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ecs.ic5.6xlarge by Alibaba Cloud

ecs.ic5.6xlarge is a ecs.ic5 family (24 vCPUs, 24 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 24 vCPUs, 24 GiB of memory and 0 GB of storage. The pricing starts at 0.0999 USD per hour.
24 vCPU
24 GiB Memory
Spare SCore
17725
(All-cores)
1108
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.ic5.6xlarge
Description
ecs.ic5 family (24 vCPUs, 24 GiB RAM, 0 GB storage)
Family
ecs.ic5
Hw Virt
Status
active
Observed At
2026-07-25T22:25:02.959910

Availability

REGION / IDSPOTONDEMAND
Frankfurt (DE) / eu-central-1
- 0.92 USD/h
Ulanqab (CN) / cn-wulanchabu
0.1998 USD/h 0.999 USD/h
Jakarta (ID) / ap-southeast-5
- 1.008 USD/h
Beijing (CN) / cn-beijing
0.0999 USD/h 1.11 USD/h
Qingdao (CN) / cn-qingdao
0.222 USD/h 1.11 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.11 USD/h
Shanghai (CN) / cn-shanghai
- 1.11 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.11 USD/h

Processor

vCPUs
24
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
24
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8163
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, 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, arat, avx512_vnni
Ecpus
16
Scalability
66.67

System Resources and Accelerators

MEMORY
Memory Amount
24 GiB
Memory Amount Actual
24 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 24-core compute instance designed for parallelized workloads requiring high CPU density with a minimal memory footprint.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.ic5.6xlarge is an x86_64 compute-focused server instance powered by an Intel Xeon 8163 processor running at 2.5 GHz. It features 24 dedicated physical cores with a 1.0 thread-per-core configuration and 24.0 GB of system memory, resulting in a low 1.0 GB of RAM per core. The instance lacks local storage and GPU accelerators, utilizing an 8 Gbps baseline network bandwidth. Benchmark results show weak single-core performance but average multi-core capabilities, with a PassMark CPU score of 18361.58 and a Geekbench multi-core score of 7777.0. Due to its low memory-to-CPU ratio, the instance is best suited for parallelized, compute-bound workloads with small memory footprints, such as software compilation, multi-threaded decompression, and static web serving, rather than memory-intensive database operations.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.907Score
      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) 1,858,756 ops/sec 1,896,415 ops/sec 0.98 50.00% 50.00% -1.01%
      Redis RPS (pipeline=16, SET) 10,544,707 ops/sec 11,539,523 ops/sec 0.914 20.00% 20.00% -1.78%
      PassMark Memory Mark (composite) 1,763 2,411 0.731 10.00% 10.00% -3.08%
      Memory bandwidth (read, 16 MB ~ L3) 104,238 MB/sec 107,368 MB/sec 0.971 10.00% 10.00% -0.29%
      PassMark single-thread CPU 1,666 Mops/s 2,363 Mops/s 0.705 10.00% 10.00% -3.44%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,009

      Geekbench Multi-Core

      Score: 7,777

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      18362
      Compression
      269373
      Encryption
      8203
      Extended Instructions
      18673
      Floating Point Maths
      31787
      Integer Maths
      59269
      Physics
      1758
      Prime Numbers
      90
      Single Threaded
      1666
      String Sorting
      35482

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      1763
      Database Operations
      6501
      Memory Latency
      75
      Memory Read Cached
      19328
      Memory Read Uncached
      6513
      Memory Write
      6728

      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.ic5.large 22 GiB0
      ecs.ic5.xlarge 44 GiB0
      ecs.ic5.2xlarge 88 GiB0
      ecs.ic5.3xlarge 1212 GiB0
      ecs.ic5.4xlarge 1616 GiB0
      ecs.ic5.8xlarge 3232 GiB0
      ecs.ic5.16xlarge 6464 GiB0

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      ecs.ic5.6xlarge FAQs