721

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1982
      Database Operations
      		 2943
      Memory Latency
      		 56
      Memory Read Cached
      		 24756
      Memory Read Uncached
      		 9727
      Memory Write
      		 9679

      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.hfc6.3xlarge 1224 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.hfc6.2xlarge FAQs