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ecs.hfr6.4xlarge by Alibaba Cloud

ecs.hfr6.4xlarge is a ecs.hfr6 family (16 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.1072 USD per hour.
16 vCPU
128 GiB Memory
Spare SCore
15327
(All-cores)
1436
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.4xlarge
Description
ecs.hfr6 family (16 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-07-25T09:27:31.374243

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.1544 USD/h 0.8126 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.8126 USD/h
Shenzhen (CN) / cn-shenzhen
0.1715 USD/h 0.9029 USD/h
Beijing (CN) / cn-beijing
- 0.9029 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.9029 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.9029 USD/h
Shanghai (CN) / cn-shanghai
- 0.9029 USD/h
Heyuan (CN) / cn-heyuan
0.1716 USD/h 0.903 USD/h
Virginia (US) / us-east-1
0.1072 USD/h 1.072 USD/h
Silicon Valley (US) / us-west-1
0.2037 USD/h 1.072 USD/h
London (GB) / eu-west-1
- 1.264 USD/h
Tokyo (JP) / ap-northeast-1
0.2462 USD/h 1.296 USD/h
Jakarta (ID) / ap-southeast-5
0.2462 USD/h 1.296 USD/h
Frankfurt (DE) / eu-central-1
0.2462 USD/h 1.296 USD/h
Singapore (SG) / ap-southeast-1
- 1.296 USD/h
Hong Kong (HK) / cn-hongkong
0.29905 USD/h 1.424 USD/h
Riyadh (SA) / me-central-1
- 1.5552 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
128 GiB
Memory Amount Actual
128 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 memory-optimized virtual server with dedicated Intel Xeon processors and high memory density for database and caching workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.4xlarge is a memory-optimized virtual server instance utilizing the KVM hypervisor. It is configured with 16 dedicated vCPUs on an Intel Xeon 8269CY processor running at 3.1 GHz, paired with 128.0 GB of RAM. This configuration yields a high memory-to-vCPU ratio of 8.0 GB per core. The instance does not include local storage and operates with a baseline network bandwidth of 5 Gbps. Performance benchmarks indicate average capabilities, with a stress-ng multi-core score of 15326.6 and a Redis SET throughput of 14.91 million operations per second. However, it exhibits weaker performance on larger workloads, such as 7B LLM prompt processing. This instance is best suited for memory-intensive applications, database operations, and caching systems that require dedicated compute resources but do not depend on local NVMe storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.865Score
      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) 1,582,662 ops/sec 1,896,415 ops/sec 0.835 50.00% 50.00% -8.62%
      Redis RPS (pipeline=16, SET) 9,385,671 ops/sec 11,539,523 ops/sec 0.813 20.00% 20.00% -4.06%
      PassMark Memory Mark (composite) 2,583 2,411 1.07 10.00% 10.00% +0.68%
      Memory bandwidth (read, 16 MB ~ L3) 95,547 MB/sec 107,368 MB/sec 0.89 10.00% 10.00% -1.16%
      PassMark single-thread CPU 2,158 Mops/s 2,363 Mops/s 0.913 10.00% 10.00% -0.91%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,287

      Geekbench Multi-Core

      Score: 7,935

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 16780
      Compression
      		 235495
      Encryption
      		 7092
      Extended Instructions
      		 14294
      Floating Point Maths
      		 27500
      Integer Maths
      		 51282
      Physics
      		 1650
      Prime Numbers
      		 96
      Single Threaded
      		 2158
      String Sorting
      		 31062

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2583
      Database Operations
      		 5956
      Memory Latency
      		 52
      Memory Read Cached
      		 24616
      Memory Read Uncached
      		 10039
      Memory Write
      		 9863

      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.large 216 GiB0
      ecs.hfr6.xlarge 432 GiB0
      ecs.hfr6.2xlarge 864 GiB0
      ecs.hfr6.3xlarge 1296 GiB0
      ecs.hfr6.6xlarge 24192 GiB0
      ecs.hfr6.8xlarge 32256 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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      ecs.hfr6.4xlarge FAQs