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ecs.c7a.16xlarge by Alibaba Cloud

ecs.c7a.16xlarge is a ecs.c7a 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 0.2761 USD per hour.
64 vCPU
128 GiB Memory
Spare SCore
86350
(All-cores)
2697
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a.16xlarge
Description
ecs.c7a family (64 vCPUs, 128 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Status
active
Observed At
2026-07-30T14:48:07.051258

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 1.308 USD/h
Chengdu (CN) / cn-chengdu
0.2761 USD/h 1.453 USD/h
Shanghai (CN) / cn-shanghai
0.2761 USD/h 1.453 USD/h
Beijing (CN) / cn-beijing
- 1.453 USD/h
Guangzhou (CN) / cn-guangzhou
- 1.453 USD/h
Hangzhou (CN) / cn-hangzhou
- 1.453 USD/h
Shenzhen (CN) / cn-shenzhen
- 1.453 USD/h
Singapore (SG) / ap-southeast-1
- 2.3936 USD/h
Hong Kong (HK) / cn-hongkong
- 2.3936 USD/h
Jakarta (ID) / ap-southeast-5
- 2.394 USD/h
Tokyo (JP) / ap-northeast-1
0.5745 USD/h 2.6112 USD/h

Processor

vCPUs
64
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
64
CPU Speed
2.55 GHz
CPU Architecture
x86_64
CPU Manufacturer
AMD
CPU Family
EPYC
CPU Model
7T83
CPU L1D Cache
32 KiB
CPU L1D Cache Total
1 MiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
1 MiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
16 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
128 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, ht, syscall, nx, mmxext, fxsr_opt, pdpe1gb, rdtscp, lm, constant_tsc, rep_good, nopl, nonstop_tsc, cpuid, extd_apicid, 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, cmp_legacy, cr8_legacy, abm, sse4a, misalignsse, 3dnowprefetch, osvw, topoext, ssbd, ibrs, ibpb, stibp, vmmcall, tsc_adjust, bmi1, avx2, smep, bmi2, erms, invpcid, rdseed, adx, smap, clflushopt, clwb, sha_ni, xsaveopt, xsavec, xgetbv1, xsaves, clzero, xsaveerptr, wbnoinvd, arat, vaes, vpclmulqdq, rdpid, fsrm
Ecpus
32
Scalability
50

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
      16 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A high-density, compute-optimized virtual server featuring sixty-four dedicated AMD EPYC cores and exceptional memory bandwidth for demanding multi-threaded workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a.16xlarge is a compute-optimized instance featuring 64 dedicated AMD EPYC 7T83 vCPUs on the x86_64 architecture, paired with 128.0 GB of RAM. Operating on a KVM hypervisor, this instance provides a 1:2 vCPU-to-RAM ratio, 16 Gbps of baseline network bandwidth, and no bundled local storage or GPUs. Performance benchmarks place this server in the top 25% for stress-ng CPU tests, multi-threaded bzip3 decompression, and PassMark CPU evaluations, while its PassMark memory score reaches the top 10% tier. With strong results in Redis SET operations and image processing, the ecs.c7a.16xlarge is highly efficient for compute-heavy workloads, database operations, and small-scale LLM inference. Its dedicated CPU allocation ensures predictable performance, making it a qualitatively cost-effective choice for sustained multi-threaded processing.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.97Score
      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) 4,671,900 ops/sec 1,896,415 ops/sec 2.46 50.00% 50.00% +56.80%
      Redis RPS (pipeline=16, SET) 35,309,546 ops/sec 11,539,523 ops/sec 3.06 20.00% 20.00% +25.10%
      PassMark Memory Mark (composite) 2,971 2,411 1.23 10.00% 10.00% +2.09%
      Memory bandwidth (read, 16 MB ~ L3) 87,600 MB/sec 107,368 MB/sec 0.816 10.00% 10.00% -2.01%
      PassMark single-thread CPU 2,388 Mops/s 2,363 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,532

      Geekbench Multi-Core

      Score: 14,302

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 59200
      Compression
      		 1000668
      Encryption
      		 68061
      Extended Instructions
      		 55825
      Floating Point Maths
      		 145362
      Integer Maths
      		 265946
      Physics
      		 4266
      Prime Numbers
      		 320
      Single Threaded
      		 2388
      String Sorting
      		 114320

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2971
      Database Operations
      		 22043
      Memory Latency
      		 55
      Memory Read Cached
      		 23679
      Memory Read Uncached
      		 18173
      Memory Write
      		 15858

      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.c7a.large 24 GiB0
      ecs.c7a.xlarge 48 GiB0
      ecs.c7a.2xlarge 816 GiB0
      ecs.c7a.4xlarge 1632 GiB0
      ecs.c7a-nps1.8xlarge 3264 GiB0
      ecs.c7a.8xlarge 3264 GiB0
      ecs.c7a-nps1.16xlarge 64128 GiB0

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      ecs.c7a.16xlarge FAQs