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ecs.hfc6.8xlarge by Alibaba Cloud

ecs.hfc6.8xlarge is a ecs.hfc6 family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.1601 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
30632
(All-cores)
1435
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.8xlarge
Description
ecs.hfc6 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-26T03:27:22.007574

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
0.2296 USD/h 0.9983 USD/h
Chengdu (CN) / cn-chengdu
0.1601 USD/h 1.0009 USD/h
Heyuan (CN) / cn-heyuan
0.2107 USD/h 1.109 USD/h
Guangzhou (CN) / cn-guangzhou
0.1775 USD/h 1.1092 USD/h
Shenzhen (CN) / cn-shenzhen
0.1775 USD/h 1.1092 USD/h
Beijing (CN) / cn-beijing
- 1.1092 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.1092 USD/h
Shanghai (CN) / cn-shanghai
- 1.1092 USD/h
Silicon Valley (US) / us-west-1
0.2645 USD/h 1.392 USD/h
Virginia (US) / us-east-1
0.3202 USD/h 1.392 USD/h
Frankfurt (DE) / eu-central-1
0.2376 USD/h 1.584 USD/h
Jakarta (ID) / ap-southeast-5
0.304 USD/h 1.6 USD/h
Singapore (SG) / ap-southeast-1
- 1.6 USD/h
London (GB) / eu-west-1
0.3131 USD/h 1.648 USD/h
Tokyo (JP) / ap-northeast-1
0.352 USD/h 1.76 USD/h
Hong Kong (HK) / cn-hongkong
0.3374 USD/h 1.776 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
16 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
21.3
Scalability
66.56

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

      CPU and System Topology

      Server Description

      A compute-optimized x86_64 platform featuring thirty-two dedicated Intel Xeon cores and a balanced memory-to-CPU ratio for compute-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.8xlarge is a compute-optimized instance featuring 32 dedicated physical cores powered by an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the x86_64 architecture, it provides 64.0 GB of system memory, establishing a 2.0 GB per core ratio. The instance lacks local storage and GPU accelerators, utilizing KVM virtualization and a 10 Gbps baseline network bandwidth. Performance benchmarks show a multi-core stress-ng score of 30631.79 and a Passmark CPU score of 29137.73. It delivers 29.05 million operations per second in Redis SET tests and processes 7B LLM text generation at 12.14 tokens per second. This hardware profile makes the instance cost-efficient for CPU-heavy, memory-light workloads. It is suited for software compilation, multi-threaded decompression, and static web serving.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.4Score
      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) 3,113,092 ops/sec 1,896,415 ops/sec 1.64 50.00% 50.00% +28.10%
      Redis RPS (pipeline=16, SET) 17,691,620 ops/sec 11,539,523 ops/sec 1.53 20.00% 20.00% +8.88%
      PassMark Memory Mark (composite) 2,634 2,411 1.09 10.00% 10.00% +0.87%
      Memory bandwidth (read, 16 MB ~ L3) 112,297 MB/sec 107,368 MB/sec 1.05 10.00% 10.00% +0.49%
      PassMark single-thread CPU 2,154 Mops/s 2,363 Mops/s 0.912 10.00% 10.00% -0.92%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,279

      Geekbench Multi-Core

      Score: 10,887

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 29138
      Compression
      		 468169
      Encryption
      		 14153
      Extended Instructions
      		 28628
      Floating Point Maths
      		 54927
      Integer Maths
      		 102356
      Physics
      		 2075
      Prime Numbers
      		 131
      Single Threaded
      		 2154
      String Sorting
      		 60894

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2634
      Database Operations
      		 11255
      Memory Latency
      		 52
      Memory Read Cached
      		 24569
      Memory Read Uncached
      		 10403
      Memory Write
      		 9997

      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.hfc6.2xlarge 816 GiB0
      ecs.hfc6.3xlarge 1224 GiB0
      ecs.hfc6.4xlarge 1632 GiB0
      ecs.hfc6.6xlarge 2448 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.8xlarge FAQs