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ecs.hfr6.6xlarge by Alibaba Cloud

ecs.hfr6.6xlarge is a ecs.hfr6 family (24 vCPUs, 192 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 192 GiB of memory and 0 GB of storage. The pricing starts at 0.2316 USD per hour.
24 vCPU
192 GiB Memory
Spare SCore
22990
(All-cores)
1437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.6xlarge
Description
ecs.hfr6 family (24 vCPUs, 192 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-07-25T22:25:02.964948

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
0.2316 USD/h 1.2189 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.2189 USD/h
Heyuan (CN) / cn-heyuan
- 1.354 USD/h
Guangzhou (CN) / cn-guangzhou
0.2573 USD/h 1.3543 USD/h
Shanghai (CN) / cn-shanghai
0.2573 USD/h 1.3543 USD/h
Beijing (CN) / cn-beijing
- 1.3543 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.3543 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.3543 USD/h
Silicon Valley (US) / us-west-1
0.3055 USD/h 1.608 USD/h
London (GB) / eu-west-1
0.3602 USD/h 1.896 USD/h
Tokyo (JP) / ap-northeast-1
0.3694 USD/h 1.944 USD/h
Jakarta (ID) / ap-southeast-5
0.3694 USD/h 1.944 USD/h
Frankfurt (DE) / eu-central-1
0.3694 USD/h 1.944 USD/h
Singapore (SG) / ap-southeast-1
- 1.944 USD/h
Hong Kong (HK) / cn-hongkong
0.4058 USD/h 2.136 USD/h
Riyadh (SA) / me-central-1
- 2.3328 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
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
384 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
384 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
12 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
16
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
192 GiB
Memory Amount Actual
192 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
      7.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A memory-optimized virtual server featuring dedicated Intel Xeon processors and high memory density for memory-bound enterprise applications.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.6xlarge is a memory-optimized instance featuring 24 dedicated physical cores powered by an Intel Xeon 8269CY processor running at 3.1 GHz on the x86_64 architecture. Equipped with 192.0 GB of RAM, the instance provides a high memory-to-vCPU ratio of 8.0 GB per core, making it highly efficient for memory-intensive applications. It operates on the KVM hypervisor with a baseline network bandwidth of 8 Gbps, though it lacks local storage and GPU accelerators. Benchmark results show stable mid-tier performance, with a multi-core stress-ng score of 22989.57 and Redis SET throughput reaching 22.01 million operations per second. This hardware profile is optimized for in-memory databases, caching layers, and enterprise workloads requiring substantial memory capacity without the need for high-speed local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.16Score
      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) 2,359,392 ops/sec 1,896,415 ops/sec 1.24 50.00% 50.00% +11.40%
      Redis RPS (pipeline=16, SET) 13,638,643 ops/sec 11,539,523 ops/sec 1.18 20.00% 20.00% +3.37%
      PassMark Memory Mark (composite) 2,626 2,411 1.09 10.00% 10.00% +0.87%
      Memory bandwidth (read, 16 MB ~ L3) 114,519 MB/sec 107,368 MB/sec 1.07 10.00% 10.00% +0.68%
      PassMark single-thread CPU 2,157 Mops/s 2,363 Mops/s 0.913 10.00% 10.00% -0.91%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,281

      Geekbench Multi-Core

      Score: 9,712

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23605
      Compression
      		 352037
      Encryption
      		 10629
      Extended Instructions
      		 21468
      Floating Point Maths
      		 41254
      Integer Maths
      		 76964
      Physics
      		 2210
      Prime Numbers
      		 121
      Single Threaded
      		 2157
      String Sorting
      		 46485

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2626
      Database Operations
      		 8786
      Memory Latency
      		 52
      Memory Read Cached
      		 24831
      Memory Read Uncached
      		 10061
      Memory Write
      		 9911

      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.hfr6.4xlarge 16128 GiB0
      ecs.hfr6.8xlarge 32256 GiB0
      ecs.hfr6.10xlarge 40384 GiB0

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      ecs.hfr6.6xlarge FAQs