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ecs.c4.4xlarge by Alibaba Cloud

ecs.c4.4xlarge is a ecs.c4 family (16 vCPUs, 32 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 16 vCPUs, 32 GiB of memory and 0 GB of storage. The pricing starts at 0.88 USD per hour.
16 vCPU
32 GiB Memory
Spare SCore
16657
(All-cores)
1579
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c4.4xlarge
Description
ecs.c4 family (16 vCPUs, 32 GiB RAM, 0 GB storage)
Family
ecs.c4
Hw Virt
Average Time To Start
7
Status
active
Observed At
2026-07-30T22:52:07.291634

Availability

REGION / IDSPOTONDEMAND
Hong Kong (HK) / cn-hongkong
- 0.88 USD/h

Processor

vCPUs
16
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
16
CPU Speed
3.2 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369HB
CPU L1D Cache
32 KiB
CPU L1D Cache Total
256 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
256 KiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
33 MiB
CPU L3 Cache Total
33 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, avx512_bf16, arat, avx512_vnni
Ecpus
10.5
Scalability
65.62

System Resources and Accelerators

MEMORY
Memory Amount
32 GiB
Memory Amount Actual
32 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
      6 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated 16-core Intel Xeon compute instance designed for high-throughput web serving, serialization, and vector-accelerated workloads without local storage.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c4.4xlarge is a compute-optimized virtual server featuring 16 dedicated vCPUs and 16 physical cores powered by an Intel Xeon 8369HB processor running at 3.2 GHz. Equipped with 32.0 GB of RAM (2.0 GB per core) and no local storage, this x86_64 instance relies on a KVM hypervisor and provides a baseline network bandwidth of 6 Gbps. Benchmark data indicates average CPU capabilities, with a PassMark CPU score of 17360.29 and support for AVX-512 vector instructions. However, memory performance is a relative bottleneck, with a PassMark memory score in the bottom 25%. The instance is well-suited for compute-intensive workloads such as static web serving, which registers at 9.51 GB/sec, Redis caching operations, and lightweight machine learning inference, though it is less optimal for memory-heavy database applications.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      0.855Score
      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) 1,760,021 ops/sec 1,896,415 ops/sec 0.928 50.00% 50.00% -3.67%
      Redis RPS (pipeline=16, SET) 8,928,528 ops/sec 11,539,523 ops/sec 0.774 20.00% 20.00% -4.99%
      PassMark Memory Mark (composite) 1,797 2,411 0.746 10.00% 10.00% -2.89%
      Memory bandwidth (read, 16 MB ~ L3) 73,420 MB/sec 107,368 MB/sec 0.684 10.00% 10.00% -3.73%
      PassMark single-thread CPU 2,340 Mops/s 2,363 Mops/s 0.99 10.00% 10.00% -0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 17360
      Compression
      		 262192
      Encryption
      		 7731
      Extended Instructions
      		 14878
      Floating Point Maths
      		 29964
      Integer Maths
      		 55747
      Physics
      		 984
      Prime Numbers
      		 78
      Single Threaded
      		 2340
      String Sorting
      		 32081

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 1797
      Database Operations
      		 4549
      Memory Latency
      		 88
      Memory Read Cached
      		 26723
      Memory Read Uncached
      		 7186
      Memory Write
      		 7166

      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.c4.xlarge 48 GiB0
      ecs.c4.2xlarge 816 GiB0
      ecs.c4.3xlarge 1224 GiB0

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      ecs.c4.4xlarge FAQs