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ecs.hfc6.10xlarge by Alibaba Cloud

ecs.hfc6.10xlarge is a ecs.hfc6 family (40 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 40 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.2002 USD per hour.
40 vCPU
96 GiB Memory
Spare SCore
38382
(All-cores)
1439
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.10xlarge
Description
ecs.hfc6 family (40 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-25T19:47:22.741761

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.2479 USD/h
Chengdu (CN) / cn-chengdu
0.2002 USD/h 1.2511 USD/h
Guangzhou (CN) / cn-guangzhou
0.2218 USD/h 1.3865 USD/h
Shenzhen (CN) / cn-shenzhen
0.2634 USD/h 1.3865 USD/h
Hangzhou (CN) / cn-hangzhou
0.3189 USD/h 1.3865 USD/h
Beijing (CN) / cn-beijing
- 1.3865 USD/h
Shanghai (CN) / cn-shanghai
- 1.3865 USD/h
Heyuan (CN) / cn-heyuan
- 1.3867 USD/h
Silicon Valley (US) / us-west-1
0.3306 USD/h 1.74 USD/h
Frankfurt (DE) / eu-central-1
0.4554 USD/h 1.98 USD/h
Jakarta (ID) / ap-southeast-5
0.3 USD/h 2 USD/h
Singapore (SG) / ap-southeast-1
- 2 USD/h
London (GB) / eu-west-1
0.3502 USD/h 2.06 USD/h
Tokyo (JP) / ap-northeast-1
0.418 USD/h 2.2 USD/h
Hong Kong (HK) / cn-hongkong
0.4218 USD/h 2.22 USD/h

Processor

vCPUs
40
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
40
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
640 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
640 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
20 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
26.7
Scalability
66.75

System Resources and Accelerators

MEMORY
Memory Amount
96 GiB
Memory Amount Actual
96 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
      12.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated forty-core compute-optimized platform designed for high-frequency processing, multi-threaded workloads, and high-throughput web serving.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.10xlarge is a compute-optimized instance featuring 40 dedicated physical cores powered by an Intel Xeon 8269CY processor clocked at 3.1 GHz. Utilizing the x86_64 architecture under a KVM hypervisor, it provides 96.0 GB of RAM, translating to 2.4 GB per core. The instance lacks local storage and GPUs, relying on external storage solutions and offering a baseline network bandwidth of 12 Gbps. Performance benchmarks indicate solid compute capabilities, with a stress-ng multi-core score of 38381.56 and a Redis SET throughput of 34.66 million operations per second. This hardware configuration is designed for CPU-intensive workloads such as software compilation, static web serving, and multi-threaded data processing where high-frequency dedicated cores are prioritized over large memory footprints or local storage.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.59Score
      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) 3,723,853 ops/sec 1,896,415 ops/sec 1.96 50.00% 50.00% +40.00%
      Redis RPS (pipeline=16, SET) 20,921,000 ops/sec 11,539,523 ops/sec 1.81 20.00% 20.00% +12.60%
      PassMark Memory Mark (composite) 2,643 2,411 1.1 10.00% 10.00% +0.96%
      Memory bandwidth (read, 16 MB ~ L3) 111,652 MB/sec 107,368 MB/sec 1.04 10.00% 10.00% +0.39%
      PassMark single-thread CPU 2,166 Mops/s 2,363 Mops/s 0.916 10.00% 10.00% -0.87%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,284

      Geekbench Multi-Core

      Score: 11,735

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 34145
      Compression
      		 586715
      Encryption
      		 17671
      Extended Instructions
      		 35312
      Floating Point Maths
      		 68846
      Integer Maths
      		 128431
      Physics
      		 2138
      Prime Numbers
      		 142
      Single Threaded
      		 2166
      String Sorting
      		 73972

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2643
      Database Operations
      		 13891
      Memory Latency
      		 52
      Memory Read Cached
      		 24568
      Memory Read Uncached
      		 10270
      Memory Write
      		 9944

      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.hfc6.8xlarge 3264 GiB0

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      ecs.hfc6.10xlarge FAQs