ecs.c7.16xlarge by Alibaba Cloud

ecs.c7.16xlarge is a ecs.c7 family (64 vCPUs, 128 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 64 vCPUs, 128 GiB of memory and 0 GB of storage. The pricing starts at 0.3837 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
62,125
(All-cores)
1,861
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7.16xlarge
Description
ecs.c7 family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c7
Hw Virt
Average Time To Start
18
Status
active
Observed At
2026-10-05T08:52:39.839757

Availability

REGION / IDSPOTONDEMAND
Heyuan (CN) / cn-heyuan
- 1.7974 USD/h
Ulanqab (CN) / cn-wulanchabu
- 1.8173 USD/h
Guangzhou (CN) / cn-guangzhou
0.41395 USD/h 2.0193 USD/h
Hangzhou (CN) / cn-hangzhou
- 2.0193 USD/h
Shanghai (CN) / cn-shanghai
- 2.0193 USD/h
Shenzhen (CN) / cn-shenzhen
- 2.0193 USD/h
Virginia (US) / us-east-1
- 2.448 USD/h
Frankfurt (DE) / eu-central-1
0.5309 USD/h 2.794 USD/h
Hong Kong (HK) / cn-hongkong
- 3.1104 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.7 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8369B
CPU L1D Cache
48 KiB
CPU L1D Cache Total
2 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
1 MiB
CPU L2 Cache Total
40 MiB
CPU L3 Cache
48 MiB
CPU L3 Cache Total
48 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, cpuid_fault, ibrs_enhanced, fsgsbase, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, avx512f, avx512dq, rdseed, adx, smap, avx512ifma, clflushopt, clwb, avx512cd, sha_ni, avx512bw, avx512vl, xsaveopt, xsavec, xgetbv1, xsaves, wbnoinvd, arat, avx512vbmi, pku, ospke, avx512_vbmi2, gfni, vaes, vpclmulqdq, avx512_vnni, avx512_bitalg, avx512_vpopcntdq, rdpid, fsrm, arch_capabilities
Ecpus
33.4
Scalability
52.19

System Resources and Accelerators

MEMORY
Memory Amount
128 GiB
Memory Amount Actual
128 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
      32 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A compute-optimized platform featuring dedicated Intel Xeon processors and high multi-core performance for demanding parallel processing workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7.16xlarge is a compute-optimized instance utilizing the KVM hypervisor and an Intel Xeon 8369B processor. It delivers 64 vCPUs (32 physical cores) running at 2.7 GHz, paired with 128.0 GB of RAM, resulting in a 2.0 GB per vCPU ratio. The instance features a baseline network bandwidth of 32 Gbps and lacks local storage or GPUs. Benchmark results show strong multi-core CPU performance, PassMark CPU scores, and cryptographic capabilities, supported by AVX-512 and VNNI instruction sets. Conversely, single-core processing and large-block memory bandwidth fall into average tiers. This configuration is optimized for multi-threaded workloads, database operations, and lightweight machine learning inference, though storage-heavy applications must account for the absence of local disks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      2.5Score
      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) 6,974,502 ops/sec 1,916,704 ops/sec 3.7 50.00% 50.00% +92.00%
      Redis RPS (pipeline=16, SET) 33,642,026 ops/sec 11,642,227 ops/sec 2.8 20.00% 20.00% +23.00%
      PassMark Memory Mark (composite) 2,805 2,417 1.2 10.00% 10.00% +1.80%
      Memory bandwidth (read, 16 MB ~ L3) 176,530 MB/sec 108,361 MB/sec 1.6 10.00% 10.00% +4.80%
      PassMark single-thread CPU 2,363 Mops/s 2,365 Mops/s 1 10.00% 10.00% 0.00%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 55792
      Compression
      		 895244
      Encryption
      		 51982
      Extended Instructions
      		 50610
      Floating Point Maths
      		 137736
      Integer Maths
      		 269504
      Physics
      		 4114
      Prime Numbers
      		 259
      Single Threaded
      		 2363
      String Sorting
      		 117536

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2805
      Database Operations
      		 25542
      Memory Latency
      		 52
      Memory Read Cached
      		 24113
      Memory Read Uncached
      		 11808
      Memory Write
      		 10988

      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.c7.large 24 GiB0
      ecs.c7.xlarge 48 GiB0
      ecs.c7.2xlarge 816 GiB0
      ecs.c7.3xlarge 1224 GiB0
      ecs.c7.4xlarge 1632 GiB0
      ecs.c7.6xlarge 2448 GiB0
      ecs.c7.8xlarge 3264 GiB0

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      ecs.c7.16xlarge FAQs