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ecs.c6.8xlarge by Alibaba Cloud

ecs.c6.8xlarge is a ecs.c6 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.
32 vCPU
64 GiB Memory
Spare SCore
27992
(All-cores)
1312
(Single-core)

Specifications

Server Metadata

Vendor ID
alicloud
Name
ecs.c6.8xlarge
Description
ecs.c6 family (32 vCPUs, 64 GiB RAM, 0 GB storage)
Family
ecs.c6
Hw Virt
Average Time To Start
16
Status
inactive
Observed At
2026-07-25T14:37:56.241544

Availability

REGION / IDSPOTONDEMAND

Processor

vCPUs
32
Hypervisor
KVM
CPU Allocation
Dedicated
CPU Cores
32
CPU Speed
2.5 GHz
CPU Architecture
x86_64
CPU Manufacturer
Intel
CPU Family
Xeon
CPU Model
8269CY
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
1 MiB
CPU L2 Cache Total
16 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
21.3
Scalability
66.56

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

      CPU and System Topology

      Server Description

      A dedicated 32-core compute-optimized instance with a balanced memory-to-core ratio for parallelized processing and multi-threaded workloads.

      Compute OptimizedGeneral Purpose

      Alibaba Cloud ecs.c6.8xlarge is an x86_64 compute-optimized instance featuring 32 dedicated physical cores powered by an Intel Xeon 8269CY processor running at 2.5 GHz. It is configured with 64.0 GB of RAM, providing 2.0 GB of memory per core, and lacks local storage and GPU accelerators. Network performance is supported by a 10 Gbps baseline bandwidth. Benchmark data indicates a clear performance tradeoff: single-core CPU performance and single-threaded compression are weak, placing in the bottom 25%, whereas multi-core capabilities, memory bandwidth, and database operations perform consistently in the average tier. With its 1:2 vCPU-to-RAM ratio, this instance is qualitatively cost-efficient for parallelized, compute-bound workloads rather than memory-intensive applications. It is well-suited for multi-threaded processing, static web serving, and distributed compute tasks.

      Economics

      Average Price per Region

      Prices per Zone

      Lowest Prices

      Performance

      Workload Profiles

      1.28Score
      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) 2,770,945 ops/sec 1,896,415 ops/sec 1.46 50.00% 50.00% +20.80%
      Redis RPS (pipeline=16, SET) 15,764,250 ops/sec 11,539,523 ops/sec 1.37 20.00% 20.00% +6.50%
      PassMark Memory Mark (composite) 2,488 2,411 1.03 10.00% 10.00% +0.30%
      Memory bandwidth (read, 16 MB ~ L3) 117,318 MB/sec 107,368 MB/sec 1.09 10.00% 10.00% +0.87%
      PassMark single-thread CPU 1,969 Mops/s 2,363 Mops/s 0.833 10.00% 10.00% -1.81%

      Memory Bandwidth

      Compression

      OpenSSL

      Passmark CPU Scores

      BENCHMARKSCORE
      Mark
      		 27240
      Compression
      		 437453
      Encryption
      		 12927
      Extended Instructions
      		 26484
      Floating Point Maths
      		 50192
      Integer Maths
      		 93451
      Physics
      		 2350
      Prime Numbers
      		 138
      Single Threaded
      		 1969
      String Sorting
      		 57116

      Passmark Memory Scores

      BENCHMARKSCORE
      Memory Mark
      		 2488
      Database Operations
      		 10879
      Memory Latency
      		 54
      Memory Read Cached
      		 22373
      Memory Read Uncached
      		 9669
      Memory Write
      		 9492

      Stress-ng Raw Scores

      Stress-ng Relative Multicore Performance

      Static Web Server

      Redis

      Alternatives

      Servers of the Same Family

      INSTANCEvCPUsMEMORYGPUs
      ecs.c6.large 24 GiB0
      ecs.c6.xlarge 48 GiB0
      ecs.c6.2xlarge 816 GiB0
      ecs.c6.3xlarge 1224 GiB0
      ecs.c6.4xlarge 1632 GiB0

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      ecs.c6.8xlarge FAQs