ecs.hfr6.large by Alibaba Cloud

ecs.hfr6.large is a ecs.hfr6 family (2 vCPUs, 16 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 2 vCPUs, 16 GiB of memory and 0 GB of storage. The pricing starts at 0.0193 USD per hour.
2 vCPU
16 GiB Memory
Spare SCore
1,902
(All-cores)
1,427
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.large
Description
ecs.hfr6 family (2 vCPUs, 16 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-09-12T12:11:11.316949

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.0193 USD/h 0.1016 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.1016 USD/h
Guangzhou (CN) / cn-guangzhou
0.0214 USD/h 0.1129 USD/h
Shenzhen (CN) / cn-shenzhen
0.026 USD/h 0.1129 USD/h
Beijing (CN) / cn-beijing
- 0.1129 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.1129 USD/h
Shanghai (CN) / cn-shanghai
- 0.1129 USD/h
Heyuan (CN) / cn-heyuan
0.026 USD/h 0.113 USD/h
Virginia (US) / us-east-1
0.0214 USD/h 0.134 USD/h
Silicon Valley (US) / us-west-1
0.0295 USD/h 0.134 USD/h
London (GB) / eu-west-1
0.0316 USD/h 0.158 USD/h
Tokyo (JP) / ap-northeast-1
0.02915 USD/h 0.162 USD/h
Jakarta (ID) / ap-southeast-5
0.0324 USD/h 0.162 USD/h
Singapore (SG) / ap-southeast-1
0.0389 USD/h 0.162 USD/h
Frankfurt (DE) / eu-central-1
- 0.162 USD/h
Hong Kong (HK) / cn-hongkong
- 0.178 USD/h
Riyadh (SA) / me-central-1
0.07 USD/h 0.1944 USD/h

Processor

vCPUs
2
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
2
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
32 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
32 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
1 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
1.3
Scalability
65

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
      1 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual instance featuring dedicated Intel Xeon cores and a high memory-to-vCPU ratio for memory-bound workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.large is a memory-optimized instance featuring 2 dedicated physical cores on an Intel Xeon 8269CY x86_64 processor clocked at 3.1 GHz. It is equipped with 16.0 GB of RAM, providing a high 8.0 GB of memory per core, while lacking local storage and GPU accelerators. Operating on the KVM hypervisor, the instance delivers average single-core CPU performance but exhibits lower multi-core and memory bandwidth capabilities in benchmark testing. With a baseline network bandwidth of 1 Gbps, this instance is qualitatively cost-efficient for memory-sensitive workloads that do not demand extensive parallel processing. It is best suited for small-scale databases, in-memory caching, and lightweight enterprise applications requiring a high memory-to-vCPU ratio.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.161Score
      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) 189,635 ops/sec 1,917,397 ops/sec 0.0989 50.00% 50.00% -68.60%
      Redis RPS (pipeline=16, SET) 1,151,140 ops/sec 11,681,410 ops/sec 0.0985 20.00% 20.00% -37.10%
      PassMark Memory Mark (composite) 1,540 2,418 0.637 10.00% 10.00% -4.41%
      Memory bandwidth (read, 16 MB ~ L3) 24,716 MB/sec 108,140 MB/sec 0.229 10.00% 10.00% -13.70%
      PassMark single-thread CPU 2,066 Mops/s 2,365 Mops/s 0.874 10.00% 10.00% -1.34%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,242

      Geekbench Multi-Core

      Score: 1,487

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 2342
      Compression
      		 29317
      Encryption
      		 879
      Extended Instructions
      		 1664
      Floating Point Maths
      		 3405
      Integer Maths
      		 6366
      Physics
      		 300
      Prime Numbers
      		 16
      Single Threaded
      		 2066
      String Sorting
      		 4001

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1540
      Database Operations
      		 746
      Memory Latency
      		 55
      Memory Read Cached
      		 24192
      Memory Read Uncached
      		 11053
      Memory Write
      		 9872

      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.hfr6.xlarge 432 GiB0
      ecs.hfr6.2xlarge 864 GiB0
      ecs.hfr6.3xlarge 1296 GiB0
      ecs.hfr6.4xlarge 16128 GiB0
      ecs.hfr6.6xlarge 24192 GiB0
      ecs.hfr6.8xlarge 32256 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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      ecs.hfr6.large FAQs