ecs.c7a.8xlarge by Alibaba Cloud

ecs.c7a.8xlarge is a ecs.c7a family (32 vCPUs, 64 GiB RAM, 0 GB storage) server offered by Alibaba Cloud with 32 vCPUs, 64 GiB of memory and 0 GB of storage. The pricing starts at 0.1379 USD per hour.
32 vCPU
64 GiB Memory
Spare SCore
43,132
(All-cores)
2,696
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c7a.8xlarge
Description
ecs.c7a family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c7a
Hw Virt
Status
active
Observed At
2026-09-11T23:53:15.504481

Availability

REGION / IDSPOTONDEMAND
Ulanqab (CN) / cn-wulanchabu
- 0.654 USD/h
Chengdu (CN) / cn-chengdu
0.1379 USD/h 0.726 USD/h
Shenzhen (CN) / cn-shenzhen
0.1597 USD/h 0.726 USD/h
Beijing (CN) / cn-beijing
- 0.726 USD/h
Guangzhou (CN) / cn-guangzhou
- 0.726 USD/h
Hangzhou (CN) / cn-hangzhou
- 0.726 USD/h
Shanghai (CN) / cn-shanghai
- 0.726 USD/h
Frankfurt (DE) / eu-central-1
- 1.0982 USD/h
Virginia (US) / us-east-1
- 1.0986 USD/h
Singapore (SG) / ap-southeast-1
0.3112 USD/h 1.1968 USD/h
Hong Kong (HK) / cn-hongkong
0.3112 USD/h 1.1968 USD/h
Jakarta (ID) / ap-southeast-5
- 1.197 USD/h
Tokyo (JP) / ap-northeast-1
0.2481 USD/h 1.3056 USD/h

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
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
512 KiB
CPU L1I Cache
32 KiB
CPU L1I Cache Total
512 KiB
CPU L2 Cache
512 KiB
CPU L2 Cache Total
8 MiB
CPU L3 Cache
32 MiB
CPU L3 Cache Total
64 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
16
Scalability
50

System Resources and Accelerators

MEMORY
Memory Amount
64 GiB
Memory Amount Actual
64 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
      8 Gbps
      Inbound Traffic
      0 GB/month
      Outbound Traffic
      0 GB/month
      IPv4
      0

      CPU and System Topology

      Server Description

      A dedicated compute-optimized instance featuring thirty-two physical AMD EPYC cores and a balanced memory architecture for processing-heavy workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c7a.8xlarge is an x86_64 compute-optimized instance featuring 32 dedicated physical cores and 32 vCPUs powered by an AMD EPYC 7T83 processor at 2.55 GHz. It is equipped with 64.0 GB of RAM, providing 2.0 GB of memory per core, and operates on the KVM hypervisor with an 8 Gbps baseline network bandwidth. The instance does not include local storage or GPU hardware. Performance benchmarks indicate strong single-core CPU execution and high PassMark memory scores, though multi-core operations and web serving throughput remain average. A key tradeoff is its weak large-block memory write bandwidth. This instance is designed for compute-heavy workloads such as software compilation, text processing, and medium-scale database operations where dedicated CPU resources are required without the need for high memory-to-CPU ratios.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.11Score
      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) 2,345,840 ops/sec 1,917,397 ops/sec 1.22 50.00% 50.00% +10.50%
      Redis RPS (pipeline=16, SET) 17,686,520 ops/sec 11,681,410 ops/sec 1.51 20.00% 20.00% +8.59%
      PassMark Memory Mark (composite) 2,772 2,418 1.15 10.00% 10.00% +1.41%
      Memory bandwidth (read, 16 MB ~ L3) 43,970 MB/sec 108,140 MB/sec 0.407 10.00% 10.00% -8.60%
      PassMark single-thread CPU 2,383 Mops/s 2,365 Mops/s 1.01 10.00% 10.00% +0.10%

      Memory Bandwidth

      Compression

      OpenSSL

      Geekbench Single-Core

      Score: 1,529

      Geekbench Multi-Core

      Score: 11,323

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 35963
      Compression
      		 501636
      Encryption
      		 34036
      Extended Instructions
      		 29886
      Floating Point Maths
      		 72671
      Integer Maths
      		 132932
      Physics
      		 2135
      Prime Numbers
      		 160
      Single Threaded
      		 2383
      String Sorting
      		 57557

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2772
      Database Operations
      		 10909
      Memory Latency
      		 57
      Memory Read Cached
      		 23662
      Memory Read Uncached
      		 17497
      Memory Write
      		 15445

      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-nps1.16xlarge 64128 GiB0
      ecs.c7a.16xlarge 64128 GiB0

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      ecs.c7a.8xlarge FAQs