logo

ecs.hfg6.6xlarge by Alibaba Cloud

ecs.hfg6.6xlarge is a ecs.hfg6 family (24 vCPUs, 96 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 96 GiB of memory and 0 GB of storage. The pricing starts at 0.1381 USD per hour.
24 vCPU
96 GiB Memory
Spare SCore
23015
(All-cores)
1438
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.hfg6.6xlarge
Description
ecs.hfg6 family (24 vCPUs, 96 GiB RAM, 0 GB storage)
Family
ecs.hfg6
Hw Virt
Status
active
Observed At
2026-08-09T16:06:40.678304

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.9194 USD/h
Chengdu (CN) / cn-chengdu
0.1381 USD/h 0.9209 USD/h
Guangzhou (CN) / cn-guangzhou
0.1634 USD/h 1.0215 USD/h
Beijing (CN) / cn-beijing
0.1941 USD/h 1.0215 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.0215 USD/h
Shanghai (CN) / cn-shanghai
- 1.0215 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.0215 USD/h
Heyuan (CN) / cn-heyuan
- 1.022 USD/h
Virginia (US) / us-east-1
0.2326 USD/h 1.224 USD/h
Silicon Valley (US) / us-west-1
0.26315 USD/h 1.224 USD/h
London (GB) / eu-west-1
0.269 USD/h 1.416 USD/h
Frankfurt (DE) / eu-central-1
- 1.476 USD/h
Jakarta (ID) / ap-southeast-5
0.2918 USD/h 1.536 USD/h
Singapore (SG) / ap-southeast-1
- 1.536 USD/h
Tokyo (JP) / ap-northeast-1
0.301 USD/h 1.584 USD/h
Hong Kong (HK) / cn-hongkong
0.3215 USD/h 1.692 USD/h
Riyadh (SA) / me-central-1
- 1.8432 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
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
      7.5 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated Intel-powered instance offering balanced compute and memory resources for predictable general-purpose and database workloads.

      General PurposeCompute Optimized

      Alibaba Cloud ecs.hfg6.6xlarge is an x86_64 general-purpose server instance configured with 24 dedicated Intel Xeon 8269CY vCPUs running at 3.1 GHz and 96.0 GB of RAM. Lacking local storage and GPU accelerators, it relies on network-attached storage and provides an 8 Gbps baseline network bandwidth. Performance benchmarks place the instance in the average tier, with a Passmark CPU score of 23637.6 and a multi-core stress-ng score of 23015.19. It demonstrates solid utility for database operations, achieving 8647.45 operations in Passmark database tests, and handles Redis SET operations at 22.14 million operations per second. With its dedicated core allocation and 1:4 vCPU-to-RAM ratio, the ecs.hfg6.6xlarge is well-suited for general-purpose applications, web serving, software compilation, and medium-scale database workloads.

      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) 2,374,595 ops/sec 1,910,660 ops/sec 1.24 50.00% 50.00% +11.40%
      Redis RPS (pipeline=16, SET) 13,756,988 ops/sec 11,608,287 ops/sec 1.19 20.00% 20.00% +3.54%
      PassMark Memory Mark (composite) 2,623 2,416 1.09 10.00% 10.00% +0.87%
      Memory bandwidth (read, 16 MB ~ L3) 115,865 MB/sec 107,896 MB/sec 1.07 10.00% 10.00% +0.68%
      PassMark single-thread CPU 2,156 Mops/s 2,364 Mops/s 0.912 10.00% 10.00% -0.92%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,287

      Geekbench Multi-Core

      Score: 9,875

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 23638
      Compression
      		 353589
      Encryption
      		 10664
      Extended Instructions
      		 21685
      Floating Point Maths
      		 41301
      Integer Maths
      		 76929
      Physics
      		 2138
      Prime Numbers
      		 121
      Single Threaded
      		 2156
      String Sorting
      		 46706

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2623
      Database Operations
      		 8647
      Memory Latency
      		 52
      Memory Read Cached
      		 24550
      Memory Read Uncached
      		 10191
      Memory Write
      		 9946

      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.hfg6.large 28 GiB0
      ecs.hfg6.xlarge 416 GiB0
      ecs.hfg6.2xlarge 832 GiB0
      ecs.hfg6.3xlarge 1248 GiB0
      ecs.hfg6.4xlarge 1664 GiB0
      ecs.hfg6.8xlarge 32128 GiB0
      ecs.hfg6.10xlarge 40192 GiB0

      Similar Servers

      INSTANCEVENDORvCPUsMEMORYGPUs

      ecs.hfg6.6xlarge FAQs