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ecs.hfc6.6xlarge by Alibaba Cloud

ecs.hfc6.6xlarge is a ecs.hfc6 family (24 vCPUs, 48 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 48 GiB of memory and 0 GB of storage. The pricing starts at 0.1201 USD per hour.
24 vCPU
48 GiB Memory
Spare SCore
23004
(All-cores)
1437
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfc6.6xlarge
Description
ecs.hfc6 family (24 vCPUs, 48 GiB RAM, 0 GB storage)
Family
ecs.hfc6
Hw Virt
Status
active
Observed At
2026-07-25T22:25:02.964518

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.7487 USD/h
Chengdu (CN) / cn-chengdu
0.1201 USD/h 0.7507 USD/h
Guangzhou (CN) / cn-guangzhou
0.1331 USD/h 0.8319 USD/h
Beijing (CN) / cn-beijing
- 0.8319 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.8319 USD/h
Shanghai (CN) / cn-shanghai
- 0.8319 USD/h
Shenzhen (CN) / cn-shenzhen
- 0.8319 USD/h
Heyuan (CN) / cn-heyuan
0.1331 USD/h 0.832 USD/h
Silicon Valley (US) / us-west-1
0.1984 USD/h 1.044 USD/h
Virginia (US) / us-east-1
0.2401 USD/h 1.044 USD/h
Frankfurt (DE) / eu-central-1
- 1.188 USD/h
Jakarta (ID) / ap-southeast-5
0.18 USD/h 1.2 USD/h
Singapore (SG) / ap-southeast-1
- 1.2 USD/h
London (GB) / eu-west-1
0.2348 USD/h 1.236 USD/h
Tokyo (JP) / ap-northeast-1
0.2508 USD/h 1.32 USD/h
Hong Kong (HK) / cn-hongkong
0.2531 USD/h 1.332 USD/h
Riyadh (SA) / me-central-1
- 1.44 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
48 GiB
Memory Amount Actual
48 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 dedicated compute-optimized virtual server featuring high-frequency Intel Xeon processors and balanced memory for intensive CPU-bound workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.hfc6.6xlarge is a compute-optimized virtual server instance featuring 24 dedicated vCPUs and 24 physical cores on an Intel Xeon 8269CY processor running at 3.1 GHz. Built on the x86_64 architecture and KVM hypervisor, it provides 48.0 GB of RAM, a baseline network bandwidth of 8 Gbps, and no local storage. Benchmark results show a stress-ng multi-core CPU score of 23003.67 and a Redis SET throughput of 21.93 million operations per second. The instance is highly cost-efficient for compute-heavy workloads due to its dedicated CPU allocation and high clock speed, though the 2.0 GB per core memory ratio and lack of local storage present tradeoffs for memory-intensive or storage-heavy tasks. It is well-suited for software compilation, web serving, and moderate database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.15Score
      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) 2,351,830 ops/sec 1,896,415 ops/sec 1.24 50.00% 50.00% +11.40%
      Redis RPS (pipeline=16, SET) 13,608,486 ops/sec 11,539,523 ops/sec 1.18 20.00% 20.00% +3.37%
      PassMark Memory Mark (composite) 2,593 2,411 1.08 10.00% 10.00% +0.77%
      Memory bandwidth (read, 16 MB ~ L3) 110,106 MB/sec 107,368 MB/sec 1.03 10.00% 10.00% +0.30%
      PassMark single-thread CPU 2,159 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: 9,628

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23411
      Compression
      		 352233
      Encryption
      		 10637
      Extended Instructions
      		 21481
      Floating Point Maths
      		 41280
      Integer Maths
      		 76975
      Physics
      		 1878
      Prime Numbers
      		 118
      Single Threaded
      		 2159
      String Sorting
      		 46286

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2593
      Database Operations
      		 8594
      Memory Latency
      		 52
      Memory Read Cached
      		 24762
      Memory Read Uncached
      		 10331
      Memory Write
      		 9981

      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.hfc6.8xlarge 3264 GiB0
      ecs.hfc6.10xlarge 4096 GiB0

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      ecs.hfc6.6xlarge FAQs