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ecs.hfr6.2xlarge by Alibaba Cloud

ecs.hfr6.2xlarge is a ecs.hfr6 family (8 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 8 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.0536 USD per hour.
8 vCPU
64 GiB Memory
Spare SCore
7662
(All-cores)
1437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfr6.2xlarge
Description
ecs.hfr6 family (8 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfr6
Hw Virt
Status
active
Observed At
2026-07-26T00:47:34.412508

Availability

REGION / IDSPOTONDEMAND
Chengdu (CN) / cn-chengdu
- 0.4063 USD/h
Ulanqab (CN) / cn-wulanchabu
- 0.4063 USD/h
Heyuan (CN) / cn-heyuan
- 0.451 USD/h
Guangzhou (CN) / cn-guangzhou
0.0677 USD/h 0.4514 USD/h
Hangzhou (CN) / cn-hangzhou
0.1038 USD/h 0.4514 USD/h
Beijing (CN) / cn-beijing
- 0.4514 USD/h
Shanghai (CN) / cn-shanghai
- 0.4514 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.4514 USD/h
Virginia (US) / us-east-1
0.0536 USD/h 0.536 USD/h
Silicon Valley (US) / us-west-1
0.0536 USD/h 0.536 USD/h
Kuala Lumpur (MY) / ap-southeast-3
0.117 USD/h 0.6156 USD/h
London (GB) / eu-west-1
0.13275 USD/h 0.632 USD/h
Tokyo (JP) / ap-northeast-1
0.1134 USD/h 0.648 USD/h
Jakarta (ID) / ap-southeast-5
0.1037 USD/h 0.648 USD/h
Singapore (SG) / ap-southeast-1
0.149 USD/h 0.648 USD/h
Frankfurt (DE) / eu-central-1
- 0.648 USD/h
Hong Kong (HK) / cn-hongkong
0.1246 USD/h 0.712 USD/h
Riyadh (SA) / me-central-1
- 0.7776 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
64 GiB
Memory Amount Actual
64 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 memory-optimized virtual server featuring dedicated Intel Xeon processors and a high memory-to-core ratio for caching and database workloads.

      Memory OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfr6.2xlarge is a memory-optimized virtual server featuring 8 dedicated physical cores on an Intel Xeon 8269CY processor running at 3.1 GHz. Equipped with 64.0 GB of RAM, this instance provides a generous 8.0 GB of memory per core, though it lacks local storage and GPU accelerators. It operates on a 2 Gbps baseline network. The processor supports AVX-512 and AVX512_VNNI vector extensions, which assist in cryptographic and integer operations. Benchmark results indicate average performance across standard compute, memory bandwidth, and database operations, including 7.55 million Redis SET operations per second. However, performance is weak for larger language model inference, and the lack of local storage requires network-attached volumes. This instance is best suited for memory-intensive workloads such as caching layers, in-memory databases, and enterprise applications that do not require local disk storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.504Score
      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) 796,049 ops/sec 1,896,415 ops/sec 0.42 50.00% 50.00% -35.20%
      Redis RPS (pipeline=16, SET) 4,828,012 ops/sec 11,539,523 ops/sec 0.418 20.00% 20.00% -16.00%
      PassMark Memory Mark (composite) 2,414 2,411 1 10.00% 10.00% 0.00%
      Memory bandwidth (read, 16 MB ~ L3) 53,906 MB/sec 107,368 MB/sec 0.502 10.00% 10.00% -6.66%
      PassMark single-thread CPU 2,160 Mops/s 2,363 Mops/s 0.914 10.00% 10.00% -0.90%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,273

      Geekbench Multi-Core

      Score: 4,867

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 9028
      Compression
      		 118872
      Encryption
      		 3545
      Extended Instructions
      		 7033
      Floating Point Maths
      		 13747
      Integer Maths
      		 25608
      Physics
      		 1008
      Prime Numbers
      		 62
      Single Threaded
      		 2160
      String Sorting
      		 15931

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2414
      Database Operations
      		 3011
      Memory Latency
      		 54
      Memory Read Cached
      		 24762
      Memory Read Uncached
      		 10309
      Memory Write
      		 10006

      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.hfr6.3xlarge 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.hfr6.2xlarge FAQs